The uniqueness of Psychiatry as a medical speciality lies in the fact that aside from tackling what it considers as illnesses, it has perchance to comment on and tackle many issues of social relevance as well. Whether this is advisable or not is another matter; but such a process is inevitable due to the inherent nature of the branch and the problems it deals with. Moreover this is at the root of the polarization of psychiatry into opposing (...) class='Hi'>psychosocial and biological schools. This gets reflected in their visualization of scope, in definitions and in methodology as well. Whilst healthy criticism of one against the other school is necessary, there should be caution against hasty application of one's frame of reference to an approach that does not intend to follow, or conform to, one's methodology. This should be done within the referential framework of the school critically evaluated, with due consideration for its methods and concepts. Similarly, as at present, there is no evidence to prove one or the other of these approaches as better, aside from personal choice. We can say so even if there is a strong paradigm shift towards the biological at present. A renaissance of scientific psychoanalysis coupled with a perceptive neurobiology which can translate those insights into testable hypotheses holds the greatest promise for psychiatry in the future. This suggests the need for unification of diverse appearing approaches to get a more comprehensive and enlightened worldview. It requires a highly integrative capacity. Just as a physicist thinks simultaneously in terms of particles and waves, a psychiatrist must think of motives, emotions and desires in the same breath as neurobiology, genetics and psychopharmacology. However, the integration must be attempted without destroying the internal cohesiveness of the individual schools. This will give a fair chance for polarization in which a single proper approach in psychiatry could emerge, which may be a conglomerate of diverse appearing approaches of today, or one which supersedes the rest. A synthesis of cognitive psychology and neuroscience offers the greatest promise at present. (shrink)

Recent years have seen the emergence of a new interdisciplinary field called embodied or enactive cognitive science. Whereas traditional representationalism rests on a fixed inside–outside distinction, the embodied cognition perspective views mind and brain as a biological system that is rooted in body experience and interaction with other individuals. Embodiment refers to both the embedding of cognitive processes in brain circuitry and to the origin of these processes in an organism’s sensory–motor experience. Thus, action and perception are (...) no longer interpreted in terms of the classic physical–mental dichotomy, but rather as closely interlinked. This paper describes the cycles of brain–organism interaction, of sensory–motor interaction with the environment and of embodied interaction with others. The brain is then interpreted as an organ of modulation and transformation that mediates the cycles of organism–environment interaction. Finally, consequences of the embodied and enactive approach for psychiatry are pointed out, in particular for a circular concept of mental illness. (shrink)

We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization (...) in order to explain cognition. To a large extent, practicing cognitive neuroscientists have already accepted this shift, but philosophical theory has not fully acknowledged and appreciated its significance. As a result, the explanatory framework underlying cognitive neuroscience has remained largely implicit. We explicate this framework and demonstrate its contrast with previous approaches. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Toward a Fictionalist Psychiatry?Sam Wilkinson, PhD (bio)I am deeply sympathetic to what Giulio Ongaro (2024a, 2024b, 2024c) writes in these three excellent interlocking papers. I will argue that there is a slightly more efficient way of approaching these issues. It involves adopting fictionalism rather than externalism (although fictionalism can accommodate externalist insights). Fictionalism is something that Ongaro briefly, and approvingly, mentions, in the final paper, but there is (...) an implicit realism in the initial approach. I am not sure there is much disagreement, however, and perhaps we end up in the same place, having approached from different starting points. The fictionalist approach is largely compatible with all of the substantive things Ongaro wants to say, but is, strictly speaking, in tension with the most natural interpretation of externalism, namely, construed as a form of descriptivism and realism (two notions I unpack later).Externalism, Evaluativism, and Social IntegrationA major theme of the first paper is that mainstream internalist Western psychiatry is bad at integrating the social dimension of mental illness. I agree. Furthermore, recent externalistic (enactive and predictive processing) approaches, while better, are still lacking in that they collapse the “social” into the “psychosocial.” Again, I agree. But my diagnosis (excuse the pun) is slightly different. The social dimension of illness concerns in large part the evaluative nature of illness, not the need to descriptively, causally capture a complex, objectively real phenomenon called “illness.”Having said this, in integrating this evaluative social dimension, we need to tread carefully lest we fail to meet the “demarcation challenge” (Murphy, 2008). This concerns the challenge of demarcating different kinds of problem. Humans have always had problems, for which they have needed help, accommodation, allowances made, and so on, but how do you distinguish mental health problems, from other kinds of problems? How do you distinguish money woes, or marital strife, both of which certainly cause unhappiness, or even psychological states that look like psychiatric symptoms (e.g., anxiety, low mood), from properly mental health problems?The biomedical “internalist” says: Easy! Either there is something objectively wrong with you, or there is not. However, notice that this is exactly [End Page 337] what externalists can say too, to the extent that they are trying to describe and define disorder in value-free terms. The only difference is that the internalist will talk about what is wrong within the biological boundaries of the organism, whereas the externalist will go beyond that.Externalism about a particular phenomenon, if it is to be a non-trivial position, needs to be sensitive to the distinction between cause and constitution (or what Adams & Azaiwa [2001] call “coupling-constitution confusion”). We see this in externalism about the mind in general. In the Extended Mind Hypothesis (Clark & Chalmers 1998), the claim is not that Otto’s notebook causally contributes to Otto’s mind (his belief about where MOMA is). Nobody would deny that. The interesting claim is that the notebook is constitutive of his belief: it is literally part of his mind. Similarly, nobody is denying that external (e.g., social) factors cause mental health problems, the question is: Do they constitute those problems? Externalism takes this question seriously and answers in the affirmative, at least in some cases. But the articulation of this has to be nuanced.Suppose I have crippling anxiety over financial concerns. Anxiety can be a mental health problem, but if, in this case, you transferring money into my bank account makes my anxiety disappear, then one might think this is not a mental health problem. It is a money problem. Or is it? Enter fictionalism (Wilkinson, 2022).Fictionalism is the view that calling someone mentally ill is not describing them as having a particular property, but involves something like engaging in a fiction, a fiction that has been constructed in order to encourage certain courses of action. According to fictionalism, given the facts, there is a lot of wiggle room about how we are to think of, and respond to, people’s problems.To borrow some insights from meta-ethics, when we examine normative discourse (one canonical domain being ethics) we can ask: what does the discourse do? And what... (shrink)

The “top-down” and “bottom-up” approaches have been thought to exhaust the possibilities for doing cognitive neuroscience. We argue that neither approach is likely to succeed in providing a theory that enables us to understand how cognition is achieved in biological creatures like ourselves. We consider a promising third way of doing cognitive neuroscience, what might be called the “neural dynamic systems” approach, that construes cognitive neuroscience as an autonomous explanatory endeavor, aiming to characterize in its own (...) terms the states and processes responsible for brain-based cognition. We sketch the basic motivation for the approach, describe a particular version of the approach, so-called ‘Dynamic Causal Modeling’ (DCM), and consider a concrete example of DCM. This third way, we argue, has the potential to avoid the problems that afflict the other two approaches. (shrink)

Cognitive neuroscience increasingly relies on complex data analysis methods. Researchers in this field come from highly diverse scientific backgrounds, such as psychology, engineering, and medicine. This poses challenges with respect to acquisition of appropriate scientific computing and data analysis skills, as well as communication among researchers with different knowledge and skills sets. Are researchers in cognitive neuroscience adequately equipped to address these challenges? Here, we present evidence from an online survey of methods skills. Respondents (n= 307) mainly comprised (...) students and post-doctoral researchers working in the cognitive neurosciences. Multiple choice questions addressed a variety of basic and fundamental aspects of neuroimaging data analysis, such as signal analysis, linear algebra, and statistics. We analyzed performance with respect to the following factors: undergraduate degree (grouped into Psychology, Methods, and Biology), current researcher status (undergraduate student, PhD student, and post-doctoral researcher), gender, and self-rated expertise levels. Overall accuracy was 72%. Not surprisingly, the Methods group performed best (87%), followed by Biology (73%) and Psychology (66%). Accuracy increased from undergraduate (59%) to PhD (74%) level, but not from PhD to post-doctoral (74%) level. The difference in performance for the Methods vs. non-methods (Psychology/Biology) groups was especially striking for questions related to signal analysis and linear algebra, two areas particularly relevant to neuroimaging research. Self-rated methods expertise was not strongly predictive of performance. The majority of respondents (93%) indicated they would like to receive at least some additional training on the topics covered in this survey. In conclusion, methods skills among junior researchers in cognitive neuroscience can be improved, researchers are aware of this, and there is strong demand for more skills-oriented training opportunities. We hope that this survey will provide an empirical basis for the development of bespoke skills-oriented training programs in cognitive neuroscience institutions. We will provide practical suggestions on how to achieve this. (shrink)

Neuroscience has long had an impact on the field of psychiatry, and over the last two decades, with the advent of cognitive neuroscience and functional neuroimaging, that influence has been most pronounced. However, many question whether psychopathology can be understood by relying on neuroscience alone, and highlight some of the perceived limits to the way in which neuroscience informs psychiatry. -/- Psychiatry as Cognitive Neuroscience is a philosophical analysis of the role of neuroscience in the (...) study of psychopathology. The book examines numerous cognitive neuroscientific methods, such as neuroimaging and the use of neuropsychological models, in the context of a variety of psychiatric disorders, including depression, schizophrenia, dependence syndrome, and personality disorders. -/- Psychiatry as Cognitive Neuroscience includes chapters on the nature of psychiatry as a science; the compatibility of the accounts of mental illness derived from neuroscience, information-processing, and folk psychology; the nature of mental illness; the impact of methods such as fMRI, neuropsychology, and neurochemistry, on psychiatry; the relationship between phenomenological accounts of mental illness and those provided by naturalistic explanations; the status of delusions and the continuity between delusions and ordinary beliefs; the interplay between clinical and empirical findings in psychopathology and issues in moral psychology and ethics. -/- With contributions from world class experts in philosophy and cognitive science, this book will be essential reading for those who have an interest in the importance and the limitations of cognitive neuroscience as an aid to understanding mental illness. (shrink)

Here we argue that a multidisciplinary research approach, such as currently practised in the field of developmental cognitive neuroscience, is key to maintaining current momentum and to future-proof the field of microbiome-gut-brain research. Moreover, such a comprehensive approach will also bring us closer to our aims of translation and targeted intervention approaches to improve mental health and well-being.

Typical approaches to resolving the sorites paradox attempt to show, in one way or another, that the sorites argument is not paradoxical after all. However, if one can show that the sorites is not really paradoxical, the task remains of explaining why it appears to be a paradox. Our approach begins by addressing the appearance of paradox and then explores what this means for the paradox itself. We examine the sorites from the perspective of the various brain systems that are (...) intuitively comfortable with the key features of the premises of the sorites argument. We suggest that the explicit and implicit cognitive systems are separately responsible for the initial plausibility of the categorical and inductive premises. The appearance of paradox is a function of our brain’s architecture and arises from the conflicting interactions of neurologically distinct systems. (shrink)

Could "cognitive neuroscience" be an oxymoron? "Cognitive" and "neuroscience" cohere only to the extent that the entities identified as "cognitive" can be coordinated with entities identified as neural. This coordination is typically construed as intertheoretic reduction between "levels" of scientific description. On the cognitive side, folk psychological concepts crystallize into behavioral taxonomies, which are further analyzed into purported cognitive capacities. These capacities are expressed or operationalized in paradigmatic experimental tasks. These cogs comprise a stable ontology, (...) sustaining more than a century of psychology. On the neural side, the biological hierarchy from cells to brains also affords a . (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 11.1 (2004) 71-80 [Access article in PDF] Some Reflections on the (Analytic) Philosophical Approach to Delusion Louis A. Sass There are more things in heaven and earth, Horatio, Than are dreamt of in your philosophy." —Hamlet, Act I, Scene 5 The peculiar, often problematic phenome na of psychopathology have been attract ing the attention of analytic philosophers in recent years. The topic of delusion (...) has been a particular draw, with a number of analytic philosophers attempting to use their conceptual tools, usually combined with ideas from cognitive neuroscience, to criticize the traditional understanding and to clarify the nature of this central psychiatric topic. It is useful to have this kind of interdisciplinary dialogue. Indeed, there is good reason to hope that concepts honed in the philosophy of mind and other philosophical subfields will help to sort out our understanding of a phenomenon (or set of phenomena) for which contemporary psychiatric definitions and conceptualizations are clearly inadequate and, in some respects, downright misleading (see Parnas and Sass 2001; Spitzer 1990).1Here, however, I would like to call attention to some weaknesses that, it seems to me, are rather common (I do not say universal) in many analytic philosophical approaches to psychopathology. In my opinion, there is a tendency to formulate issues and arguments in overly polarized, even dichotomous terms, and then to rely too uncritically on these essentialistic formulations in exploring the domain of inquiry. Although this polarizing tendency sometimes has the salutary effect of clarifying conceptual domains, it can, when taken too far, actually hamper our understanding of phenomena that are often fraught with ambiguities and complexities that defy many standard conceptualizations.The relationship between philosophy and psychopathology is obviously a two-way street—we are familiar, for example, with disorders that challenge deep philosophical assumptions about self and mind (e.g., blindsight, split-brain phenomena, perhaps also Dissociative Identity Disorder, and the first rank symptoms of schizophrenia). I am suggesting that, in their work on delusions, philosophers may need to put more emphasis on moving from the natural phenomena [End Page 71] of psychopathology and to the domain of philosophical analysis.I believe that a greater sensitivity to the modes of knowing associated with the phenomenological tradition, and to the forms of conceptual self-critique fostered by Ludwig Wittgenstein, are crucial ingredients for any adequate approach to delusion as well as many other topics in psychopathology. In my opinion, the work of many analytic philosophers interested in psychopathology would be enriched if they spent more time trying to discover and imagine what it might be like to experience certain kinds of abnormal psychiatric conditions, and also speculating about what implications such experiential modalities might have for action and verbal expression. I believe they would also be wise to spend more time questioning, and attempting to transcend, the philosophically derived conceptual distinctions and dichotomies that appear to organize their conceptual universes. Phenomenological imagination and Wittgensteinian critique can show how to move outside the conceptual capsule and into the rich and strange realms of actual experience, both normal and abnormal.So far I have offered only slogans. Let me use the articles by Tim Bayne and Elisabeth Pacherie (2004) and Robert Klee (2004) to flesh out the criticisms I have offered. There is much that is intelligent and much that is worthwhile in both their articles. (For example, I was largely convinced by the criticisms of John Campbell and of Donald Davidson that are central to the articles by Bayne and Pacherie and by Klee, respectively.) Here, however, I will focus only on issues that illustrate the above-mentioned tendencies—tendencies that, in my view, tend to infect even the best writings on the (analytic) philosophy of psychiatry. I will also make some remarks about the works of Campbell and Davidson, the two philosophers criticized in the articles by Bayne and Pacherie and by Klee. Because the article by Eugenie Georgaca (2004) is in a different tradition, I will say only a few words about it at the end. Bayne and Pacherie on the Preservation-Of-meaning... (shrink)

From Aristotle to Cognitive Neuroscience identifies the strong philosophical tradition that runs from Aristotle, through phenomenology, to the current analytical philosophy of mind and consciousness. In a fascinating account, the author integrates the history of philosophy of mind and phenomenology with recent discoveries on the neuroscience of conscious states. The reader can trace the development of a neuro-philosophical synthesis through the work of Aristotle, Kant, Wittgenstein, Husserl, Merleau-Ponty, Brentano and Hughlings-Jackson, among others, and so explore contemporary philosophical puzzles surrounding (...) consciousness and its relation to cerebral synchrony and connectedness. Of interest to students and scholars of neuroethics, neurophilosophy and philosophy of mind, as well as philosophy of psychiatry, From Aristotle to Neuroscience demonstrates the real essence of consciousness as it increasingly connects with philosophy, law, morality, aesthetics, and spirituality. (shrink)

Psychoanalysis was characterised by Freud as ‘the science of the unconscious mind’, and he never gave up hope that future developments in the neurosciences might contribute to a scientific foundation of psychoanalysis. This book explores the critical interdisciplinary dialogue between contemporary psychoanalysis and cognitive science, building bridges between researchers and clinicians to enable a better understanding of their passions, professional realities and engagement with psychoanalysis. Each chapter presents clinical case studies of the unconscious, alongside key (...) areas of debate and development, including: what are the differences between the conceptualisation of ‘the unconscious’ in psychoanalysis and in cognitive science? Are core concepts of psychoanalysis still plausible? And are such understandings of the unconscious still central to treating patients in contemporary psychotherapy? (shrink)

The paper presents, first, some general remarks about Husserl’s philosophical Phenomenology in view of relating it to the scientific study of consciousness, and recalls some of the basic methodological tenets of a Husserlian phenomenology of consciousness (I). It then introduces some recent work on so-called “mental imagery” in cognitive psychology and neuroscience (II). Next, a detailed exposition of a reflective analysis of conscious experiences that involve “imagery” or “images” is given (III), arguing thereby that reflective conceptual clarifications of various (...) forms of such experiences could contribute to research into their finer details. In order to show more distinctly that the conscious experiences involved in the contemporary cognitive and neuroscientific imagery research are indeed differently structured, a simple notation for designating the various structural components of the experiences under study will be used. In concluding (IV), some methodological assets concerning the present proposal of integrating the method of Husserlian phenomenology into the present-day, and hopefully even more so into the future study of consciousness are highlighted! (shrink)

The Emotion Ontology is an ontology covering all aspects of emotional and affective mental functioning. It is being developed following the principles of the OBO Foundry and Ontological Realism. This means that in compiling the ontology, we emphasize the importance of the nature of the entities in reality that the ontology is describing. One of the ways in which realism-based ontologies are being successfully used within biomedical science is in the annotation of scientific research results in publicly available databases. Such (...) annotation enables several objectives, including searching, browsing and cross-database data integration. A key benefit conferred by realismbased ontology is that suitably annotated research results are able to be aggregated and compared in a fashion that is based on the underlying reality that the science is studying. This has the potential of increasing the power of statistical analysis and meta-analysis in data-driven science. This aspect has been fruitfully exploited in the investigation of the functions of genes in molecular biology. Cognitive neuroscience uses functional neuroimaging to investigate the brain correlates of areas of mental functioning such as memory, planning and emotion. The use of functional neuroimaging to study affective phenomena such as the emotions is called ‘affective neuroscience’. BrainMap is the largest curated database of coordinates and metadata for studies in cognitive neuroscience, including affective neuroscience (Laird et al., 2005). BrainMap data is already classified and indexed using a terminology for classification, called the ‘Cognitive Paradigm Ontology’ (CogPO), that has been developed to facilitate searching and browsing. However, CogPO has been developed specifically for the BrainMap database, and the data are thus far not annotated to a realism-based ontology which would allow the discovery of interrelationships between research results across different databases on the basis of what the research is about. In this contribution, we describe ongoing work that aims to annotate affective neuroscience data, starting with the BrainMap database, using the Emotion Ontology. We describe our objectives and technical approach to the annotation, and mention some of the challenges. (shrink)

This article explores the overlap between systems biology and predictive neuroscience, placing them in their larger context, the contemporary trend of bioinformatic convergence across the sciences. These two domains overlap with respect to their interest in data accumulation and data integration; their reliance on computational statistical correlation; and their translational goals, that is, producing practical fruits and applications from the interscientific cross-pollination that contemporary data-integrative approaches make possible. The interventions that such translational conversations generate are medical and social in (...) nature, and are aimed at both prevention and treatment. It will be argued that such approaches, socially and medically applied, contain potential for conveying both agency-enhancing and agency-diminishing social messages. The article concludes with a call to balance the overwhelmingly quantitative focus characteristic of predictive neuroscience with more qualitative empirical methodologies. This would represent a double helical approach. (shrink)

Many philosophers and neuroscientists defend a view we express with the slogan that mental science is neuroscience. We argue that there are two ways of interpreting this view, depending on what is meant by ‘neuroscience’. On one interpretation, the view is that mental science is cognitive neuroscience, where this is the science that integrates psychology with the biology of the brain. On another interpretation, the view is that mental science is biological neuroscience, where this is the investigation concerned (...) with the chemistry, physiology and anatomy of neurons and neuronal assemblies. Since the claim about cognitive neuroscience is a scientific triviality, we concentrate on the claim about biological neuroscience, and criticise two initially promising lines of argument for it, one prompted by reflection on the history of biology, and one prompted by reflection on the neurophysiological process known as long‐term potentiation, which may be implicated in learning. We argue that neither of these arguments is successful in supporting the view that mental science is biological neuroscience. (shrink)

The Hooks et al. review of microbiota-gut-brain literature provides a constructive criticism of the general approaches encompassing MGB research. This commentary extends their review by: highlighting capabilities of advanced systems-biology “-omics” techniques for microbiome research and recommending that combining these high-resolution techniques with intervention-based experimental design may be the path forward for future MGB research.

In general, there are two ways to approach cognition. One is to start with the features of the human case and try to generalize to other species. Another is to start with the biological conditions under which natural cognition evolved and currently operates and ask what organisms do such that they might require cognition. A full account of cognition requires both. Cognitive biology, however, requires a biogenic approach. Tight integration with biological knowledge places strong constraints on (...) cognitive explanation. These constraints arise from the fact that cognition evolved in a particular context with very special features. All organisms are complex, self-organizing, dynamical systems that exist far from thermodynamic equilibrium and actively maintain themselves in this statistically improbable state by continuously manufacturing the components of the processes that sustain them. Organisms thus must interact with the world in ways that allow them to actively secure matter and energy. They are also persistence-valuing systems: most organisms have mechanisms for resisting or avoiding perturbations that threaten their integrity. A biogenic approach thus stresses the role of mechanisms that facilitate system persistence, for example, those that integrate information concerning external and internal states of affairs to facilitate adaptive behaviour; differentiate some states of affairs from others; invest different properties of the environment with different degrees of salience; appraise system needs relative to prevailing conditions, the potential for interaction, and whether the current interaction is succeeding ; and reduce the impact of random perturbations on system functioning, of which there are many, potentially lethal sources. These are recognisably cognitive functions. Mounting evidence suggests that even bacteria grapple with problems long familiar to cognitive scientists, including: integrating information from multiple sensory channels to marshal an effective response to fluctuating conditions; making decisions under conditions of uncertainty; communicating with conspecifics and others ; and coordinating collective behaviour to increase the chances of survival. Thus a biogenic approach not only justifies the use of very simple biological models to study cognition, it suggests that this is precisely where we ought to look to ascertain the general logic of the function, as well as the mechanisms that carry it out. (shrink)

Human brain is a highly evolved coordinating mechanism in the species Homo sapiens. It is only in the last 100 years that extensive knowledge of the intricate structure and complex functioning of the human brain has been acquired, though a lot is yet to be known. However, from the beginning of civilisation, people have been conscious of a 'mind' which has been considered the origin of all scientific and cultural development. Philosophers have discussed at length the various attributes of consciousness. (...) At the same time, most of the philosophical or scientific frameworks have directly or indirectly implied mind-body duality. It is now imperative that we develop an integrated approach to understand the interconnection between mind and consciousness on one hand and brain on the other. This paper begins with the proposition that the structure of the brain is analogous, at least to certain extent, to that of the computer system. Of course, it is much more sophisticated and complex. The second proposition is that the Chomskyean concept of 'mental organs' is a good working hypothesis that tries to characterise this complexity in terms of an innate cognitive framework. By following this dual approach, brain as a data processing system and brain as a superstructure of intricately linked mental organs, we can move toward a better understanding of 'mind' within the framework of empirical science. The one 'mental organ' studied extensively in Chomskyean terms is 'language faculty' which is unique in its relation to brain, mind and consciousness. (shrink)

Providing a new conceptual scaffold for further research in biology and cognition, this book introduces the new field of cognitive biology, a systems biology approach showing that further progress in this field will depend on a deep recognition of developmental processes, as well as on the consideration of the developed organism as an agent able to modify and control its surrounding environment. The role of cognition, the means through which the organism is able to cope with its environment, cannot (...) be underestimated. In particular, it is shown that this activity is grounded on a theory of information based on Bayesian probabilities. The organism is considered as a cybernetic system able to integrate a processor as a source of variety (the genetic system), a regulator of its own homeostasis (the metabolic system), and a selecting system separating the self from the non-self (the membrane in unicellular organisms). Any organism is a complex system that can survive only if it is able to maintain its internal order against the spontaneous tendency towards disruption. Therefore, it is forced to monitor and control its environment and so to establish feedback circuits resulting in co-adaptation. Cognitive and biological processes are shown to be inseparable. (shrink)

Clinical fields of the “sciences of the mind” (psychotherapy, psychiatry, etc.) lack integrative conceptual frameworks that have explanatory power. Mainly descriptive-classificatory taxonomies like DSM dominate the field. New taxonomies such as Research Domain Criteria (RDoC) aim to collect scientific knowledge regarding “systems” for “processes” of the brain. These terms have a supradisciplinary” meaning if they are considered in context of Systems Science. This field emerges as a platform of theories like general systems theory, catastrophe theory, synergetics, chaos theory, etc. (...) It provides a lot of abstract concepts, constructs, methods and models. We assume that these tools also enable theoretical integration in the diversified field of clinical practice in the sciences of the mind. Additionally, systems thinking in clinical psychology improves conceptual links to currently network-oriented neurobiology. However, clear definitions of systemic terms are necessary to emerge from their mainly metaphorical use. Here we revise mainly terms like “structure”, “process” and “dynamics” as they are used already in psychology, psychoanalysis, psychopathology and psychiatry in an ill-defined way. For instance, affective-cognitive structures like “life space” or “object representations” can be seen as products of mental processing. These structures, in turn, modulate dynamics of mental processes. Additionally, we suggest a coupled network concept of emotions and motivations as the main subsystem that modulates mental dynamics that results in a qualitative systemic model of the mind. Finally, we assume that a revisited systemic approach could improve interdisciplinary understanding of the mental. ystem for mental dynamics. In this context, we assume that a revisited systemic approach could improve interdisciplinary understanding of the mental. (shrink)

_NeuroAnalysis _investigates using the neural network and neural computation models to bridge the divide between psychology, psychoanalysis, and neuroscience when diagnosing mental health disorders and prescribing treatment. Avi Peled builds on Freud's early attempts to explain the neural basis of mental health by introducing neural computation as a bridging science to explain psychiatric disorders. Peled describes the brain as a complex system of interconnected units and goes on to suggest that conscious experience, feelings, and mood are emergent properties arising (...) from these complex organisations. This model describes mental health disorders in terms of perturbation to the optimal brain organisation, and demonstrates how particular disorders can be identified through a specific breakdown pattern of the brain’s organisation. This fresh approach to the diagnosis of psychiatric disorders will interest students, professors, and researchers of psychoanalysis, neuroscience, and their related fields. (shrink)

This article critically analyses the notion of intentionality from several philosophical cognitive points of view. The authors argue that the notion of mental representation in the wider sense and intentionality in the narrower sense remains elusive despite accommodated paradoxes, improved semantic precision and more sophisticated strategies in dealing with intentionality. We will argue that different approaches to intentionality appear to be coherent in their inferences. However, most of them become contradictory and mutually exclusive when juxtaposed and applied to borderline (...) questions. While the explanatory value of both philosophy of mind as well as cognitive psychology should not be underestimated, we must note that not even hard-core neuroscience has been able to pin point what is going on in our minds, let alone come up with a clear cut explanation how it works or a definition of what thought really is. To date, however, intentionality is the best of all explanatory models regarding mental representations. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 9.1 (2002) 87-90 [Access article in PDF] Phenomenological and Biological Psychiatry:Complementary or Mutual? James Morley Keywords: phenomenology, psychiatry, psychoanalysis, ontology. We feel that even if all possible scientific questions be answered the problems of life have still not been touched at all. (Witgenstein, Tractatus, 6.52) IF ONE WAS TO PERFORM a thought experiment by imagining a scientifically explained universe, how (...) would this explained universe resolve my issues of value and meaning? Would it help me to live a better life? In one sentence, Witgenstein expressed exactly the issues dividing, and defining, the phenomenological and biophysical approaches to psychiatry. (Natural) scientific questions are concerned with relations of physical causality while phenomenology is aimed at the problems of life, i.e., the elucidation of lived personal meanings.Clarifying the relation between phenomenology and the general psychiatric literature is clearly a significant undertaking. At this juncture in the history of psychiatry where the biophysical model is so dominant, the authors' efforts are especially welcome, as I wholeheartedly appreciate, and thank the authors for this endeavor. I only wish to explicate a few issues latent within the article and perhaps add a few supportive points. Explicitly or implicitly, the need for phenomenology in psychiatry is long enduring and will always persist (Ellenberger 1981, 1993). The integration of phenomenology with general psychiatric practice would certainly serve the needs of patients and society generally. But, in the present state of affairs where the biological model is so preeminent, a full accounting of the dramatic divergences between the two approaches is necessary if there is to be authentic dialogue between them.Essentially, I want to stress that phenomenology and natural science medicine are genuinely distinct paradigms for construing reality and organizing knowledge. As distinct scientific paradigms, each one is holistically self-contained. Like soap bubbles, if pushed together too forcefully one or the other may burst. In this case, it is more likely that the smaller, less prevalent paradigm would burst by becoming absorbed into the more dominant paradigm. I believe that this is precisely the risk when phenomenology is introduced to conventional psychiatry as "complementary." Whereas one could hardly object to any application of empathy and understanding toward the experiences of patients, it would be tragic if the [End Page 87] full philosophical power of phenomenology were to be overlooked in favor of its mere utility as a preliminary stage of diagnosis and assessment, a framework for bedside manners, or worst of all, an appendage to neuroscience or pharmacology. This would not be phenomenology but the very symptomatology that the authors have has so clearly distinguished from true phenomenology.This equation of phenomenology with symptomatology is exactly the misunderstanding that the authors so effectively address. However, I would hesitate to join the authors' optimism in regard to phenomenology's potential complementary role to conventional psychiatric practice. Furthermore, in the process of paradigm mix, certain constituents of each paradigm may be taken out of context and the strength of each paradigm thus diluted. For example, the very power of the experimental method is its reduction of phenomena to measurable variables that can be altered in order to discern causality. Unmeasurable variables detract form the rigor of this entire approach. Then on the other hand, phenomenological empathy is only possible within a standpoint that is severed from the causal thinking of experimental science. This is the holistic perceptual shift that cannot be accomplished when one only appends phenomenological insights to an otherwise materialist approach to psychiatry. Thus, it is not at all clear how one can be both phenomenological and nonphenomenologically natural scientific. Instead of positioning phenomenology as a potential complimentary component of natural-science psychiatry, both world views need to be examined, on their own terms, in a framework of mutuality.Empathy or the understanding of other peoples subjective experience is indeed an essential component of the application of phenomenology to clinical assessment and especially therapeutic treatment. But, to limit phenomenology to this theme alone may not honor the profoundly radical character of this paradigm. As the authors point out, phenomenology asks the practitioner to... (shrink)

Up to the 1960s, psychology was deeply under the influence of behaviourism, which focused on stimuli and responses, and regarded consideration of what may happen in the mind as unapproachable scientifically. This began to change with the devising of methods to try to tap into what was going on in the 'black box' of the mind, and the development of 'cognitive psychology'. With the study of patients who had suffered brain damage or injury to limited parts of the brain, (...) outlines of brain components and processes began to take shape, and by the end of the 1970s, a new science, cognitive neuroscience, was born. But it was with the development of ways of accessing activation of the working brain using imaging techniques such as PET and fMRI that cognitive neuroscience came into its own, as a science cutting across psychology and neuroscience, with strong connections to philosophy of mind. Experiments involving subjects in scanners while doing various tasks, thinking, problem solving, and remembering are shedding light on the brain processes involved. The research is exciting and new, and often makes media headlines. But there is much misunderstanding about what brain imaging tells us, and the interpretation of studies on cognition. In this Very Short Introduction Richard Passingham, a distinguished cognitive neuroscientist, gives a provocative and exciting account of the nature and scope of this relatively new field, and the techniques available to us, focusing on investigation of the human brain. He explains what brain imaging shows, pointing out common misconceptions, and gives a brief overview of the different aspects of human cognition: perceiving, attending, remembering, reasoning, deciding, and acting. Passingham concludes with a discussion of the exciting advances that may lie ahead.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable. (shrink)

This article historicises a dream analytic intervention launched in the 1930s by Scottish psychiatrist and future professor of psychological medicine at the University of Glasgow (1948–73), Thomas Ferguson Rodger (1907–78). Intimate therapeutic meetings with five male patients are preserved within the so-called ‘dream books’, six manuscript notebooks from Rodger’s earlier career. Investigating one such case history in parallel with lecture material, this article elucidates the origins of Rodger’s adapted, rapport-centred psychotherapy, offered in his post-war National Health Service, Glasgow-based department. Oriented (...) in a reading of the revealing fourth dream book, the article unearths a history of the reception and adaptation of psychoanalysis from within a therapeutic encounter and in a non-elite context. Situating Rodger’s psychiatric development in his Glasgow environment, it then contextualises the psychosocial narrative of the fourth book in relation to contrasting therapeutic commitments: an undiluted Freudianism and a pragmatic ‘commonsense’ psychotherapy, tempered to the clinical psychiatric, and often working-class, interwar Glasgow context. An exploration of pre-recorded dreams, transcribed free associations, and ‘weekly reports’ reveals that in practice, Rodger’s Meyerian attitude worked productively with Freudian techniques to ennoble the patient’s psychosocial testimony and personal wisdom. This psychotherapeutic eclecticism underpinned and made visible the patient’s concurrent faith in and resistance to psychoanalytic interpretation. Chronicling a collaborative route to psychotherapeutic knowledge within a discrete encounter, the article situates post-war treatment values in the interwar impasse of outpatient psychiatry. (shrink)

The biopsychosocial (BPS) model in psychiatry has come under fire for being too vague to be of any practical use in the clinic. For many, its central flaw consists in lack of scientific validity and philosophical coherence: the model never specified how biological, psychological and social factors causally integrate with one another. Recently, advances in the cognitive sciences have made great strides towards meeting this very ‘integration challenge.’ The paper begins by illustrating how enactivist and predictive (...) processing frameworks propose converging accounts of biopsychosocial integration that are far superior to those of previous theories. It argues, however, that the main problem of implementing the BPS model has less to do with integration than with the lack of a social etiology. Psychiatric practice leans heavily towards ‘bio’ and ‘psycho’ approaches, without an equally developed set of explanatory and therapeutic resources for dealing with the ‘social’ dimension of illness. This leaves psychiatry essentially internalist in orientation. As illustrated most poignantly by conditions such as functional neurological disorders, internalism comes with the risks of stigma and the curtailment of therapeutic possibilities. The paper argues that the answer to the failings of the BPS model lies in combining the integration challenge with the development of an ‘externalist psychiatry,’ which casts both causes and treatment of psychiatric illness onto the social environment. The following two papers explore the conditions that might make this idea a reality. (shrink)

Cognition and behavior are the result of neural processes occurring at multiple levels of organization. Synthetic computational approaches are capable of bridging the gaps between multiple organizational levels and contribute to our understanding of how neural structures give rise to specific dynamical states. Such approaches are indispensable for formulating the theoretical foundations of cognitive neuroscience.

Empathy is often split into an affective facet for embodied simulation or sometimes sensorial processing, and a cognitive facet for mentalizing and perspective-taking. However, a recent neurophenomenological framework proposes a graded view on empathy (i.e., “Graded Empathy”) that extends this dichotomy and considers multiple levels while integrating complex neural patterns and representations of subjective experience. In the current magnetoencephalography study, we conducted a multidimensional investigation of neural oscillatory modulations and their cortical sources in 44 subjects while observing stimuli that (...) convey vicarious pain (vs no-pain) in a broad time window and frequency range to explore rich neural representations of pain empathy. Furthermore, we collected participants’ subjective-experience of sensitivity to vicarious pain, as well as their self-reported trait levels of affective and cognitive empathy to examine the possible associations between neural mechanisms and subjective experiences and reports. While extending previous electrophysiological studies that mainly focused on alpha suppression, we found here four significant power modulation patterns corresponding to multiple facets of empathy: an early central (peaking in the paracentral sulcus) alpha (6–11 Hz) suppression pattern plausibly reflecting sensory processing, two early beta (15–23 Hz) suppression patterns in the mid-cingulate cortex (plausibly reflecting the affective component) and in the precuneus (plausibly reflecting the cognitive component), and a late anterior (peaking in the orbitofrontal cortex) alpha-beta (11–19 Hz) enhancement pattern (plausibly reflecting cognitive-control inhibitory response). Interestingly, the latter measure was negatively correlated with the subjective sensitivity to vicarious pain, thereby possibly revealing a novel inhibitory neural mechanism determining the subjective sensitivity to vicarious pain. Altogether, these multilevel findings cannot be accommodated by the dichotomous model of empathy (i.e., affective-cognitive), and provide empirical support to theGraded Empathyneurophenomenological framework. Furthermore, this work emphasizes the importance of examining multiple neural rhythms, their cortical generators, and reports of subjective-experience in the aim of elucidating the complex nature of empathy. (shrink)

A variety of scientific disciplines have set as their task explaining mental activities, recognizing that in some way these activities depend upon our brain. But, until recently, the opportunities to conduct experiments directly on our brains were limited. As a result, research efforts were split between disciplines such as cognitive psychology, linguistics, and artificial intelligence that investigated behavior, while disciplines such as neuroanatomy, neurophysiology, and genetics experimented on the brains of non-human animals. In recent decades these disciplines integrated, and (...) with the advent of techniques for imaging activity in human brains, the term cognitive neuroscience has been applied to the integrated investigations of mind and brain. This book is a philosophical examination of how these disciplines continue in the mission of explaining our mental capacities. (shrink)

Cognitive Science is a single-source undergraduate text that broadly surveys the theories and empirical results of cognitive science within a consistent computational perspective. In addition to covering the individual contributions of psychology, philosophy, linguistics, and artificial intelligence to cognitive science, the book has been revised to introduce the connectionist approach as well as the classical symbolic approach and adds a new chapter on cognitively related advances in neuroscience. Cognitive science is a rapidly evolving field that is (...) characterized by considerable contention among different views and approaches. Cognitive Science presents these in a relatively neutral manner. It covers many new orientations theories and findings, embedding them in an integrated computational perspective and establishing a sense of continuity and contrast with more traditional work in cognitive science. The text assumes no prerequisite knowledge, introducing all topics in a uniform, accessible style. Many topics, such as natural language processing and vision, however, are developed in considerable depth, which allows the book to be used with more advanced undergraduates or even in beginning graduate settings. A Bradford Book. (shrink)

The purpose of this paper is to explore an integrative approach to academic ethics research. Academic ethics is known as professional commitment towards ethical decision-making in education, research, and innovation. It has been practised in multiple forms, including academic integrity and research ethics within a larger educational and research landscape. Despite having several intertwining and overlapping features and principles of practice, higher education institutions all over the world have considered academic integrity and research ethics as two distinct subjects of practice. (...) Although the developmental history, guiding values, and principle-based practices of both academic integrity and research ethics have led us to separate theoretical and methodological understandings, the concurrently emerging threats towards ethical integrity in education, research, and innovation require an integrative approach to academic ethics. In this conceptual paper, I propose an integrative approach to academic ethics research based on the theoretical concepts/constructs and methodological practices of both academic integrity and research ethics in higher education. The integrative approach frames an Integrity Resolution, a positionality framework for academic ethics researchers. It aims to assist researchers and research practitioners of academic ethics to be aware of their own positioning while investigating ethical decision-making practices and misconduct in education and research. (shrink)

The concept of contextual emergence has been proposed as a non-reductive, yet well- defined relation between different levels of description of physical and other systems. It is illustrated for the transition from statistical mechanics to thermodynamical properties such as temperature. Stability conditions are shown to be crucial for a rigorous implementation of contingent contexts that are required to understand temperature as an emergent property. Are such stability conditions meaningful for contextual emergence beyond physics as well? An affirmative example from (...) class='Hi'>cognitive neuroscience addresses the relation between neurobiological and mental levels of description. For a particular class of partitions of the underlying neurobiological phase space, so-called generating partitions, the emergent mental states are stable under the dynamics. In this case, mental descriptions are (i) faithful representations of the neurodynamics and (ii) compatible with one another. (shrink)

The target article criticises reductionist programs in cognitive science for failing to take into account important explanatory features of the organism's physical embodiment and task environment. My aim in this commentary is to show how such features are increasingly being taken seriously by (some) researchers in cognitive neuroscience, who describe the functional activity of neural structures in terms that are context-sensitive rather than intrinsic. This approach can allow us to take seriously the concerns presented in Gallagher’s [2019] target (...) article without having to completely give up on neuroscientific explanations of human behaviour. (shrink)

Why do some people still choose psychoanalysis-Freud's so-called talking cure-when numerous medications are available that treat the symptoms of psychic distress so much faster? Elisabeth Roudinesco tackles this difficult question, exploring what she sees as a "depressive society": an epidemic of distress addressed only by an increasing reliance on prescription drugs. Far from contesting the efficacy of new medications like Prozac, Zoloft, and Viagra in alleviating the symptoms of any number of mental or nervous conditions, Roudinesco argues that the (...) use of such drugs fails to solve patients' real problems. In the man who takes Viagra without ever wondering why he is suffering from impotence and the woman who is given antidepressants to deal with the loss of a loved one, Roudinesco sees a society obsessed with efficiency and desperate for the quick fix. She argues that "the talking cure" and pharmacology represent not just different approaches to psychiatry, but different worldviews. The rush to treat symptoms is itself symptomatic of an antiseptic and depressive culture in which thought is reduced to the firing of neurons and desire is just a chemical secretion. In contrast, psychoanalysis testifies to human freedom and the power of language. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 9.1 (2002) 61-63 [Access article in PDF] Arguing from Neuroscience in Psychiatry James Phillips PHILIP GERRANS "A One-stage Explanation of the Cotard Delusion" provides an elegant example of the application of neuroscientific findings to known clinical phenomena in psychiatry. Gerrans argues that, in the cases of the Cotard and Capgras delusions, a one-stage explanation is sufficient to account for the clinical phenomena. (...) That is, the neuroanatomic defect and the consequent anomalous experience are sufficient to produce the delusion. According to Gerrans, we do not need to postulate that the delusion will emerge only if the anomalous experience is filtered through a faulty reasoning process (a two-stage explanation). Against the argument of Young and Leafhead (1996) that Cotard and Capgras delusions stem from the same neuroanatomic deficit and differentiate only in being processed differently—thus requiring a two-stage explanation—Gerrans argues that the respective neuroanatomic defects are in fact different, and that, therefore, the two delusional syndromes differ at the first stage and do not require the two-stage explanation suggested by Young and Leafhead.I do not have an opinion as to who is right in this disagreement, and I will devote these remarks to explaining why I do not have an opinion. In developing this explanation I will touch on what I find problematic in many discussions of neuroscience, neurocognitive models, and clinical psychiatry; I will thus use this article to highlight those problems.On the face of it, one would think that the issue raised by Gerrans should admit of a simple resolution. He argues that Capgras and Cotard delusions derive from different neural defects. Young and Leafhead, on the other hand, base their two-stage argument on the argument that the two delusions derive from the same neural defect. So which is it? Neuroscientists should be able to settle the issue and end the dispute. Gerrans remarks "that we need to look more closely at the CN [cognitive neuropsychiatric] explanation of the Capgras delusion." As he describes it, face recognition involves two components, a cognitive and an affective component, with separate neuroanatomic substrates. An individual successfully recognizes the face of a friend or acquaintance when she matches the cognitive recognition (cognitive component) with the affective tone of familiarity (second component). When there is a lesion in the neural substrate of the affective component, she may recognize the face but without the tone of familiarity. In her effort to understand her affective experience of the face as alien rather than as familiar, she may conclude that her friend has been replaced by a double. Thus we have the Capgras delusion.Let us now unpack this explanation. According to Gerrans, researchers have hypothesized [End Page 61] two anatomatically distinct pathways involved in face recognition. He writes: "Initially... these separate neuroanatomic substrates were hypothesized to lie in separate dorsal and ventral processing pathways, but the most persuasive hypothesis is that of Breen et al. that face recognition is performed in the ventral visual processing pathway, whereas covert [affective] recognition effects result from the activation of pathways connecting the ventral pathway and the limbic system. It is damage to these latter pathways that gives rise to the Capgras delusion."In other words, the explanation of Capgras delusions depends on a neurocognitive model, itself based on an unspecified base of neuroanatomic data. When Gerrans writes that "[t]he Capgras delusion arises in cases where, following a neurological accident, the pathways connecting the FRU [Face Recognition Unit] to the limbic system are damaged leaving ventral pathways and hence overt recognition unimpaired...," he means that the Capgras delusion arises in that manner if the proposed model bears any relation to the reality of the living brain and if real Capgras patients have suffered the hypothesized lesion. At this point the reader is struggling with the following questions: (1) What are the hard neuroanatomic data underpinning the neurocognitive model? (2) What is the argument for developing this model (single Face Recognition Unit with independent pathways to cognitive and affective components of face recognition) out of the hard data? (3) What is the evidence... (shrink)

The cognitive disorders that follow brain damage are an important source of insights into the neural bases of human thought. This work offers state-of-the-art reviews of the patient-based approach to central issues in cognitive neuroscience by leaders in the field.

Over the last decade the modeling and the storage of biological data has been a topic of wide interest for scientists dealing with biological and biomedical research. Currently most data is still stored in text files which leads to data redundancies and file chaos.In this paper we show how to use relational modeling techniques and relational database technology for modeling and storing biological sequence data, i.e. for data maintained in collections like EMBL or SWISS-PROT to better serve (...) the needs for these application domains. (shrink)

Over the last decade the modeling and the storage of biological data has been a topic of wide interest for scientists dealing with biological and biomedical research. Currently most data is still stored in text files which leads to data redundancies and file chaos.In this paper we show how to use relational modeling techniques and relational database technology for modeling and storing biological sequence data, i.e. for data maintained in collections like EMBL or SWISS-PROT to better serve (...) the needs for these application domains.For this reason we propose a two step approach. First, we model the structure (and therefore the meaning of the) data using an Entity-Relationship approach. The ER model leads to a clean design of a relational database schema for storing and retrieving the DNA and protein data extracted from various sources. Our approach provides the clean basis for building complex biological applications that are more amenable to changes and software ports than their file-base counterparts. (shrink)

Why do some people still choose psychoanalysis-Freud's so-called talking cure-when numerous medications are available that treat the symptoms of psychic distress so much faster? Elisabeth Roudinesco tackles this difficult question, exploring what she sees as a "depressive society": an epidemic of distress addressed only by an increasing reliance on prescription drugs. Far from contesting the efficacy of new medications like Prozac, Zoloft, and Viagra in alleviating the symptoms of any number of mental or nervous conditions, Roudinesco argues that the (...) use of such drugs fails to solve patients' real problems. In the man who takes Viagra without ever wondering why he is suffering from impotence and the woman who is given antidepressants to deal with the loss of a loved one, Roudinesco sees a society obsessed with efficiency and desperate for the quick fix. She argues that "the talking cure" and pharmacology represent not just different approaches to psychiatry, but different worldviews. The rush to treat symptoms is itself symptomatic of an antiseptic and depressive culture in which thought is reduced to the firing of neurons and desire is just a chemical secretion. In contrast, psychoanalysis testifies to human freedom and the power of language. (shrink)

Neural organization contains a wealth of facts from all areas of brain research and provides a useful overview of physiological data for those working outside the immediate field. Furthermore, it gives a good example that the approach of dynamical system theory together with the concepts of cooperative and competitive interaction can be fruitful for an interdisciplinary approach to cognition.

For three decades Jeremy Holmes has been a leading figure in psychodynamic psychiatry in the UK and across the world. He has played a central role in promoting the ideas of John Bowlby and in developing the clinical applications - psychiatric and psychotherapeutic - of Attachment Theory in working with adults. Drawing on both psychoanalytic and attachment ideas, Holmes has been able to encompass a truly biopsychosocialperspective. As a psychotherapist Holmes brings together psychodynamic, systemic and cognitive models, alert (...) to vital differences, but also keenly sensitive to overlaps and parallels. This volume of selected papers brings together the astonishing range of Holmes' interests and contributions. The various sections in the book cover: An extended interview - covering Holmes' career and philosophy as a psychodynamic psychiatrist 'Juvenilia' - sibling relationships, the psychology of nuclear weapons, and the psychodynamics of surgical intervention. Psychodynamic psychiatry: Integrative and Attachment-Informed A psychotherapy section inwhich he develops his model of psychotherapeutic change 'Heroes' - biographical pieces about the major influences including, John Bowlby, Michael Balint, David Malan, Jonathan Pedder and Charles Rycroft. 'Ephemera' - brief pieces covering such topics as frequency of psychodynamic sessions and fees. Attachments: Psychiatry, Psychotherapy, Psychoanalysis - The Selected Works of Jeremy Holmeswill be essential and illuminating reading for practitioners and students of psychiatry and psychotherapy in all its guises. (shrink)

New technologies and new ways of thinking have recently led to rapid expansions in the study of perceptual learning. We describe three themes shared by many of the nine articles included in this topic on Integrated Approaches to Perceptual Learning. First, perceptual learning cannot be studied on its own because it is closely linked to other aspects of cognition, such as attention, working memory, decision making, and conceptual knowledge. Second, perceptual learning is sensitive to both the stimulus properties of the (...) environment in which an observer exists and to the properties of the tasks that the observer needs to perform. Moreover, the environmental and task properties can be characterized through their statistical regularities. Finally, the study of perceptual learning has important implications for society, including implications for science education and medical rehabilitation. Contributed articles relevant to each theme are summarized. (shrink)

While translation competence assessment has been playing an increasingly facilitating role in translation teaching and learning, it still failed to offer fine-grained diagnostic feedback based on certain reliable translation competence standards. As such, this study attempted to investigate the feasibility of providing diagnostic information about students’ translation competence by integrating China’s Standards of English with cognitive diagnostic assessment approaches. Under the descriptive parameter framework of CSE translation scales, an attribute pool was established, from which seven attributes were identified based (...) on students’ and experts’ think-aloud protocols. A checklist comprising 20 descriptors was developed from CSE translation scales, with which 458 students’ translation responses were rated by five experts. In addition, a Q-matrix was established by seven experts. By comparing the diagnostic performance of four widely-used cognitive diagnostic models, linear logistic model was selected as the optimal model to generate fine-grained information about students’ translation strengths and weaknesses. Furthermore, relationships among translation competence attributes were discovered and diagnostic results were shown to differ across high and low proficiency groups. The findings can provide insights for translation teaching, learning and assessment. (shrink)

According to objective Bayesianism, an agent’s degrees of belief should be determined by a probability function, out of all those that satisfy constraints imposed by background knowledge, that maximises entropy. A Bayesian net offers a way of efficiently representing a probability function and efficiently drawing inferences from that function. An objective Bayesian net is a Bayesian net representation of the maximum entropy probability function. In this paper we apply the machinery of objective Bayesian nets to breast cancer prognosis. Background knowledge (...) is diverse and comes from several different sources: a database of clinical data, a database of molecular data, and quantitative data from the literature. We show how an objective Bayesian net can be constructed from this background knowledge and how it can be applied to yield prognoses and aid translation of clinical knowledge to genomics research. (shrink)

_Cognitive Neuroscience is an interdisciplinary area of research that combines measurement of brain activity (mostly by means of neuroimaging) with a simultaneous performance of cognitive tasks by human subjects. These investigations have been successful in the task of connecting the sciences of the brain (Neurosciences) and the sciences of the mind (Cognitive Sciences). Advances on this kind of research provide a map of localization of cognitive functions in the human brain. Do these results help us to understand (...) how mind relates to the brain? In my view, the results obtained by the Cognitive Neurosciences lead to new investigations in the domain of Molecular Neurobiology, aimed at discovering biophysical mechanisms that generate the activity measured by neuroimaging instruments. In this context, I argue that the understanding of how ionic/molecular processes support cognition and consciousness cannot be made by means of the standard reductionist explanations. Knowledge of ionic/molecular mechanisms can contribute to our understanding of the human mind as long as we assume an alternative form of explanation, based on psycho-physical similarities, together with an ontological view of mentality and spirituality as embedded in physical nature (and not outside nature, as frequently assumed in western culture)._. (shrink)