Although there is a substantial philosophical literature on dynamical systems theory in the cognitive sciences, the same is not the case for neuroscience. This paper attempts to motivate increased discussion via a set of overlapping issues. The first aim is primarily historical and is to demonstrate that dynamical systems theory is currently experiencing a renaissance in neuroscience. Although dynamical concepts and methods are becoming increasingly popular in contemporary neuroscience, the general approach should not be (...) viewed as something entirely new to neuroscience. Instead, it is more appropriate to view the current developments as making central again approaches that facilitated some of neuroscience’s most significant early achievements, namely, the Hodgkin–Huxley and FitzHugh–Nagumo models. The second aim is primarily critical and defends a version of the “dynamical hypothesis” in neuroscience. Whereas the original version centered on defending a noncomputational and nonrepresentational account of cognition, the version I have in mind is broader and includes both cognition and the neural systems that realize it as well. In view of that, I discuss research on motor control as a paradigmatic example demonstrating that the concepts and methods of dynamical systems theory are increasingly and successfully being applied to neural systems in contemporary neuroscience. More significantly, such applications are motivating a stronger metaphysical claim, that is, understanding neural systems as being dynamical systems, which includes not requiring appeal to representations to explain or understand those phenomena. Taken together, the historical claim and the critical claim demonstrate that the dynamical hypothesis is undergoing a renaissance in contemporary neuroscience. (shrink)

In his work Rewired: Exploring Religious Conversion, dealing with Wesleyan soteriology and neuroscience, Paul Markham claims that when one incorporates biology as an epistemic restriction in theologies of conversion, doctrines of instantaneous conversion are invalidated. He asserts that conversion must always be gradual, because the mechanism by which the brain changes in response to experience does not occur instantaneously; rather change is initiated and consolidated over an often lengthy span of time. I argue, however, that doctrines of instantaneous conversion (...) are maintained when taking neuroscience into account. First, for doctrines of conversion that hold to the imputation of Christ's righteousness, neuroscience is irrelevant, because statements of instantaneous change are in terms of a relational status and not biological. Rapid conversion is maintained as a metaphysical position. Second, an embodied and neurologically realized change is expected in theologies of conversion that hold to impartation and, contrary to Markham, immediate change is neurologically possible in a variety of ways. (shrink)

Dynamical systems theory (DST) is a branch of mathematics that assesses abstract or physical systems that change over time. It has a quantitative part (mathematical equations) and a related qualitative part (plotting equations in a state space). Nonlinear dynamical systems theory applies the same tools in research involving phenomena such as chaos and hysteresis. These approaches have provided different ways of investigating and understanding cognitive systems in cognitive science and neuroscience. The ‘dynamical hypothesis’ claims that cognition (...) is and can be understood as dynamical systems. Common consequences for such an approach include rejecting understanding cognition as information processing in nature, including eschewing explanatory roles for computation or representation. Contemporary applications of DST include mouse‐tracking studies in cognitive science and nonrepresentational perspectives on motor control in neuroscience. Such work has philosophical implications concerning the boundaries of cognition, explanation, and representations. DST offers powerful methodology and theories that raise many topics of philosophical significance. (shrink)

Kaplan and Craver claim that all explanations in neuroscience appeal to mechanisms. They extend this view to the use of mathematical models in neuroscience and propose a constraint such models must meet in order to be explanatory. I analyze a mathematical model used to provide explanations in dynamical systems neuroscience and indicate how this explanation cannot be accommodated by the mechanist framework. I argue that this explanation is well characterized by Batterman’s account of minimal model explanations (...) and that it demonstrates how relationships between explanatory models in neuroscience and the systems they represent is more complex than has been appreciated. (shrink)

Proponents of mechanistic explanations have recently proclaimed that all explanations in the neurosciences appeal to mechanisms. The purpose of the paper is to critically assess this statement and to develop an integrative account that connects a large range of both mechanistic and dynamical explanations. I develop and defend four theses about the relationship between dynamical and mechanistic explanations: that dynamical explanations are structurally grounded, that they are multiply realizable, possess realizing mechanisms and provide a powerful top-down heuristic. (...) Four examples shall support my points: the harmonic oscillator, the Haken–Kelso–Bunz model of bimanual coordination, the Watt governor and the Gierer–Meinhardt model of biological pattern formation. I also develop the picture of “horizontal” and “vertical” directions of explanations to illustrate the different perspectives of the dynamical and mechanistic approach as well as their potential integration by means of intersection points. (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.

We argue that dynamical and mathematical models in systems and cognitive neuro- science explain (rather than redescribe) a phenomenon only if there is a plausible mapping between elements in the model and elements in the mechanism for the phe- nomenon. We demonstrate how this model-to-mechanism-mapping constraint, when satisfied, endows a model with explanatory force with respect to the phenomenon to be explained. Several paradigmatic models including the Haken-Kelso-Bunz model of bimanual coordination and the difference-of-Gaussians model of visual receptive fields (...) are explored. (shrink)

Lewis describes the developmental core of dynamic systems theory. I offer recent data from developmental neuroscience on the sequential experience-dependent maturation of components of the limbic system over the stages of infancy. Increasing interconnectivity within the vertically integrated limbic system allows for more complex appraisals of emotional value. The earliest organization of limbic structures has an enduring impact on all later emotional processing.

The belief in free will has been frequently challenged since Benjamin Libet published his famous experiment in 1983. Although Libet’s experiment is highly dependent upon subjective reports, no study has been conducted that focused on a first-person or introspective perspective of the task. We took a neurophenomenological approach in an N = 1 study providing reliable and valid measures of the first-person perspective in conjunction with brain dynamics. We found that a larger readiness potential is attributable to more frequent occurrences (...) of self-initiated movements during negative deflections of the slow cortical potentials . These negative deflections occur in parallel with an inner impulse reported by an expert meditator which may in turn lead to a voluntary act. We demonstrate in this proof-of-principle approach that the first-person perspective obtained by an expert meditator in conjunction with neural signal analysis can contribute to our understanding of the neural underpinnings of voluntary acts. (shrink)

According to recent discussion, cross-explanatory integration in cognitive science might proceed by constraints on mechanistic and dynamic-mechanistic models provided by different research fields. However, not much attention has been given to constraints that could be provided by the study of first-person experience, which in the case of multifaceted mental phenomena are of key importance. In this paper, we fill this gap and consider the question whether information about first-person experience can constrain dynamic-mechanistic models and what the character of this relation (...) is. We discuss two cases of such explanatory models in neuroscience, namely that of migraine and of epilepsy. We argue that, in these cases, first-person insights about the target phenomena significantly contributed to explanatory models by shaping explanatory hypotheses and by indicating the dynamical properties that the explanatory models of these phenomena should account for, and thus directly constraining the space of possible explanations. (shrink)

While neuroscience has made enormous progress in understanding the brain, the implications of these empirical findings for ontological questions in philosophy including the mind–body problem remain yet unclear. In the first paper, I discussed the model of brain that as implied and supported by the empirical data. This leads me now to the question of an empirically plausible ontology of brain. Therefore, the aim in this second paper is the ontological characterization of the brain in terms of a process-based (...) ontology that avoids what Whitehead described as “simple location” and “fallacy of misplaced concreteness”. The discussion of the model of the brain is complemented by developing a process-based ontological characterization of the brain. Specifically, as based on Whitehead, I argue that “simple location” of the brain as thing or object in time and space amounts to nothing but an abstraction rendering what Whitehead described as “fallacy of misplaced concreteness”. Instead of describing the brain as static, non-temporal and isolated thing or object, I characterize the brain ontologically by dynamic, temporal, and relational processes. This leads me to a process-based ontology of brain which may be specified in spatiotemporal terms. Since the world’s larger spatiotemporal range or scale contains, e.g., nests, the smaller one of the brain, I characterize their ontological relationship by “spatiotemporal nestedness” and “spatiotemporal directedness”. Such spatiotemporal relationship between world and brain precludes the confusion between the world as whole and the brain as part, e.g., “mereological confusion”. I conclude that process-based or better, more specifically, spatiotemporal ontology of the brain and its relationship to the world may offer novel views on the question for the ontological relationship between mind and brain, e.g., the mind–brain problem, by converting or reformulating it as “world-brain problem”. (shrink)

The excellent commentaries to our target paper hint upon three main issues, spatiotemporal neuroscience; neuro-mental relationship; and mind, brain, and world relationship. We therefore discuss briefly the history of Spatiotemporal Neuroscience. Distinguishing it from Cognitive Neuroscience and related branches, Spatiotemporal Neuroscience can be characterized by focus on brain activity, spatiotemporal relationship, and structure. Taken in this sense, Spatiotemporal Neuro-science allows one to conceive the neuro-mental relationship in dynamic spatiotemporal terms that complement and extend their cognitive characterization. (...) Finally, more philosophical issues like the need to dissolve the mind-body problem and the question for different levels of time including their nestedness are discussed. (shrink)

Abstract: The notion of a self-pattern, as developed in the pattern theory of self, which holds that the self is best explained in terms of the kind of reality that pertains to a dynamical pattern, acknowledges the importance of neural dynamics, but also expands the account of self to extra-neural (embodied and enactive) dynamics. The pattern theory of self, however, has been criticized for failing to explicate the dynamical relations among elements of the self-pattern; as such, it seems (...) to be nothing more than a mere list of elements. We’ll argue that the dynamics of a self-pattern are reflected in three significant and interrelated ways that allow for investigation. First, a self-pattern is reflectively reiterated in its narrative component. Second, studies of psychiatric or neurological disorders can help us understand the precise nature of the dynamical relations in a self-pattern, and how they can fail. Third, referencing predictive processing accounts, neuroscience can also help to explicate the dynamical relations that constitute the self-pattern. (shrink)

Much of cognitive neuroscience as well as traditional cognitive science is engaged in a quest for mechanisms through a project of decomposition and localization of cognitive functions. Some advocates of the emerging dynamical systems approach to cognition construe it as in opposition to the attempt to decompose and localize functions. I argue that this case is not established and rather explore how dynamical systems tools can be used to analyze and model cognitive functions without abandoning the use (...) of decomposition and localization to understand mechanisms of cognition. (shrink)

Neuroscience was the basic science behind Freud's psychoanalytic theory and technique. He worked as a neurologist for 20 years before being aware that a new approach to understand complex diseases, namely the hysterias, was needed. Solms coined the term neuropsychoanalysis to affirm that neuroscience still belongs in psychoanalysis. The neuropsychoanalytic field has continued Freud's original ideas as stated in 1895. Developments in psychoanalysis that have been created or revised by the neuropsychoanalysis movement include pain/relatedness/opioids, drive, structural model, dreams, (...) cathexis, and dynamic unconscious. Neuroscience has contributed to the development of new psychoanalytic theory, such as Bazan's ( 2011 ) description of anxiety driven by unconscious intentions or “phantoms.” Results of adopting the “dual aspect monism” approach of idiographic psychoanalytic clinical observation combined with nomothetic investigation of related human phenomena include clarification and revision of theory, restoration of the scientific base of psychoanalysis, and improvement of clinical treatments. By imbricating psychoanalytic thinking with neuroscience, psychoanalysts are also positioned to make contributions to neuroscience research. Freud's original Project for a Scientific Psychology/Psychology for Neurologists can be carried forward in a way that moves psychoanalysis into the twenty-first century as a core contemporary science (Kandel, 1999 ). Neuroscience as the basic science of psychoanalysis both improves the field, and enhances its scientific and cultural status. (shrink)

In their review essay (published in this issue), Looren de Jong and Schouten take my 2003 book to task for (among other things) neglecting to keep up with the latest developments in my favorite scientific case study (memory consolidation). They claim that these developments have been guided by psychological theorizing and have replaced neurobiology's traditional 'static' view of consolidation with a 'dynamic' alternative. This shows that my 'essential but entirely heuristic' treatment of higher-level cognitive theorizing is a mistaken view of (...) actual scientific practice. In response I contend that, on the contrary, a closer look at the memory reconsolidation following reactivation experiments and data suggests (1) a less revolutionary judgment about the proposed alternative, and (2) a now-complete reliance on ruthlessly reductive experimental methods from cellular and molecular neuroscience. These conclusions save the heuristic status I propose for higher-level investigations of behavior and brain. I close with a brief comment on their further charge that I 'sell out' philosophy of science to factual developments in science itself. (shrink)

Scientific theories of consciousness identify its contents with the spatiotemporal structure of neural population activity. We follow up on this approach by stating and motivating Dynamical Emergence Theory, which defines the amount and structure of experience in terms of the intrinsic topology and geometry of a physical system’s collective dynamics. Specifically, we posit that distinct perceptual states correspond to coarse-grained macrostates reflecting an optimal partitioning of the system’s state space—a notion that aligns with several ideas and results from computational (...) neuroscience and cognitive psychology. We relate DET to existing work, offer predictions for empirical studies, and outline future research directions. (shrink)

The broad issue in this paper is the relationship between cognitive psychology and neuroscience. That issue arises particularly sharply for cognitive neurospsychology, some of whose practitioners claim a methodological autonomy for their discipline. They hold that behavioural data from neuropsychological impairments are sufficient to justify assumptions about the underlying modular structure of human cognitive architecture, as well as to make inferences about its various components. But this claim to methodological autonomy can be challenged on both philosophical and empirical grounds. (...) A priori considerations about (cognitive) multiple realisability challenge the thesis on philosophical grounds, and neuroscientific findings from developmental disorders substantiate that challenge empirically. The conclusion is that behavioural evidence alone is inadequate for scientific progress since appearances of modularity can be thoroughly deceptive, obscuring both the dynamic processes of neural development and the endstate network architecture of real cognitive systems. (shrink)

It is becoming ever more accepted that investigations of mind span the brain, body, and environment. To broaden the scope of what is relevant in such investigations is to increase the amount of data scientists must reckon with. Thus, a major challenge facing scientists who study the mind is how to make big data intelligible both within and between fields. One way to face this challenge is to structure the data within a framework and to make it intelligible by means (...) of a common theory. Radical embodied cognitive neuroscience can function as such a framework, with dynamical systems theory as its methodology, and self-organized criticality as its theory. (shrink)

This article is an account of the dynamics of interaction across the social sciences and neurosciences. Against an arid rhetoric of ‘interdisciplinarity’, it calls for a more expansive imaginary of what experiment – as practice and ethos – might offer in this space. Arguing that opportunities for collaboration between social scientists and neuroscientists need to be taken seriously, the article situates itself against existing conceptualizations of these dynamics, grouping them under three rubrics: ‘critique’, ‘ebullience’ and ‘interaction’. Despite their differences, each (...) insists on a distinction between sociocultural and neurobiological knowledge, or does not show how a more entangled field might be realized. The article links this absence to the ‘regime of the inter-’, an ethic of interdisciplinarity that guides interaction between disciplines on the understanding of their pre-existing separateness. The argument of the paper is thus twofold: (1) that, contra the ‘regime of the inter-’, it is no longer practicable to maintain a hygienic separation between sociocultural webs and neurobiological architecture; (2) that the cognitive neuroscientific experiment, as a space of epistemological and ontological excess, offers an opportunity to researchers, from all disciplines, to explore and register this realization. (shrink)

This book seeks to build bridges between neuroscience and social science empirical researchers and theorists working around the world, integrating perspectives from both fields, separating real from spurious divides between them and delineating new challenges for future investigation. Since its inception in the early 2000s, multilevel social neuroscience has dramatically reshaped our understanding of the affective and cultural dimensions of neurocognition. Thanks to its explanatory pluralism, this field has moved beyond long standing dichotomies and reductionisms, offering a neurobiological (...) perspective on topics classically monopolized by non-scientific traditions, such as consciousness, subjectivity, and intersubjectivity. Moreover, it has forged new paths for dialogue with disciplines which directly address societal dynamics, such as economics, law, education, public policy making and sociology. At the same time, beyond internal changes in the field of neuroscience, new problems emerge in the dialogue with other disciplines. Neuroscience and Social Science - The Missing Link puts together contributions by experts interested in the convergences, divergences, and controversies across these fields. The volume presents empirical studies on the interplay between relevant levels of inquiry (neural, psychological, social), chapters rooted in specific scholarly traditions (neuroscience, sociology, philosophy of science, public policy making), as well as proposals of new theoretical foundations to enhance the rapprochement in question. By putting neuroscientists and social scientists face to face, the book promotes new reflections on this much needed marriage while opening opportunities for social neuroscience to plunge from the laboratory into the core of social life. This transdisciplinary approach makes Neuroscience and Social Science - The Missing Link an important resource for students, teachers, and researchers interested in the social dimension of human mind working in different fields, such as social neuroscience, social sciences, cognitive science, psychology, behavioral science, linguistics, and philosophy. (shrink)

A key feature of facial behavior is its dynamic quality. However, most previous research has been limited to the use of static images of prototypical expressive patterns. This article explores the role of facial dynamics in the perception of emotions, reviewing relevant empirical evidence demonstrating that dynamic information improves coherence in the identification of affect (particularly for degraded and subtle stimuli), leads to higher emotion judgments (i.e., intensity and arousal), and helps to differentiate between genuine and fake expressions. The findings (...) underline that using static expressions not only poses problems of ecological validity, but also limits our understanding of what facial activity does. Implications for future research on facial activity, particularly for social neuroscience and affective computing, are discussed. (shrink)

From birth to 15 months infants and caregivers form a fundamentally intersubjective, dyadic unit within which the infant’s ability to recognize gender/sex in the world develops. Between about 18 and 36 months the infant accumulates an increasingly clear and subjective sense of self as female or male. We know little about how the precursors to gender/sex identity form during the intersubjective period, nor how they transform into an independent sense of self by 3 years of age. In this Theory and (...) Hypothesis article I offer a general framework for thinking about this problem. I propose that through repetition and patterning, the dyadic interactions in which infants and caregivers engage imbue the infant with an embodied, i.e., sensori-motor understanding of gender/sex. During this developmental period (which I label Phase 1) gender/sex is primarily an intersubjective project. From 15 to 18 months (which I label Phase 2) there are few reports of newly appearing gender/sex behavioral differences, and I hypothesize that this absence reflects a period of developmental instability during which there is a transition from gender/sex as primarily inter-subjective to gender/sex as primarily subjective. Beginning at 18 months (i.e., the start of Phase 3), a toddler’s subjective sense of self as having a gender/sex emerges, and it solidifies by 3 years of age. I propose a dynamic systems perspective to track how infants first assimilate gender/sex information during the intersubjective period (birth to 15 months); then explore what changes might occur during a hypothesized phase transition (15 to 18 months), and finally, review the emergence and initial stabilization of individual subjectivity-the period from 18 to 36 months. The critical questions explored focus on how to model and translate data from very different experimental disciplines, especially neuroscience, physiology, developmental psychology and cognitive development. I close by proposing the formation of a research consortium on gender/sex development during the first 3 years after birth. (shrink)

I develop a multilevel, holistic view of persons, emphasizing embodiment, emotions, consciousness, and the social self. In successive sections I draw from six sources: 1. Theology. The biblical understanding of the unitary, embodied, social self gave way in classical Christianity to a body‐soul dualism, but it has been recovered by many recent theologians. 2. Neuroscience. Research has shown the localization of mental functions in regions of the brain, the interaction of cognition and emotion, and the importance of social interaction (...) in evolutionary history and child development. 3. Artificial intelligence. Some forms of robotics use embodied systems that learn by interacting with their environment, but the possibilities for emotion, socialization, and consciousness in robots remain problematic. 4. Relations between levels. Concepts that can help us relate studies of neurons and persons include the hierarchy of levels, the communication of information, thebehavior of dynamic systems, and epistemological and ontological emergence. 5. Philosophy of mind. Two‐aspect theories of the mind‐brain relation offer an alternative between the extremes of eliminative materialism and the thesis that consciousness is irreducible. 6. Process philosophy. I suggest that process thought provides a coherent philosophical framework in which these themes can be brought together. It combines dipolar monism with organizational pluralism, and it emphasizes embodiment, emotions, a hierarchy oflevels, and the social character of selfhood. (shrink)

In a way that is rarely even attempted, and even more rarely actually pulled off, Susan Hurley, in her book Consciousness in Action, brings scientific ideas into contact with mainstream philosophy. It is not at all unusual for empirical results from cognitive science, psychology, and neuroscience to be raised in discussion of issues in philosophy of science and philosophy of mind--Dennett and the Churchlands, for example, have been doing so for years. But Hurley attempts to draw empirical results even (...) closer to the center of philosophy, using them to make points about metaphysics and epistemology more broadly, especially PutnamÂ’s Twin Earth cases. We are very fond of Hurley's book, and we agree with nearly all of her conclusions. We do think, though, that there are two important cases where Hurley has misunderstood scientific work. First, we think she misunderstand dynamical systems theory; second, we think her criticism of ecological psychology is misplaced. In neither case do these misunderstandings derail HurleyÂ’s overall project--indeed, the former of them makes her conclusions all the more plausible. We consider them in order. (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)

Recently, it has been provocatively claimed that dynamical modeling approaches signal the emergence of a new explanatory framework distinct from that of mechanistic explanation. This paper rejects this proposal and argues that dynamical explanations are fully compatible with, even naturally construed as, instances of mechanistic explanations. Specifically, it is argued that the mathematical framework of dynamics provides a powerful descriptive scheme for revealing temporal features of activities in mechanisms and plays an explanatory role to the extent it is (...) deployed for this purpose. It is also suggested that more attention should be paid to the distinctive methodological contributions of the dynamical framework including its usefulness as a heuristic for mechanism discovery and hypothesis generation in contemporary neuroscience and biology. (shrink)

Dynamical systems play a central role in explanations in cognitive neuroscience. The grounds for these explanations are hotly debated and generally fall under two approaches: non-mechanistic and mechanistic. In this paper, I first outline a neurodynamical explanatory schema that highlights the role of dynamical systems in cognitive phenomena. I next explore the mechanistic status of such neurodynamical explanations. I argue that these explanations satisfy only some of the constraints on mechanistic explanation and should be considered pseudomechanistic explanations. (...) I defend this argument against three alternative interpretations of the neurodynamical explanatory schema. The independent interpretation holds that neurodynamical explanations and mechanisms are independent. The constitutive interpretation holds that neurodynamical explanations are constitutive but otherwise non-mechanistic. Both the independent and constitutive interpretations fail to account for all the features of neurodynamical explanations. The partial interpretation assumes that the targets of dynamical systems models are mechanisms and so holds that neurodynamical explanations are incomplete because they lack mechanistic details. I contend instead that the targets of those models are dynamical systems distinct from mechanisms and defend this claim against several objections. I conclude with a defense of the pseudomechanistic interpretation and a discussion of the source of their explanatory power in relation to a causal-mechanical description of the world. (shrink)

The philosophical literature on scientific explanation in neuroscience has been dominated by the idea of mechanisms. The mechanist philosophers often claim that neuroscience is in the business of finding mechanisms. This view has been challenged in numerous ways by showing that there are other successful and widespread explanatory strategies in neuroscience. However, the empirical evidence for all these claims was hitherto lacking. Empirical evidence about the pervasiveness and uses of various explanatory strategies in neuroscience is particularly (...) needed because examples and case studies that are used to illustrate philosophical claims so far tend to be hand-picked. The risk of confirmation bias is therefore considerable: when looking for white swans, all one finds is that swans are white. The more systematic quantitative and qualitative bibliometric study of a large body of relevant literature that we present in this paper can put such claims into perspective. Using bibliometric tools, we identify the typical linguistic patterns used in the alleged mechanistic, dynamical, and topological explanations in the literature, their preponderance and how they change over time. Our findings show abundant use of mechanistic language, but also the presence of a significant neuroscience literature using topological and dynamical explanatory language, which grows over time and increasingly differentiates from each other and from mechanistic explanations. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Dynamic Encounters between Buddhism and the West ReportLaura Langone and Alexandra S. IlievaThe following is a summary of the 2021 Postgraduate Conference titled "Dynamic Encounters between Buddhism and the West," which took place online on June 28 and 29. The conference was conceptualized, organized, and run by three AHRC funded PhD students at the University of Cambridge: Laura Langone (Faculty of Modern and Medieval Languages); Alexandra S. Ilieva (Faculty (...) of Divinity); and Harry Harland (Faculty of Law). The conference took place over two days and featured eighteen presenters across six panels, and two keynote speakers. There were speakers from four continents (Europe, North America, Asia, and Oceania). A wide range of topics in multiple fields was discussed: religious studies, neuroscience, art history, politics, philosophy, literature, philology, mathematics, art, and music. Each day consisted of three panels, each with three presentations, one keynote presentation, and a networking session.The keynote speakers were Prof. Albrecht Classen (The University of Arizona) and Prof. Graham Parkes (University of Vienna).Prof. Classen opened the conference with his presentation. He taught us that we have been globalized and transcultural since at least the Middle Ages. To support this claim, he provided us with ample evidence of Buddhist-Western exchanges in Art and Literature dotted throughout the literature and architecture of Europe. Prof. Parkes observed that following Zen Master Dōgen's thought as well as Nietzsche's philosophy we can develop a saner approach to the environment, which provides us with resources to help us to tackle the challenges of the climate crisis.Our first panel was titled "Hellenistic-Buddhist Encounters," which followed on nicely from Prof. Classen's thesis that encounters between Buddhism and the West have been ubiquitous and have dated as far back as the Hellenistic period. Our second panel, "Encounters with the Contemporary World," were impressive examples of intercultural philosophy. Each participant demonstrated a unique ability to bring Buddhist ideas into dialogue with contemporary Western philosophy, specifically ethics, philosophy of mathematics, and epistemology. The third panel, titled "Therapeutic Encounters," taught us of the therapeutic value of Buddhist meditation and philosophical inquiry. As our presenters emphasized, this therapeutic value is not just an ancient artifact to be studied anthropologically, but a relevant and applicable approach to the modern idea of well-being that therefore deserves continued scholarship.On the second day, we started with our fourth panel called "Encounters through Western Conceptual Lenses," which among others gave us insight into the reception [End Page 393] of Japanese Buddhism by the German liberal protestants of the nineteenth century. Our fifth panel—"Encounters with German Philosophy"—was an excellent example of contemporary comparative work between Buddhist philosophy, ethics, and logic, and the German thinkers Hegel and Nietzsche.We learned that Nietzsche labeled Buddhism as nihilism––a position that can be challenged through Ambedkar's reading of Buddhism. On the other hand, despite Nietzsche's criticism of Buddhism, striking similarities between his approach to life and that of Mahāyāna Buddhism can be found, both elaborating a life-affirming philosophy. We also became familiar with similarities and differences between the logic of Nishida and Hegel. Finally, our last panel, "Literary and Artistic Encounters" made for a fitting conclusion, reminding us that Buddhist-Western encounters are ongoing, not just politically and intellectually but also in art, music, and literature. These encounters are dynamic in nature and fundamentally lacking in an essential core. Instead, they are entities that echo through the ages allowing for reinterpretation and reintegration across geographic and temporal scopes.Both during and after the conference we received extremely positive feedback from the participants. The level of participation and enthusiasm was highly promising, showing that the future of intercultural studies of this sort is bright. Graduate conferences like these are key for early career scholars to set up networks and find likeminded peers to engage in ongoing dynamic encounters.In conclusion, this conference served to highlight the sophisticated emerging scholarship taking place that seeks to investigate Buddhist-Western interactions and dialogue. But, perhaps more importantly, the conference itself makes a metapoint: not only has the world been transcultural for many centuries, but the conference itself and in particular the global spatial locations of... (shrink)

Over two decades have passed since the publication of van Gelder's (1998) “dynamical hypothesis.” In that paper, van Gelder proposed that cognitive agents were not digital computers—per the representational computational approach—but dynamical systems. The evolution of the dynamical hypothesis was driven by parallel advances in three areas. Theoretically, a deeper understanding of genetics, biology, neuroscience, and cognitive science inspired questions about how systems within each domain dynamically interact and extend their effects across spatiotemporal scales. Methodologically, more (...) sophisticated and domain-general tools allowed researchers to discover, model, and quantify system dynamics, structure, and patterns across multiple scales to generate a more comprehensive system-level understanding of behaviors. Empirically, we can analyze a system's behavior while preserving its natural dynamics, revealing evidence that the reductionist approach leads to an incomplete understanding of the components and the overall system. Researchers have traditionally reduced a complex system into its component processes and assumed that the parts can be recombined to explain the whole. These three advances fundamentally altered our understanding of a “cognitive agent:” How their behaviors are driven by long-range coordination across multiple processes, how the interdependent and nested structure of interacting variables produces behaviors that are greater than the sum of its parts, and how environmental constraints shape adaptive yet stable behavioral patterns. (shrink)

Neurophenomenology (Varela 1996) is not only philosophical but also empirical and experimental. Our purpose in this article is to illustrate concretely the efficiency of this approach in the field of neuroscience and, more precisely here, in epileptology. A number of recent observations have indicated that epileptic seizures do not arise suddenly simply as the effect of random fluctuations of brain activity, but require a process of pre-seizure changes that start long before. This has been reported at two different levels (...) of description: on the one hand, the epileptic patient often experiences some warning symptoms that precede seizures from several minutes to hours in the form of very specific lived events. On the other hand, the analyses of brain electrical activities have provided strong evidence that it is possible to detect a pre-seizure state in the neuronal dynamics several minutes before the electro-clinical onset of a seizure. We review here some of the ongoing work of our research group concerning seizure anticipation. In particular, we discuss experimental evidence of upward (local-to-global) formation of conscious experience and its neural substrate, but also of the downward (global-to-local) determination of local neuronal activity by situated conscious activity and its substrate large-scale neural assemblies. This causal role of conscious experience may lead to new kinds of therapy for epileptic patients. (shrink)

Introduction -- Historical essays -- The humanist brain : Alberti, Vitruvius, and Leonardo -- The enlightened brain : Perrault, Laugier, and Le Roy -- The sensational brain : Burke, Price, and Knight -- The transcendental brain : Kant and Schopenhauer -- The animate brain : Schinkel, Bötticher, and Semper -- The empathetic brain : Vischer, Wölfflin, and Göller -- The gestalt brain : the dynamics of the sensory field -- The neurological brain : Hayek, Hebb, and Neutra -- The phenomenal (...) brain : Merleau-Ponty, Rasmussen, and Pallasmaa -- Neuroscience and architecture -- Anatomy : architecture of the brain -- Ambiguity : architecture of vision -- Metaphor : architecture of embodiment -- Hapticity : architecture of the senses -- Epilogue: The architect's brain. (shrink)

Passive Brain-Computer interfaces (pBCIs) are a human-computer communication tool where the computer can detect from neurophysiological signals the current mental or emotional state of the user. The system can then adjust itself to guide the user towards a desired state. One challenge facing developers of pBCIs is that the system's parameters are generally set at the onset of the interaction and remain stable throughout, not adapting to potential changes over time such as fatigue. The goal of this paper is to (...) investigate the improvement of pBCIs with settings adjusted according to the information provided by a second neurophysiological signal. With the use of a second signal, making the system a hybrid pBCI, those parameters can be continuously adjusted with dynamic thresholding to respond to variations such as fatigue or learning. In this experiment, we hypothesize that the adaptive system with dynamic thresholding will improve perceived game experience and objective game performance compared to two other conditions: an adaptive system with single primary signal biocybernetic loop and a control non-adaptive game. A within-subject experiment was conducted with 16 participants using three versions of the game Tetris. Each participant plays 15 minutes of Tetris under three experimental conditions. The control condition is the traditional game of Tetris with a progressive increase in speed. The second condition is a cognitive load only biocybernetic loop with the parameters presented in Ewing et al. (2016). The third condition is our proposed biocybernetic loop using dynamic threshold selection. Electroencephalography was used as the primary signal and automatic facial expression analysis as the secondary signal. Our results show that, contrary to our expectations, the adaptive systems did not improve the participants' experience as participants had more negative affect from the BCI conditions than in the control condition. We endeavored to develop a system that improved upon the authentic version of the Tetris game, however, our proposed adaptive system neither improved players’ perceived experience, nor their objective performance. Nevertheless, this experience can inform developers of hybrid passive BCIs on a novel way to employ various neurophysiological features simultaneously. (shrink)

What happens when neuroscientific knowledges move from laboratories and clinics into therapeutic settings concerned with the care of children? ‘Brain-based parenting’ is a set of discourses and practices emerging at the confluence of attachment theory, neuroscience, psychotherapy and social work. The neuroscientific knowledges involved understand affective states such as fear, anger and intimacy as dynamic patterns of coordination between brain localities, as well as flows of biochemical signals via hormones such as cortisol. Drawing on our own attempts to adopt (...) brain-based parenting, and engaging with various strands and critiques of new materialism and affect theory, we explore the ways in which the social sciences and humanities might fruitfully engage with neuroscientific concepts and affects. How does science-affected indeterminacy, with all its promises of ontological and experiential agency, help us to observe, wait, bind or hold together volatile mixtures of habit, speech and action? (shrink)

In this study, we investigated the integration between neuroscience and entrepreneurship. First, we explored the concept of neuroentrepreneurship and the investigation of neuroentrepreneurship using scientific research methods. Second, we constructed a road map for entrepreneurial researchers interested in conducting neuroentrepreneurship-related research. This is an emerging research area; therefore, to more clearly analyze the dynamics of the research trends, we used a bibliometric method to capture patterns in current publications on subjects related to neuroentrepreneurship, examining papers published between 1999 and (...) 2021 using the keywords “neuroscience” and “entrepreneurship” or “neuroentrepreneurship.” To identify the keywords, we used two academic databases—the Social Science Citation Index and Science Citation Index—accessed through the Web of Science website. The three keywords were identified from studies integrating neuroscience with entrepreneurship. After carefully reviewing the research papers, we identified neuroentrepreneurship as a novel research area. The outcomes of this study provide a guide for describing the theoretical connection between neuroscience and entrepreneurship. In the future, this field of study should be empirically investigated. (shrink)

The definitive guide to 21st century investigations of multilingual neuroscience provides a comprehensive survey of neurocognitive investigations of multiple-language speakers. Prominent scholar John W. Schwieter offers a unique collection of works from globally recognized researchers in neuroscience, psycholinguistics, neurobiology, psychology, neuroimaging, and others, to provide a multidisciplinary overview of relevant topics. Authoritative coverage of state-of-the-art research provides readers with fundamental knowledge of significant theories and methods, language impairments and disorders, and neural representations, functions, and processes of the multilingual (...) brain.Focusing on up-to-date theoretical and experimental research, this timely handbook explores new directions of study and examines significant findings in the rapidly evolving field of multilingual neuroscience. Discussions on the bilingual advantage debate, recovery and rehabilitation patterns in multilingual aphasia, and the neurocognitive effects of multilingualism throughout the lifespan allow informed investigation of contemporary issues. Presents the first handbook-length examination of the neuroscience and neurolinguistics of multilingualism. Demonstrates how neuroscience and multilingualism intersect several areas of research, such as neurobiology and experimental psychology Includes works from prominent international scholars and researchers to provide global perspective Reflects cutting-edge research and promising areas of future study in the dynamic field of multilingual neuroscience. it is an invaluable resource for researchers and scholars in areas including multilingualism, psycholinguistics, second language acquisition, and cognitive science. This versatile work is also an indispensable addition to the classroom, providing advanced undergraduate and graduate students a thorough overview of the field. (shrink)

© 2015 Wong,Tassone,Rivera and Simon.Carriers of the fragile X premutation allele have an expanded CGG trinucleotide repeat size within the FMR1 gene and are at increased risk of developing fragile x-associated tremor/ataxia syndrome. Previous research has shown that male fXPCs with FXTAS exhibit cognitive decline, predominantly in executive functions such as inhibitory control and working memory. Recent evidence suggests fXPCs may also exhibit impairments in processing temporal information. The attentional blink task is often used to examine the dynamics of attentional (...) selection, but disagreements exist as to whether the AB is due to excessive or insufficient attentional control. In this study, we used a variant of the AB task and neuropsychological testing to explore the dynamics of attentional selection, relate AB performance to attentional control, and determine whether fXPCs exhibited temporal and/or attentional control impairments. Participants were adult male fXPCs, aged 18–48 years and asymptomatic for FXTAS and age-matched male controls. We found that fXPCs did not differ from controls in the AB task, indicating that the temporal dynamics of attentional selection were intact. However, they were impaired in the letter-number sequencing task, a test of executive working memory. In the combined fXPC and control group, letter-number sequencing performance correlated positively with AB magnitude. This finding supports models that posit the AB is due to excess attentional control. In our two-pronged analysis approach, in control participants we replicated a previously observed effect and demonstrated that it persists under more stringent theoretical constraints, and we enhance our understanding of fXPCs by demonstrating that at least some aspects of temporal processing may be spared. (shrink)

Philosophers have suggested that, in order to understand the particular visual state we are in during picture perception, we should focus on experimental results from vision neuroscience—in particular, on the most rigorous account of the functioning of the visual system that we have from vision neuroscience, namely, the ‘Two Visual Systems Model’. According to the initial version of this model, our visual system can be dissociated, from an anatomo-functional point of view, into two streams: a ventral stream subserving (...) visual recognition, and a dorsal stream subserving the visual guidance of action. Following this model, philosophers have suggested that, since the two streams have different functions, they represent different properties of a picture. However, the original view proposed by the ‘Two Visual Systems Model’ about the presence of a strong anatomo-functional dissociation between the two streams has recently been questioned on both philosophical and experimental grounds. Indeed, the analysis of several new pieces of evidence seems to suggest that many visual representations in our visual system, related to different tasks, are the result of a deep functional interaction between the streams. In the light of the renewed status of the ‘Two Visual Systems Model’, also our best philosophical model of picture perception should be renewed, in order to take into account a view of the process of picture perception informed by the new evidence about such interaction. Despite this, no account fulfilling this role has been offered yet. The aim of the present paper is precisely to offer such an account. It does this by suggesting that the peculiar visual state we are in during picture perception is subserved by interstream interaction. This proposal allows us to rely on a rigorous philosophical account of picture perception that is, however, also based on the most recent results from neuroscience. Unless the explanation offered in this paper is endorsed, all the recent evidence from vision neuroscience will remain unexplained under our best empirically informed philosophical theory of picture perception. (shrink)

Humans’ interactions with each other or with socially competent machines exhibit lawful coordination patterns at multiple levels of description. According to Coordination Dynamics, such laws specify the flow of coordination states produced by functional synergies of elements (e.g., cells, body parts, brain areas, people…) that are temporarily organized as single, coherent units. These coordinative structures or synergies may be mathematically characterized as informationally coupled self-organizing dynamical systems (Coordination Dynamics). In this paper, we start from a simple foundation, an elemental (...) model system for social interactions, whose behavior has been captured in the Haken-Kelso-Bunz (HKB) model. We follow a tried and tested scientific method that tightly interweaves experimental neurobehavioral studies and mathematical models. We use this method to further develop a body of empirical research that advances the theory toward more generalized forms. In concordance with this interdisciplinary spirit, the present paper is written both as an overview of relevant advances and as an introduction to its mathematical underpinnings. We demonstrate HKB’s evolution in the context of social coordination along several directions, with its applicability growing to increasingly complex scenarios. In particular, we show that accommodating for symmetry breaking in intrinsic dynamics and coupling, multiscale generalization and adaptation are principal evolutions. We conclude that a general framework for social coordination dynamics is on the horizon, in which models support experiments with hypothesis generation and mechanistic insights. (shrink)

This book offers a provocative account of interdisciplinary research across the neurosciences, social sciences and humanities. Setting itself against standard accounts of interdisciplinary 'integration,' and rooting itself in the authors' own experiences, the book establishes a radical agenda for collaboration across these disciplines. Rethinking Interdisciplinarity does not merely advocate interdisciplinary research, but attends to the hitherto tacit pragmatics, affects, power dynamics, and spatial logics in which that research is enfolded. Understanding the complex relationships between brains, minds, and environments requires a (...) delicate, playful and genuinely experimental interdisciplinarity, and this book shows us how it can be done. This book is open access under a CC-BY license and funded by The Wellcome Trust. (shrink)

This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first attempting to dissect the different notions of “dynamics” and “cognition” at play, a more specific theoretical framework for cognitive science broadly construed (...) is sketched. This framework draws upon not only dynamical ideas, but also such contemporaneous perspectives as situatedness, embodiment, ecological psychology, enaction, neuroethology/neuroscience, artificial life, and biogenic approaches. The paper ends with some methodological suggestions for pursuing this theoretical framework. (shrink)

I propose a cautionary assessment of the recent debate concerning the impact of the dynamical approach on philosophical accounts of scientific explanation in the cognitive sciences and, particularly, the cognitive neurosciences. I criticize the dominant mechanistic philosophy of explanation, pointing out a number of its negative consequences: In particular, that it doesn’t do justice to the field’s diversity and stage of development, and that it fosters misguided interpretations of dynamical models’ contribution. In order to support these arguments, I (...) analyze a case study in computational neuroethology and show why it should not be understood through a mechanistic lens; I specially focus on Zednik’s mechanistic interpretation of the case study. In addition, I argue for a greater appreciation of the relation between explanation and other epistemic goals in the field, as well as an increased sensitivity towards the associated contextual factors. (shrink)

Following in a psychological and musicological tradition beginning with Leonard Meyer, and continuing through David Huron, we present a functional, cognitive account of the phenomenon of expectation in music, grounded in computational, probabilistic modeling. We summarize a range of evidence for this approach, from psychology, neuroscience, musicology, linguistics, and creativity studies, and argue that simulating expectation is an important part of understanding a broad range of human faculties, in music and beyond.

Using a metaphorical reminiscence upon holiday toys - and the hopes, challenges and possibilities they presented - this essay addresses the ways that the heuristics, outcomes and products of neuroscience have effected change in the human condition, predicament, and being. A note of caution is offered to pragmatically assess what can be done with neurotechnology, what can't, and what should and shouldn't - based upon the capacities and limitations of both the science, and our collective ability to handle knowledge, (...) power and the unknown. This is not an appeal to impede brain research. To the contrary, it is a call to engage neuroethics as a discipline and set of practices 1) to allow a deeper, more finely-grained understanding of brains and their functions in ecological dynamics (that we define as morality and ethics), and 2) to intuit how to engage neuroscientific research and its applications in the social sphere (inclusive of medicine, public life and national agenda), to more accurately perceive how neuroscience is changing human society and the human being, and to instantiate more relevant ethics and laws that are in step with advancing epistemological capital and technological capability. (shrink)