Consciousness and Neuroscience

Organoids and specifically human cerebral organoids (HCOs) are one of the most relevant novelties in the field of biomedical research. Grown either from embryonic or induced pluripotent stem cells, HCOs can be used as in vitro three-dimensional models, mimicking the developmental process and organization of the developing human brain. Based on that, and despite their current limitations, it cannot be assumed that they will never at any stage of development manifest some rudimentary form of consciousness. In the absence of behavioral (...) indicators of consciousness, the theoretical neurobiology of consciousness being applied to unresponsive brain-injured patients can be considered with respect to HCOs. In clinical neurology, it is difficult to discern a capacity for consciousness in unresponsive brain-injured patients who provide no behavioral indicators of consciousness. In such scenarios, a validated neurobiological theory of consciousness, which tells us what the neural mechanisms of consciousness are, could be used to identify a capacity for consciousness. Like the unresponsive patients that provide a diagnostic difficulty for neurologists, HCOs provide no behavioral indicators of consciousness. Therefore, this article discusses how three prominent neurobiological theories of consciousness apply to human cerebral organoids. From the perspective of the Temporal Circuit Hypothesis, the Global Neuronal Workspace Theory, and the Integrated Information Theory, we discuss what neuronal structures and functions might indicate that cerebral organoids have a neurobiological capacity to be conscious. (shrink)

Considerable recent research in neurosciences has dealt with the topic of consciousness, even though there is still disagreement about how to identify and classify conscious states. Recent behavioral work on the topic also exists. We survey recent behavioral and neuroscientific literature with the aims of commenting on strengths and weaknesses of the literature and mapping new directions and recommendations for experimental psychologists. We reconcile this literature with a view of human information processing (Cowan, 1988; Cowan et al., 2024) in which (...) a capacity-limited focus of attention is embedded within the activated portion of long-term memory, with dual bottom-up and top-down control of the focus of attention. None of the many extant theories fully captures what we propose as the organization of conscious thought at cognitive and neural levels. It seems clear that information from various cognitive functions, based on signals from various brain areas, is integrated into a conscious whole. In our new proposal, the integration involves funneling information to a hub or focus of attention neurally centered in the parietal lobes and functionally connected to areas representing the currently attended information. This funneling process (bringing information from diverse sensory and frontal sources to contact a small parietal area where attended information is coordinated and combined) may be the converse of global broadcasting, from other proposals (Baars et al., 2021; Baars & Franklin, 2003; Dehaene & Changeux, 2011). The proposed system incorporates many principles from previous research and theorization and strives toward a resolution of the relation between consciousness and attention. Keywords: consciousness, attention, embedded processes model, experimental psychology, neuroscience. (shrink)

This paper delves into Lawsin’s AI Paradox, the blueprint that draws the inherent limitations of artificial intelligence(AI) in achieving human equivalency. The core argument revolves around the distinction between "choice-driven learning"—a deterministic approach integral to AI—and "chance-driven discovery", a hallmark of human ingenuity, creativity, and individuality. The absence of stochasticity in AI systems renders them incapable of replicating the serendipitous processes that define human cognition, thereby reinforcing Lawsin’s assertion that while AI may achieve associative consciousness, it cannot attain equivalence to (...) human sapience. -/- At the center of this discourse is Lawsin’s Dictum, which articulates consciousness as the ability to process and correlate information: "If I can match X with Y, then I am conscious". This principle, grounded in dualparity (on/off, 0/1, yes/no), provides the foundation for understanding Associative Consciousness(AC) in both natural and artificial systems. Through examples such as the Whistle Model, which demonstrates associative functionality through Inscription by Design(ID), the research illustrates how embedded instructions enable systems to autonomously process inputs and produce outputs. While such systems fulfill the criteria of associative consciousness, they remain constrained by deterministic inscriptions and lack the capacity for chance-driven innovation. -/- The methodology extends these principles to analyze more complex systems, such as electrical circuits, ecosystems, and AI neural networks. Experimental simulations further highlight the deterministic nature of AI, revealing its inability to reinterpret unstructured variables or generate novel insights without preprogrammed logic. By contrast, human cognition integrates both choice and chance, fostering self-realization, individuality, and the ability to originate entirely new ideas—qualities unattainable by AI systems. -/- The paper also explores the Laws of Seven Inscriptions, which outlines the non-biological evolutionary criteria for life, Inscription by Design, which asserts everything is made up of materials and inscriptions, and the Theory of Generated Interim Emergence, which positions existence as a dynamic process transitioning between states of non-existence, latent-existence, and in-existence. These theories broaden the scope of Lawsin’s Dictum, offering insights into the roles of mechanical aliveness, sensoric awareness, and self-emergence in shaping cognition across artificial and natural domains. -/- Ultimately, this synthesis affirms the logical foundation of Lawsin’s AI Paradox, formalized as: - Premise 1: Humans acquire information through both choice and chance. - Premise 2: AI acquires information solely through choice. - Conclusion: Therefore, AI cannot achieve human equivalence. -/- . (shrink)

This is a review of the article in which the author attempted to state the long-standing (but often ignored) problem of consciousness definition, in which there are a slew of notions that purport to define the same phenomenon or, conversely, different phenomena labelled with the same notion of consciousness. We think that the felt qualities of our internal, phenomenological experience is exactly the point where the deepest essence of the consciousness phenomenon reveals itself.

Given the ever-present subject of consciousness wherever consciousness is, it is peculiar that consciousness researchers often mention mental states as if they are conscious independently of being the conscious states of someone [1, p. 132]. We refer to visual perceptions that become conscious, when in reality no one has ever studied mere conscious visual perceptions. What are studied are visual perceptions belonging to conscious human or animal subjects; it is the subjects who are conscious of visual stimuli, not the visual (...) perceptions. I do not know all the reasons why conscious subjects are rarely mentioned in consciousness science, but one could be pragmatic. Explaining the mysterious jump from the nonconscious nuts and bolts of neurons to the aurora borealis of consciousness is a hard problem. But it is an easy problem compared to explaining the emergence of a single conscious subject from the human brain’s 86 billion neurons [cf. 5]. Perhaps it is more practically realistic to solve the less hard problem before attempting to solve the harder hard problem. On the other hand, if we ignore a necessary condition for the presence of consciousness, our explanations of it could be plagued by inadequacy. And how can we explain our whole data set regarding consciousness if we neglect the most fundamental aspect of the data? (shrink)

Reflection on the relationship between free will and consciousness has mainly revolved around Libet-style experiments, for example by criticizing the claim that conscious intentions never cause what we do. Less attention has been paid to whether this response captures the sense in which consciousness is relevant for free will, however. In this paper I argue that scholars seem to accept two assumptions they should reject: (1) that the relationship between free will and consciousness is best characterized in terms of conscious (...) states and/or processes being part of the causal chain leading up to the action, and (2) that the third-person perspective is a suitable means to capturing the relationship between free will and consciousness. I provide an alternative proposal of how free will and consciousness may be related, in which an agent’s self-understanding of what she is doing and why, while acting, takes center stage. In order to capture the relationship between the two, I argue, the first-person perspective should be investigated instead of explained away. (shrink)

Objective: To evaluate the potential of arterial spin labeling (ASL) as an alternative to FDG-PET in the diagnosis of disorders of consciousness (DOC), we conducted a comparative study of the two modalities. Methods: A total of 36 DOC patients (11 female; mean age = 49.67 ± 14.54 years) and 17 healthy control (HC) participants (9 female; mean age = 31.9 ± 9.6 years) underwent both FDG-PET scans that measure metabolism via glucose uptake and ASL scans that measure cerebral blood flow (...) (CBF). CBF and metabolism in DOC and HC were compared, globally and for seven functional networks. Comparability of the two modalities was estimated using Spearman partial correlation for both global and network levels. Furthermore, a support vector machine (SVM) algorithm was used to train two classifiers to distinguish DOC patients from HC with normalized CBF or metabolism values from the seven networks. Performance of these classifiers was first evaluated through leave-one-subject-out (LOSO) cross-validation within their respective modalities. Subsequently, cross-modal validation was conducted: testing the ASL-trained classifier with PET data (ASL-to-PET validation) and vice versa (PET-to-ASL validation). Performance of each classifier was assessed using receiver operating characteristic (ROC) analysis, with area under the curve (AUC) as the metric. Results: Both modalities showed agreement in decreased CBF and metabolism in DOC patients compared to HC, at both global and network levels. The global brain and most networks showed significant positive partial correlation between CBF and metabolism. SVM classifiers, utilizing activity from seven networks as features, performed well in the both LOSO cross-validation (ASL-trained classifier: accuracy = 83.02%, AUC = 0.95; PET-trained classifier: accuracy = 98.12%, AUC = 0.98) and cross-modal validation (ASL-to-PET validation: accuracy = 84.90%, AUC =0.92; PET-to-ASL validation: accuracy = 73.58%, AUC = 0.93). Conclusion: Our results demonstrate that ASL provides information comparable to FDG-PET for DOC patients; moreover, classifiers trained on ASL data perform comparably well to those trained on FDG-PET data. Therefore, ASL could be a valuable alternative to FDG-PET in the clinical diagnosis of DOC, especially in light of its advantages: ease of acquisition, avoidance of radiation exposure, brevity of scanning time, and lower-cost. (shrink)

Christof Koch explores the only thing we directly experience: consciousness. At the book's heart is integrated-information theory, the idea that the essence of consciousness is the ability to exert causal power over itself, to be an agent of change. Koch investigates the physical origins of consciousness in the brain and how this knowledge can be used to measure consciousness in natural and artificial systems.

Conscious experiences in infants remain poorly understood. In this NeuroView, Passos-Ferreira discusses recent evidence for and against consciousness in newborn babies. She argues that the weight of evidence from neuroimaging and behavioral studies supports the thesis that newborn infants are conscious.

Review of Christof Koch, "States of mind: a neuroscientist searches for the seat of consciousness.".

A concise articulation of Neurobiological Emergence -- a theory that solves the "hard problem" of consciousness while also showing its widespread existence in nature (beyond just humans).

I argue that informational models of consciousness, including those proposed by the Integrated Information Theory, don’t presuppose or entail any particular view about the physical or metaphysical nature of consciousness. Such models only tell us how certain properties of consciousness can be mathematically described, thus providing a quantitative characterization of the phenomenon of consciousness that may contribute to the development of new methods of assessment and guide the explanatory project by supplying additional constraints on theoretical proposals. While informational models are (...) in principle compatible with multiple physical interpretations, a preliminary argument in favour of the continuity between informational approaches and the mechanistic project in neuroscience can be made based on historical precedents. (shrink)

In complexity theory, both the brain and consciousness are understood as trophic systems—they consume metabolic energy when they function. Complex systems are dynamic and nonlinear and comprise diverse entities that are interdependent and interconnected in such a way that information is shared and that entities adapt to one another. Some natural complex systems are complex adaptive systems (CAS), which are sensitive to change in relation to their environments and are often chaotic. Consciousness and the neural systems mediating consciousness may be (...) modeled as CAS and, more specifically, as intelligent complex adaptive systems (ICAS), where intelligence means that a nervous system can solve problems successfully by intervening between sensory input and behavioral output. Evolution of any ICAS will result in emergent properties, particularly advanced brains. Two processes are involved in integrating experience and knowledge: the effort after meaning and the effort after truth. These efforts are mediated by the predominance given to direct experience presented to the brain's sensorium and modeling processes mediated by higher cognitive functions. Understanding consciousness as an ICAS has profound repercussions in how anthropology conceives of culture. (shrink)

León and Zahavi (2023) have made a compelling case for the necessity of philosophy — and not only neuroscience — for investigating consciousness. In particular, they argue that any theory of consciousness cannot avoid philosophical enquiry and thus only can choose between good or bad philosophy. Also, the topics of self-consciousness and selfhood are highlighted as problems of consciousness sui generis next to the mind–body problem. I will try to elucidate a bit more the specific approaches to consciousness that philosophy (...) and neuroscience take and thus elaborate why the philosophy and the neuroscience of consciousness are complimentary rather than mutually exclusive. (shrink)

The natural evolution of consciousness in different animal species mandates that conscious experiences are causally potent in order to confer any advantage in the struggle for survival. Any endeavor to construct a physical theory of consciousness based on emergence within the framework of classical physics, however, leads to causally impotent conscious experiences in direct contradiction to evolutionary theory since epiphenomenal consciousness cannot evolve through natural selection. Here, we review recent theoretical advances in describing sentience and free will as fundamental aspects (...) of reality granted by quantum physical laws. Modern quantum information theory considers quantum states as a physical resource that endows quantum systems with the capacity to perform physical tasks that are classically impossible. Reductive identification of conscious experiences with the quantum information comprised in quantum brain states allows for causally potent consciousness that is capable of performing genuine choices for future courses of physical action. The consequent evolution of brain cortical networks contributes to increased computational power, memory capacity, and cognitive intelligence of the living organisms. (shrink)

We seem to have rich experience across our visual field. Yet we are surprisingly poor at tasks involving the periphery and low spatial attention. Recently, Lau and collaborators have argued that a phenomenon known as “subjective inflation” allows us to reconcile these phenomena. I show inflation is consistent with multiple interpretations, with starkly different consequences for richness and for theories of consciousness more broadly. What’s more, we have only weak reasons favouring any of these interpretations over the others. I provisionally (...) argue for an interpretation on which subjective experience is genuinely rich, but (in peripheral/unattended areas) unreliable as a guide to the external world. The main challenge for this view is that it appears to imply that experience in the periphery is not just unreliable but unstable. However, I argue that this consequence, while initially appearing unintuitive, is in fact plausible. (shrink)

We understand the workings of the human body as a series of interdependent physiological relationships: muscle interacts with bone as the heart responds to hormones secreted by the brain, all the way down to the inner workings of every cell. To make an organism function, no one component can work alone. In light of this, why is it that the accepted understanding that the physical phenomenon of the mind is attributed only to the brain? In The Embodied Mind, internationally renowned (...) psychiatrist Dr. Thomas R. Verny sets out to redefine our concept of the mind and consciousness. He brilliantly compiles new research that points to the mind's ties to every part of the body. The Embodied Mind collects disparate findings in physiology, genetics, and quantum physics in order to illustrate the mounting evidence that somatic cells, not just neural cells, store memory, inform genetic coding, and adapt to environmental changes-all behaviors that contribute to the mind and consciousness. Cellular memory, Verny shows, is not just an abstraction, but a well-documented scientific fact that will shift our understanding of memory. Verny describes single-celled organisms with no brains demonstrating memory, and points to the remarkable case of a French man who, despite having a brain just a fraction of the typical size, leads a normal life with a family and a job. The Embodied Mind shows how intelligence and consciousness-traits traditionally attributed to the brain alone-also permeate our entire being. Bodily cells and tissues use the same molecular mechanisms for memory as our brain, making our mind more fluid and adaptable than we could have ever imaged. (shrink)

Neural decoding studies seem to show that the “private” experiences of others are more accessible than philosophers have traditionally believed. While these studies have many limitations, they do demonstrate that by capturing patterns in brain activity, we can discover a great deal about what a subject is experiencing. We present a thought experiment about a super-decoder — the Atlantis machine — and argue that given plausible assumptions, an Atlantis machine could one day be built. On the basis of this argument, (...) we then argue for the rejection of robust notions of consciousness, which have generated numerous puzzles, including puzzles about the possibility of philosophical zombies. In light of the Atlantis machine, it can be seen that robust notions of consciousness do not earn their explanatory or descriptive keep. More modest concepts of consciousness are sufficient to account for all phenomena — in both senses of the term. This kind of antirobustness about consciousness is a deflationary approach to conscious experience that differs in important ways from illusionist approaches. (shrink)

To comprehend the world around us, we first have to decipher how our brains work. This book outlines a new approach to knowledge and understanding based on the elucidation of several basic neuronal mechanisms. This book explores the crucial fact that unconscious processes and conscious experiences form a continuum, which introduces the concept of 'rerepresentations'. Examples of rerepresentations can be seen in language, mathematics, technology and the arts. This fundamental notion captures the essence of being human, namely what separates us (...) from our evolutionary predecessors. For this reason, an effort has been made to present all notions from first principles, without assuming any background specialized knowledge. Although this volume will be more easily accessible to individuals with a background in sciences and medicine, Ways of Comprehending presents, in an accessible manner, important information which should be common knowledge, but is lacking among the vast majority of scientists, technocrats, and humanities scholars. The interdisciplinary, integrative approach presented in this book implies that different disciplines and notions which appear disconnected, are actually closely related. This approach elucidates how we think about topics such as mathematics, physics, painting, music, and philosophy. More importantly, it helps us understand the origin of our thoughts, feelings and actions. This finally brings deep insight and fulfilment or, more precisely, eudemonia. (shrink)

Negative subjective reports such as “I didn’t see the stimulus” can be interpreted as indicating either that the subject didn’t see the stimulus, or as indicating that, while the subject did see the stimulus, the strength of sensory signals associated with the stimulus fell below a conservative criterion for answering “seen”. Determining which of these two interpretations is correct is the criterion problem. I present two ways in which researchers can solve this problem. But there’s more. What I call the (...) “new criterion problem” consists in determining whether criteria effects reflect perceptual changes, or changes in response strategy. Through case studies, I argue that this new version of the problem can be solved as well, although there is currently no systematic way to solve it. I conclude that criterion problems do not constitute good reasons for skepticism about the scientific study of consciousness. (shrink)

Human brain organoids (HCOs) are laboratory-grown biological entities that have been added to the catalog of living entities for just over a decade. How they are formed and may continue to develop for some time is not irrelevant, given their peculiarity, which is that they mimic the human brain with a high degree of similarity. Revolving around this key issue is the discussion on our target article (Zilio and Lavazza 2023), for which we are grateful to all the commentators.

This article investigates the challenges posed by the reliability of knowledge in neurophenomenology and its connection to reality. Neurophenomenological research seeks to understand the intricate relationship between human consciousness, cognition, and the underlying neural processes. However, the subjective nature of conscious experiences presents unique epistemic challenges in determining the reliability of the knowledge generated in this research. Personal factors such as beliefs, emotions, and cultural backgrounds influence subjective experiences, which vary from individual to individual. On the other hand, scientific knowledge (...) aims to uncover universal truths based on empirical observations and objective principles. Reconciling the subjective and objective realms presents a significant challenge in determining the reliability of knowledge generated through neurophenomenological research. This article aims to examine the inherent limitations and challenges of neurophenomenological research to shed light on the complexities involved in understanding the nature of knowledge itself. This article highlights that the ontological implications of the reliability of knowledge in neurophenomenology arise from the question of how subjective experiences relate to objective reality. Understanding the neural correlates and mechanisms behind subjective experiences can provide insight into the underlying ontological nature of consciousness. (shrink)

The idea that individual nerve cells might have conscious experiences has been around ever since cells were identified in the seventeenth century, but in the era of modern neuroscience the case for individual human neuronal experience has received little attention. A series of arguments will be presented suggesting that all the human conscious experiences that we talk about are events in individual neurons, not global to the brain or organism. We conclude that cellular consciousness is the only plausible way to (...) explain ‘our’ experiences within current physics and biology, however implausible it might at first seem. This implies that our experiences are multiple in space as well as time, consistent with the neuroscience watchword that there is ‘no single place where everything comes together in the brain’. The central argument is that events of experience must involve rich integration of information and individual neurons are the only places in brains where integration of information occurs. Any more global ‘binding’ is neither required nor physically possible. The detailed nature of events of integration of signals in a neuron’s dendrites remains uncertain but recent developments provide some candidates. (shrink)

1. t. Plethysmographische untersuchungen. 1899.--2. t. Die physischen äquivalente der bewusstseinserscheinungen. 1901.--Atlas. 1899.--3. t. Elemente der psychodynamik. Text. 1905.

This paper investigates the compatibility between the theoretical framework of the global neuronal workspace theory (GNWT) of conscious processing and the perturbational complexity index (PCI). Even if it has been introduced within the framework of a concurrent theory (i.e. Integrated Information Theory), PCI appears, in principle, compatible with the main tenet of GNWT, which is a conscious process that depends on a long-range connection between different cortical regions, more specifically on the amplification, global propagation, and integration of brain signals. Notwithstanding (...) this basic compatibility, a number of limited compatibilities and apparent differences emerge. This paper starts from the description of brain complexity, a notion that is crucial for PCI, to then summary of the main features of PCI and the main tenets of GNWT. Against this background, the text explores the compatibility between PCI and GNWT. It concludes that GNWT and PCI are fundamentally compatible, even though there are some partial disagreements and some points to further examine. (shrink)