This is the first book to use complexity theory to open up the 'geophilosophy' developed by Gilles Deleuze and Félix Guattari in A Thousand Plateaus, Anti-Oedipus and What is Philosophy?.

We focus on one aspect of Wright & Liley's target article: the linearity of the EEG. According to the authors, some nonlinear models of the cortex can be reduced (approximated) to the linear case at the millimetric scale. We argue here that the statement about the linear character of EEG is too strong and that EEG exhibits nonlinear features which cannot be ignored.

The neurophysiological evidence from the Miyashita group's experiments on monkeys as well as cognitive experience common to us all suggests that local neuronal spike rate distributions might persist in the absence of their eliciting stimulus. In Hebb's cell-assembly theory, learning dynamics stabilize such self-maintaining reverberations. Quasi-quantitive modeling of the experimental data on internal representations in association-cortex modules identifies the reverberations (delay spike activity) as the internal code (representation). This leads to cognitive and neurophysiological predictions, many following directly from the language (...) used to describe the activity in the experimental delay period, others from the details of how the model captures the properties of the internal representations. (shrink)

Interpreting the Miyashita et al. experiments in terms of a cellassembly representation does not adequately explain the performance of Miyashita's monkeys on novel stimuli. We will argue that the latter observations point to acompositionalrepresentation and suggest a dynamics involving rapid and reversible binding of distinct activity patterns.

Recurrent excitation is experimentally well documented in cortical populations. It provides for intracortical excitatory biases that linearize negative feedback interactions and induce macroscopic state transitions during perception. The concept of the local neighborhood should be expanded to spatial patterns as the basis for perception, in which large areas of cortex are bound into cooperative behavior with near-silent columns as important as active columns revealed by unit recording.

Experiments with remote perception and Random Event Generators (REG) performed over the last decades show small but significant anomalous effects. Since these effects seem to be independent of spatial and temporal distance, they appear to be in disagreement with the standard scientific worldview. A very simple explanation of quantum mechanics is pre- sented, rejecting all unjustified claims about the world. A view of mind in agreement with cognitive neuroscience is introduced. It is argued that mind and consciousness are emer- gent (...) properties of the brain and are understandable without any nonphysical assumptions. A plausible explanation of the results of anomalous experiments, based on the concept of synchronicity, introduced by C.G. Jung and advocated by W. Pauli, is offered. A proof is given that strong correlations should exist between any systems that once interacted. Synchronicity events between parts of the brain and physical objects may be sufficient to explain the results of anomalous experiments. Standard physics is sufficient to understand these phenomena. Motto. (shrink)

In this paper, we examine how increasing understanding and explicit awareness of social consciousness can develop through transformations in worldview. Based on a model that emerged from a series of qualitative and quantitative studies on worldview transformation, we identify five developmental levels of social consciousness: embedded, self-reflexive, engaged, collaborative, and resonant. As a person's worldview transforms, awareness can expand to include each of these levels, leading to enhanced prosocial experiences and behaviours. Increased social consciousness can in turn stimulate further transformations (...) in worldview. We then consider an educational curriculum to facilitate the understanding of worldview and the cultivation of social consciousness as core capacities for twenty-first century students and global citizens. (shrink)

In Flourish, the positive psychologist Martin Seligman (2011) identifies five commonly recognized factors that are characteristic of human flourishing or wellbeing: (1) “positive emotion,” (2) “relationships,” (3) “engagement,” (4) “achievement,” and (5) “meaning” (p. 24). Although there is no settled set of necessary and sufficient conditions neatly circumscribing the bounds of human flourishing (Seligman, 2011), we would mostly likely consider a person that possessed high levels of these five factors as paradigmatic or prototypical of human flourishing. Accordingly, if we wanted (...) to go about the practical task of actually increasing our level of wellbeing, we ought to do so by focusing on practically increasing the levels of the five factors that are characteristic of wellbeing. If, for instance, an activity such as musical engagement can be shown to positively influence each or all of these five factors, this would be compelling evidence that an activity such as musical engagement can positively contribute to one’s living a flourishing life. I’m of the belief that psychological research can and should be used, not only to identify and diagnose maladaptive psychological states, but identify and promote adaptive psychological states as well. In this article I advance the hypothesis and provide supporting evidence for the claim that musical engagement can positively contribute to one’s living a flourishing life. Since there has not yet been a substantive and up-to-date investigation of the possible role of music in contributing to one’s living a flourishing life, the purpose of this article is to conduct this investigation, thereby bridging the gap and stimulating discussion between the psychology of music and the psychology of wellbeing. (shrink)

Before one can talk about global arrays and multimodal detection, one must be clear about the concept of information: How is it different from energy and how is it detected? And can it come to specify a needed movement? We consider these issues in our commentary.

MICHAEL WHEELER Cambridge, MA: MIT Press, 2005432 pages, ISBN: 0262232405 (hbk); $35.001.When I was teaching at MIT in the 1960s, students from the Artificial Intelligence Laboratory would come to...

The recently celebrated division into ‘easy’ and ‘hard’ problems of consciousness is unfortunate and misleading. Built on functionalist grounds, it carves up the subject matter by declaring that the most elusive parts need a fundamentally and intrinsically different solution. What we have, rather, are ‘difficult’ problems of conscious experience, but problems that are not difficult per se. Their difficulty is relative, among other things, to the kind of solution one is looking for and the tools used to accomplish the task. (...) I argue that the study of conscious experience in our scientific and philosophical tradition is a very difficult problem because it has been addressed with inappropriate tools: with harmful long-lasting and inadequate dogmas that have dogged science for centuries. I describe five of these dogmas, which are: the existence of an objective reality independent of human understanding; the subordination of epistemology to ontology; the restricted view of the objectivist-subjectivist dichotomy; the exclusion of the body from the study of the mind; and the idea of explaining the mind in terms of the neurophysiological processes of individual brains. I claim that conscious experience is not a transcendental, paranatural, mystic or magic phenomenon. It is tractable and approachable with scientific methods. However, one must look not only for non-reductionist views to approach it, but also for views that avoid the dogmas here described. Conscious experience is a living phenomenon and it has to be understood as such. Accordingly, our understanding of it has to make sense at several levels, from evolution to morphophysiology, from neuroanatomy to language. I put forward an approach to conscious experience which is free of the dogmas that make the study of conscious experience so difficult. This view, called ecological naturalism, is a non-functionalist and non-reductive view that provides an naturalistic account of the mind. It also puts special emphasis on irreducible supra-individual biological processes that are essential in the realization of mental phenomena and therefore conscious experience. (shrink)

John Bickle's new book on philosophy and neuroscience is aptly subtitled 'a ruthlessly reductive account'. His 'new wave metascience' is a massive attack on the relative autonomy that psychology enjoyed until recently, and goes even beyond his previous (Bickle, J. (1998). Psychoneural reduction: The new wave. Cambridge, MA: MIT Press.) new wave reductionsism. Reduction of functional psychology to (cognitive) neuroscience is no longer ruthless enough; we should now look rather to cellular or molecular neuroscience at the lowest possible level for (...) explanations of memory, consciousness and attention. Bickle presents a fascinating set of experimental cases of such molecule-to-mind explanations. This book qualifies as a showcase of naturalism in the philosophy of mind. Naturally, many of the traditional conceptual approaches in the philosophy of mind are given short shrift, but - in Bickle's metascientific scheme - the role of philosophy of science also seems reduced to explicating laboratory findings. The present reviewers think that this reductionism suffers from overstretching; in particular, the idea of 'explanation in a single bound' from molecule to mind is a bit too ruthless. Still, Bickle's arguments are worth serious attention. (shrink)

Interdisciplinary efforts from developmental psychology, phenomenology, and philosophy of mind, have studied the rudiments of social cognition and conceptualized distinct forms of intersubjective communication and interaction at human early life.Interaction theoristsconsiderprimary intersubjectivitya non-mentalist, pre-theoretical, non-conceptual sort of processes that ground a certain level of communication and understanding, and provide support to higher-level cognitive skills. We argue the study of human/neurorobot interaction consists in a unique opportunity to deepen understanding of underlying mechanisms in social cognition through synthetic modeling, while allowing to (...) examine a second person experiential (2PP) access to intersubjectivity in embodied dyadic interaction. Concretely, we propose the study of primary intersubjectivity as a 2PP experience characterized by predictive engagement, where perception, cognition, and action are accounted for an hermeneutic circle in dyadic interaction. From our interpretation of the concept ofactive inferenceinfree-energy principletheory, we propose an open-source methodology namedneural robotics library(NRL) for experimental human/neurorobot interaction, wherein a demonstration program namedvirtual Cartesian robot(VCBot) provides an opportunity to experience the aforementioned embodied interaction to general audiences. Lastly, through a study case, we discuss some ways human-robot primary intersubjectivity can contribute to cognitive science research, such as to the fields of developmental psychology, educational technology, and cognitive rehabilitation. (shrink)

Synchrony — intentional, rhythmic motor entrainment in groups — is an important topic in social psychology and the cognitive science of religion. Synchrony has been found to increase trust and prosociality, to index interpersonal attention, and to induce perceptions of similarity and group cohesion. Causal explanations suggest that synchrony induces neurocognitive self-other blurring, leading participants to process one another as identical. In light of such findings, researchers have highlighted synchrony as an important evolved tool for establishing and maintaining collective identity (...) in human groups, particularly within ritual and religious contexts. However, many aspects of group life require coordination rather than mere prosocial cooperation. In coordinative contexts, interpersonal relations and motor sequences are often complementary rather than identical, and leadership hierarchies streamline group decisions. It is thus unclear whether synchrony would benefit or hamper group outcomes in contexts requiring complex interdependent coordination and hierarchy. In a two-condition experimental paradigm, we tested the effects of synchrony on the outcomes of a three-person, complex verbal coordination task. Groups in the synchrony condition performed more poorly on the coordination exercise and reported higher levels of conflict as well as lower levels of group cohesion and similarity. We interpret these results as indicating boundary conditions on the prosocial effects of synchrony: in settings that require complex, interdependent social coordination, the self-other blurring induced by synchrony is situationally inappropriate. These findings dovetail with the anthropological observation that real-world ritual is often focused on establishing and reinforcing social distinctions rather than social unison. (shrink)

It is a standard understanding that we live in time. In fact, the whole physical world as described in sciences is based on the idea of objective time. For centuries, we have defined time ever so minutely, basing them on finer and finer event measurements that we do not even notice that we have made an inductive leap when it comes to time—we can measure time, so we experience time. In the current work, I wish to critique this inductive leap (...) and examine what it means to experience time. We are embodied and embedded cognitive agents, constrained by our body as well as in continuous interaction with our environment. So another way to ask the question of temporal experience would be—how embodied is time? I posit that experience of time spoken of in general literature is a linguistic construct, in that, the idea of experience of time overshadows the actual phenomenal contents of time perception. Moreover, time perception itself comes from a post-facto judgment of events. It has also been observed that the order of events in time can be altered to create an illusion of violation of causality itself. This points to the possibility that events are arranged in a temporal map that can be read off by higher cognitive substrates. In the current work, we go on to explore the nature of such a map as it emerges from an embodied mind. (shrink)

A theory of representation is incomplete if it states “representations areX” whereXcan be symbols, cell assemblies, functional states, or the flock of birds fromTheaetetus, without explaining the nature of the link between the universe ofXs and the world. Amit's thesis, equating representations with reverberations in Hebbian cell assemblies, will only be considered a solution to the problem of representation when it is complemented by a theory of how a reverberation in the brain can be a representation of anything.

Amit's “Attractor Neural Network” perspective on cognition raises difficult technical problems already met by prior dynamical models. This commentary sketches briefly some of them concerning the internal topological structure of attractors, the constituency problem, the possibility of activating simultaneously several attractors, and the different kinds of dynamical structures one can use to model brain activity: point attractors, strange attractors, synchronized arrays of oscillators, synfire chains, and so forth.

Persistent activity can be the product of mechanisms other than attractor reverberations. The single-unit data presented by Amit cannot discriminate between the different mechanisms. In fact, single-unit data do not appear to be adequate for testing neural network models.

Our model integrates the nativist assumption of prespecified neural structures underpinning basic emotions with the constructionist view that emotions are assembled from psychological constituents. From a dynamic systems perspective, the nervous system self-organizes in different ways at different time scales, in relation to functions served by emotions. At the evolutionary scale, brain parts and their connections are specified by selective pressures. At the scale of development, connectivity is revised through synaptic shaping. At the scale of real time, temporary networks of (...) synchronized activity mediate responses to situations. To the degree that humans share common emotional functions, neural structuration is similar across scales, giving rise to “basic” emotions. However, unique developmental and situational factors select for neural configurations mediating emotional variants. (shrink)

The unification of microscopic and macroscopic models of brain behaviour is of paramount importance and Wright & Liley's target article provides some important groundwork. In this commentary, I propose that a useful approach for the future is to incorporate a developmental perspective into such models. This may be an important constraint, providing a key to understanding the nature of macroscopic measures of brain function such as functional measures like ERP.

The concept of an attractor in a mathematical dynamical system is reviewed. Emphasis is placed on the distinction between a cell assembly, the corresponding attractor, and the attractor dynamics. The biological significance of these entities is discussed, especially the question of whether the representation of the stimulus requires the full attractor dynamics, or merely the cell assembly as a set of reverberating neurons. Comparison is made to Freeman's study of dynamic patterns in olfaction.

(1997). The dynamical mind: Process and the collective unconscious. World Futures: Vol. 48, The Concept of Collective Consiousness: Research Perspectives, pp. 127-139.

I have two goals in this paper. First, I want to show by example that inferences about theoretical entities are relatively contingent affairs. Previously accepted conceptual metaphors in science set both the general form of new theories and our acceptance of the theories as plausible. In addition, they determine how we define the relevant parameters in investigating phenomena in the first place. These items then determine how we conceptualize things in the world. Second, and maybe more importantly, I want to (...) solve a puzzle that falls out of our current explication of attention, namely why we have it. Given the now widely accepted view that our brains are massively parallel, it is difficult to see why we should have evolved attentional mechanisms at all. Why gate when we can already process what we transduce in parallel? Here I answer that puzzle and suggest a perspective on attention that makes it a bit easier to understand, although this perspective also entails that we have to revise how we individuate experimental protocols and relevant data. (shrink)

Event-related potentials (ERPs) – neglected almost entirely by Wright & Liley – allow objective investigation of information processing in the brain. The application of chaos theory to such an analysis broadens this possibility. Through the use of the point correlation dimension (PD2) accurate dimensional analysis of different Event-Related Potential components such as the P3 wave is possible.

Multiscale dynamics, linear approximations, global boundary conditions, experimental verification, and global influences on local cell assemblies are considered in the context of Wright & Liley's work. W&L provide a nice introduction to these issues and a reasonable simulation of intermediate scale dynamics, but the model does not adequately simulate combined local and global processes.

Although this is an impressive piece of modeling work, I worry that the two models that Wright & Liley have created do not yet provide us with useful empirical information regarding brain processing.

Further tests of Amit's model are indicated. One strategy is to use the apparent coding sparseness of the model to make predictions about coding sparseness in Miyashita's network. A second approach is to use memory overload to induce false positive responses in modules and biological systems. In closing, the importance of temporal coding and timing requirements in developing biologically plausible attractor networks is mentioned.

Hebbian cell-assembly theory and attractor networks are good starting points for modeling cortical processing. Detailed cell models can be useful in understanding the dynamics of attractor networks. Cell assemblies are likely to be distributed, with the cortical column as the local processing unit. Synaptic memory may be dominant in all but the first couple of seconds.

Amit's efforts to provide stronger theoretical and empirical support for Hebb's cell-assembly concept is admirable, but we have serious reservations about the perspective presented in the target article. For Hebb, the cell assembly was a building block; by contrast, the framework proposed here eschews the need to fit the assembly into a broader picture of its function.

This paper proposes that human expression of pain in the presence or absence of caregivers, and the detection of pain by observers, arises from evolved propensities. The function of pain is to demand attention and prioritise escape, recovery, and healing; where others can help achieve these goals, effective communication of pain is required. Evidence is reviewed of a distinct and specific facial expression of pain from infancy to old age, consistent across stimuli, and recognizable as pain by observers. Voluntary control (...) over amplitude is incomplete, and observers can better detect pain that the individual attempts to suppress rather than amplify or simulate. In many clinical and experimental settings, the facial expression of pain is incorporated with verbal and nonverbal vocal activity, posture, and movement in an overall category of pain behaviour. This is assumed by clinicians to be under operant control of social contingencies such as sympathy, caregiving, and practical help; thus, strong facial expression is presumed to constitute an attempt to manipulate these contingencies by amplification of the normal expression. Operant formulations support skepticism about the presence or extent of pain, judgments of malingering, and sometimes the withholding of caregiving and help. To the extent that pain expression is influenced by environmental contingencies, however, could equally plausibly constitute the release of suppression according to evolved contingent propensities that guide behaviour. Pain has been largely neglected in the evolutionary literature and the literature on expression of emotion, but an evolutionary account can generate improved assessment of pain and reactions to it. (shrink)

The temporal orientations of any sociocultural grouping are major factors comprising its central identity. The manner in which the past (memories), the present (perception), and the future (anticipation/expectation) are commonly articulated also concern cultural identity. The identity of a cultural group is altered by developmental changes in time keeping and related objective, scientific temporalities.Three modes of temporality, objective, narrative, and transcendental, congruent with different kinds of brain processes, are common throughout our planet. Objective temporality tends to alter and replace traditional (...) narrative and transcendental (spiritual) time, timing, and tempos. Objective temporality is concerned with what is transitory, modern and “progressive”. Objective time is not a traditional form of cultural time; it is a derived Westernized scientific imposition, rather than any cultural formation. This essay develops a new conception of how semiosis occurs. All information is essentially rhythmic, transduced through sensory systems as signals in a space-time domain, but deposited for use into a spectral thermodynamic domain in the human cortex.A “chronemic” perspective, (temporality as it is based in semiotic processes related to human communication) is assumed throughout. Such a perspective appears to be somewhat novel in both communication and semiotic studies. (shrink)

The network model of EEG formation has revealed a unified mechanism for disparate EEG phenomena: for various reactions as well as for ontogenetic and phylogenetic differences. EEG rhythmicity was shown to be an external manifestation of the functioning of the intracortical stabilizing system which provides normal informational operations in the cerebral cortex.

Amit argues that the local neuronal spike rate that persists (reverberating) in the absence of the eliciting stimulus represents the code of the eliciting stimulus. Based on the general argument that the inferred functional meaning of reverberation depends in part on the type of representational assumptions, reverberations may only be important for the encoding of contextual information.

Some concepts relating to learned, structured functioning of local modules in neocortex are clarified in order to ensure that the integration from the small scale to the global attempted by Wright & Liley does not miss the target.

Evidence suggests that humans might have neurological specializations for music processing, but a compelling adaptationist account of music and dance is lacking. The sexual selection hypothesis cannot easily account for the widespread performance of music and dance in groups (especially synchronized performances), and the social bonding hypothesis has severe theoretical difficulties. Humans are unique among the primates in their ability to form cooperative alliances between groups in the absence of consanguineal ties. We propose that this unique form of social organization (...) is predicated on music and dance. Music and dance may have evolved as a coalition signaling system that could, among other things, credibly communicate coalition quality, thus permitting meaningful cooperative relationships between groups. This capability may have evolved from coordinated territorial defense signals that are common in many social species, including chimpanzees. We present a study in which manipulation of music synchrony significantly altered subjects’ perceptions of music quality, and in which subjects’ perceptions of music quality were correlated with their perceptions of coalition quality, supporting our hypothesis. Our hypothesis also has implications for the evolution of psychological mechanisms underlying cultural production in other domains such as food preparation, clothing and body decoration, storytelling and ritual, and tools and other artifacts. (shrink)

Wright & Liley contrast their theory that the global dynamics of the EEG are linear with that of Freeman, who hypothesizes an EEG governed by (nonlinear) deterministic-chaotic dynamics. A “call for further discussion” on the part of the authors is made as to how either theory fits with experimental findings indicating that EEG dynamics are non-linear but stochastic.

Two hypotheses concerning nonlinear elements in complex systems are contrasted: that neurons, intrinsically unstable, are stabilized through embedding in networks and populations; and, conversely, that cortical neurons are intrinsically stable, but are destabilized through embedding in cortical populations and corticostriatal feedback systems. Tests are made by piecewise linearization of nonlinear dynamics at nonequilibriumoperating points, followed by linear stability analysis.

To model the organization of levels' of cortical dynamics, at least some general scheme for hierarchy, functional diversity, and proper intrinsic control must be provided. Rhythmic control forces the system to iterate its state by short trajectories, which makes it much more stable and predictable without discarding the desirable ability of chaotic systems to make rapid phase transitions. Rhythmic control provides a fundamentally different systems dynamics, one not provided by models that allow the emergence of continuous trajectories in the systems (...) state space. (shrink)

Amit's Hebbian model risks being overexplanatory, since it does not depend on specific physiological modelling of cortical ANNs, but concentrates on those phenomena which are modelled by a large class of ANNs. While offering a strong demonstration of the presence of Hebb's “cell assemblies,” it does not offer an equal account of Hebb's “phase sequence” concept.

Biological understanding of human cognitive functions is incomplete because of failure to understand the evolution of complex functions and organisms in general. Here, that failure is attributed to an aspect of the standard neo-Darwinian synthesis, namely commitment to evolution by natural selection of genetic programs in stable environments, a position that cannot easily explain the evolution of complexity. When we turn to consider more realistic, highly changeable environments, however, another possibility becomes clearer. An alternative to genetic programs—dubbed “biogrammars”—is proposed here (...) to deal with complex, changing environments and explain evolving complexity from pre-genetic life to human socio-cognitive functions. (shrink)

Some dichotomies related to modeling electrocortical activities are analyzed. Attractor neural networks versus biologically motivated models, near-equilibrium versus nonequilibrium processes, linear and nonlinear dynamics, stochastic and chaotic patterns, local and global scale simulation of cortical activities are discussed.

Cortical reverberations may induce synaptic changes that underlie developmental plasticity as well as long-term memory. They may be especially important for the consolidation of synaptic changes. Reverberations in cortical networks should have particular significance during development, when large numbers of new representations are formed. This includes the formation of representations across different sensory modalities.

Hebbian mechanisms are justified according to their functional utility in an evolutionary sense. The selective advantage of correlating content-contingent stimuli reflects the putative common cause of temporally or spatially contiguous inputs. The selective consequences of such correlations are discussed by using examples from the evolution of signal form in sexual selection and model-mimic coevolution. We suggest that evolutionary justification might be considered in addition to neurophysiology plansibility when constructing representational models.

We outline fresh findings that show that our macroscopic electrocorticographic (ECoG) simulations can account for synchronous multiunit pulse oscillations at separate, simultaneously activated cortical sites and the associated gamma-band ECoG activity. We clarify our views on the approximations of dynamic class applicable to neural events at macroscopic and microscopic scales, and the analogies drawn to classes of ANN behaviour. We accept the need to introduce memory processes and detailed anatomical and physiological information into any future developments of our simulations. On (...) the issue of intrinsic cortical stability and the role of extrinsic fibre systems in maintaining stability, we argue that this position is not in extreme contradiction to those of our commentators, and that the mechanisms implicit in our simulations' properties imply rich computational possibilities. We discuss some of the reasons for and against the existence of significant global resonances in the brain and explain why such behaviour appears absent in our simulations. Last, we discuss other phenomena, such as rhythmic driving of the cortex, which have not yet been introduced into our models, and indicate lines for future development of the simulations. (shrink)