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)

A recently proposed model of sensory processing suggests that perceptual experience is updated in discrete steps. We show that the data advanced to support discrete perception are in fact compatible with a continuous account of perception. Physiological and psychophysical constraints, moreover, as well as our awake-primate imaging data, imply that human neuronal networks cannot support discrete updates of perceptual content at the maximal update rates consistent with phenomenology. A more comprehensive approach to understanding the physiology of perception (and experience at (...) large) is therefore called for, and we briefly outline our take on the problem. (shrink)

A computational theory of consciousness should include a quantitative measure of consciousness, or MoC, that (i) would reveal to what extent a given system is conscious, (ii) would make it possible to compare not only different systems, but also the same system at different times, and (iii) would be graded, because so is consciousness. However, unless its design is properly constrained, such an MoC gives rise to what we call the boundary problem: an MoC that labels a system as conscious (...) will do so for some – perhaps most – of its subsystems, as well as for irrelevantly extended systems (e.g., the original system augmented with physical appendages that contribute nothing to the properties supposedly supporting consciousness), and for aggregates of individually conscious systems (e.g., groups of people). This problem suggests that the properties that are being measured are epiphenomenal to consciousness, or else it implies a bizarre proliferation of minds. We propose that a solution to the boundary problem can be found by identifying properties that are intrinsic or systemic: properties that clearly differentiate between systems whose existence is a matter of fact, as opposed to those whose existence is a matter of interpretation (in the eye of the beholder). We argue that if a putative MoC can be shown to be systemic, this ipso facto resolves any associated boundary issues. As test cases, we analyze two recent theories of consciousness in light of our definitions: the Integrated Information Theory and the Geometric Theory of consciousness. (shrink)

To the extent that the performance of embodied and situated cognitive agents is predicated on fore- thought;such agents must remember; and learn from; the past to predict the future. In complex; non-stationaryenvironments; such learning is facilitated by an intrinsic motivation to seek novelty. A significant part of anagent’s identity is thus constituted by its remembered distilled cumulative life experience; which the agent isdriven to constantly expand. The combination of the drive to novelty with practical limits on memorycapacity posits a problem. (...) On the one hand; because novelty seekers are unhappy when bored; merelyreliving past positive experiences soon loses its appeal: happiness can only be attained sporadically; via anopen-ended pursuit of new experience. On the other hand; because the experiencer’s memory is finite;longevity and continued novelty; taken together; imply eventual loss of at least some of the stored content;and with it a disruption of the constructed identity. In this essay; I examine the biobehavioral and cognitive-computational circumstances that give rise to this problem and explore its implications for the humancondition. (shrink)

‘Naturalizing phenomenology’ by limiting it to the ontology of the sciences is problematic on both metaphysical and phenomenological grounds. While most assessments of the prospects for a ‘naturalized phenomenology’ have focused on approaches based in Husserlian transcendental phenomenology, problems also arise for non-reductive approaches based in Heideggerian existential phenomenology. ‘Heideggerian cognitive science’ faces a dilemma. On the one hand, if it is directly concerned with the nature of subjectivity, and this subjectivity is assumed to be ontologically irreducible to its physical (...) enablers yet still metaphysically dependent on them, then Heideggerian cognitive science will either leave that metaphysical dependence an unexplained instance of supervenience, or ground it in speculation about brute metaphysical laws that have an unclear relationship to the ontology of the sciences. On the other hand, if Heideggerian cognitive science is not directly concerned with the nature of subjectivity, but is instead merely aimed at the development of a Heideggerian phenomenological psychology, then it doesn’t fully address the ontological implications of phenomenology’s transcendental approach, and so, while it might succeed in explaining the realization of psychological phenomena scientifically, the existence of subjectivity will remain inexplicable based on the ontology of the sciences. Neither strategy succeeds in ‘naturalizing phenomenology’: either rejects scientific naturalism, or makes its requirements trivial, while either rejects the transcendental dimension of phenomenology, or fails to address its ontological implications. (shrink)