Physics of mind: Experimental confirmations of theoretical predictions

Schoeller, Félix; Perlovsky, Leonid; Arseniev, Dmitry G.

doi:10.1016/j.plrev.2017.11.021

Cited by 53 publications

(50 citation statements)

References 90 publications

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“…the natural reflex that humans have to track and anticipate patterns in experience and the ability to generalize on the basis of observed redundancies (Schoeller, 2015b). Similarly to the original Aristotelian intuition (Perlovsky, 2006;Schoeller, 2019;Schoeller et al, 2018;Schoeller & Perlovsky, 2015), aesthetic emotions might be envisaged as promoters of the, specifically human, appetence for novelty for the seek of coherence and logical simplicity (Schoeller, 2015b) along the hierarchy of representations of the world, from low-level to more abstract cognitive models, up to, e.g., the meaning of life (Levine & Perlovsky, 2008;Perlovsky, 2006b;Schoeller, 2015b).…”

Section: Update Of Sensory Predictions and Associated Rewardsmentioning

confidence: 95%

“…Mathematically, the perception of beauty correlates with the derivative of the learning curve (i.e. the speed of learning, Schoeller et al, 2018), and emerges when the system reaches a local peak in the similarity between sensory inputs and representations of the world Schmidhuber, 2009;Schoeller et al, 2018). This corresponds to a decline in prediction errors after an initially arousing growth of them ( Figure 1A;…”

Section: Update Of Sensory Predictions and Associated Rewardsmentioning

confidence: 99%

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“Stopping for knowledge”: The sense of beauty in the perception-action cycle

Sarasso

Neppi-Mòdona

Sacco

et al. 2020

Neuroscience & Biobehavioral Reviews

108

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Section: Update Of Sensory Predictions and Associated Rewardsmentioning

confidence: 95%

Section: Update Of Sensory Predictions and Associated Rewardsmentioning

confidence: 99%

“Stopping for knowledge”: The sense of beauty in the perception-action cycle

Sarasso

Neppi-Mòdona

Sacco

et al. 2020

Neuroscience & Biobehavioral Reviews

108

View full text Add to dashboard Cite

show abstract

“…Of the five main personality traits -OCEAN (Openness, Conscientiousness, Extroversion, Agreeableness, and Neuroticism) -chills are very closely associated with Openness [53]. Previous studies on aesthetic chills demonstrate their modulatory effects on stress, pleasure, and social cognition [75]. Chills have been described as a physiological marker of salience [72], a self signalling mechanism allowing the cognitive system to orient its attentional resources toward evolutionary relevant stimuli [51].…”

Section: Motivationmentioning

confidence: 99%

Designing Interactions Beyond Conscious Control

Jain

Horowitz

Schoeller

et al. 2020

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Recent research in psychology distinguishes levels of consciousness into a tripartite model-conscious, unconscious and metaconscious. HCI technologies largely focus on the conscious pathway for computer-to-human interaction, requiring explicit user attention and action. In contrast, the other two pathways provide opportunities to create new interfaces that can alter emotion, cognition and behavior without demands on attentional resources. These direct interfaces connect to cognitive processes that are in our perception but outside our conscious control. In this work, we feature two sub-categories, namely preconscious and metasomatic within the tripartite model of consciousness. Our goal is to provide a finer categorization of cognitive processes that can better help classify HCI research related to activating non-conscious cognitive pathways. We present the design of two wearable devices, MoveU and Frisson. From lessons learned during the iterative design process and the user studies, we present four design considerations that can be used to aid HCI researchers of future devices that influence the mind. With this work we aim to highlight that awareness of consciousness levels can be a valuable design element that can help to expand the range of computer-to-human interface devices we build. CCS Concepts: • Human-centered computing → Interaction design theory, concepts and paradigms; HCI theory, concepts and models.

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“…The fact that the lattice is a partially ordered set (poset) endowed with a refinement relation is central; it means that there is an intrinsic hierarchy of informational structure, just as in the general model of physical cognition of Schoeller, Perlovsky, and Arseniev [123]. The other common interpretation of this poset hierarchical structure, probably equivalent to the previous one, is that the ordering of the lattice provides a multi-scale, coarse to fine analysis, and each rank of the lattice provides an information analysis at the corresponding organizational level, as already formalized and applied by Costa et al [124,125], who called it multiscale entropy in the context of time series. Hence, such formalism can be applied in the context of multiscale systems such as illustrated in [3] (in theory), and the entropy necessarily increases as more and more variables join, e.g.…”

Section: Information Topology Synthesis: Consciousness's Complexes Anmentioning

confidence: 99%

“…Moreover, the formalism highlights the fact that conscious experience, and also biological structures in general, correspond to discrete symmetries, to local energy minima, and to dynamical stochastic process. Considering the fact that symmetry could be a mathematical definition of aesthetics, which is historically a canonical definition, the formalism also further joins the model of physical cognition and that of dynamic logic by Schoeller, Perlovsky and Arseniev [123]: a Galoisian theory of e-motives or e-motions, a theory of ambiguity, "between crystal and smoke" [168], order and disorder, uncertainty and certainties (shared uncertainties) of the self and its environmental constitutive interactions.…”

Section: Information Topology Synthesis: Consciousness's Complexes Anmentioning

confidence: 99%

Elements of qualitative cognition: An information topology perspective

Baudot

2019

Physics of Life Reviews

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Elementary quantitative and qualitative aspects of consciousness are investigated conjointly from the biology, neuroscience, physic and mathematic point of view, by the mean of a theory written with Bennequin that derives and extends information theory within algebraic topology. Information structures, that accounts for statistical dependencies within n-body interacting systems are interpreted a la Leibniz as a monadic-panpsychic framework where consciousness is information and physical, and arise from collective interactions. The electrodynamic intrinsic nature of consciousness, sustained by an analogical code, is illustrated by standard neuroscience and psychophysic results. It accounts for the diversity of the learning mechanisms, including adaptive and homeostatic processes on multiple scales, and details their expression within information theory. The axiomatization and logic of cognition are rooted in measure theory expressed within a topos intrinsic probabilistic constructive logic. Information topology provides a synthesis of the main models of consciousness (Neural Assemblies, Integrated Information, Global Neuronal Workspace, Free Energy Principle) within a formal Gestalt theory, an expression of information structures and patterns in correspondence with Galois cohomology and discrete symmetries. The methods provide new formalization of deep neural network with homologicaly imposed architecture applied to challenges in AI-machine learning.

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Physics of mind: Experimental confirmations of theoretical predictions

Cited by 53 publications

References 90 publications

“Stopping for knowledge”: The sense of beauty in the perception-action cycle

“Stopping for knowledge”: The sense of beauty in the perception-action cycle

Designing Interactions Beyond Conscious Control

Elements of qualitative cognition: An information topology perspective

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