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Cognition and Consciousness Entwined.

Peter Grindrod1, Martin Brennan1

  • 1Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK.

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|June 28, 2023
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Summary
This summary is machine-generated.

Cognition and phenomenological sensations, like emotions, are inseparable. These sensations are dynamical modes of neural firing that influence cognitive processing, offering evolutionary advantages and impacting AI development.

Keywords:
AIarchitecturedelay dynamicsmodesnon-binary chipsphenomenological sensationspreconditioningsimulations

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Cognition and phenomenological sensations, including emotions, are often studied separately.
  • The precise relationship between neural dynamics and subjective experience remains a key question in neuroscience.

Purpose of the Study:

  • To propose the "entwinement hypothesis" linking cognitive processing load and latent conscious phenomena.
  • To explore how phenomenological sensations arise from neural network dynamics and influence information processing.

Main Methods:

  • Analyzing large-scale simulations of neural network responses.
  • Utilizing generalized Kuramoto models for computational efficiency.
  • Reverse engineering system dynamics to identify candidate dynamical modes for sensations.

Main Results:

  • Phenomenological sensations are dynamical firing modes within the cortex's network-of-networks architecture.
  • These modes arise from neural dynamics, time delays, and external stimuli, influencing cognitive processing by reducing decision sets.
  • The presence of internal sensations confers a cognitive evolutionary advantage, akin to "thinking fast, thinking slow."

Conclusions:

  • Cognition and internal sensations are intrinsically entwinded, not separable.
  • Internal sensations precondition immediate cognitive tasks, reducing cognitive load and decision complexity.
  • The findings have implications for understanding consciousness, computation, and artificial intelligence.