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Cognition and Consciousness Entwined.

Peter Grindrod, Martin Brennan

Brain Sciences May 28, 2023 DOI: 10.3390/brainsci13060872 (opens in new tab) via PubMed

Summary

AI-generated from the abstract

Cognition and internal phenomenological sensations, including emotions, are inseparable. These sensations arise as dynamical "modes" of firing behavior that exist over time across large cortical neuron networks, resulting from network-of-networks architecture, coupling of individual neuronal dynamics, and time delays in neuron-to-neuron transmission. Incoming stimuli create competitive modes that suppress one another, and any present mode acts as a preconditioner for immediate cognitive processing, reducing the decision set and cognitive load. This provides an evolutionary advantage, explaining "thinking fast, thinking slow." The entwinement hypothesis describes how latent conscious phenomena arise from cognitive processing load dynamics and precondition subsequent tasks. These modes, candidates for emotions down to single qualia, can be observed via reverse engineering simulations using supercomputers or generalized Kuramoto models.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Ai Architecture Delay dynamics Modes Non-binary chips
Key finding Proposes that internal phenomenological sensations are dynamical modes of neuronal firing that arise from network architecture and time delays, and that these modes precondition cognitive processing, reducing cognitive load and providing an evolutionary advantage.

Abstract

We argue that cognition (information processing) and internal phenomenological sensations, including emotions, are intimately related and are not separable. We aver that phenomenological sensations are dynamical "modes" of firing behaviour that (i) exist over time and over large parts of the cortex's neuron-to-neuron network and (ii) are consequences of the network-of-networks architecture, coupling the individual neuronal dynamics and the necessary time delay incurred by neuron-to-neuron transmission: if you possess those system properties, then you will have the dynamical modes and, thus, the phenomenological sensations. These modes are consequences of incoming external stimuli and are competitive within the system, suppressing and locking-out one another. On the other hand, the presence of any such mode acts as a preconditioner for the immediate (dynamic) cognitive processing of information. Thus, internal phenomenological sensations, including emotions, reduce the immediate decision set (of feasible interpretations) and hence the cognitive load. For organisms with such a mental inner life, there would clearly be a large cognitive evolutionary advantage, resulting in the well-known "thinking fast, thinking slow" phenomena. We call this the entwinement hypothesis: how latent conscious phenomena arise from the dynamics of the cognitive processing load, and how these precondition the cognitive tasks immediately following. We discuss how internal dynamical modes, which are candidates for emotions down to single qualia, can be observed by reverse engineering large sets of simulations of system's stimulated responses, either using vast supercomputers (with full 10B neuronal network analyses) or else using laptops to do the same for appropriately generalised Kuramoto models (networks of k-dimensional clocks, each representing the 10,000 neurons within a single neural column). We explain why such simplifications are appropriate. We also discuss the consequent cognitive advantages for information-processing systems exhibiting internal sensations and the exciting implications for next-generation (non-binary) computation and for AI.

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