Dynamic Computation in Visual Thalamocortical Networks.
Entropy (Basel, Switzerland) May 16, 2019 DOI: 10.3390/e21050500 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Review Peer reviewed |
|---|---|
| Keywords | Awareness Coherence Metastable Oscillations Phase Pulvinar Representational spaces Vision |
| Key findings | The authors propose that the brain approximates symbolic computation through transitions between metastable attractive states, and that coherent, nested oscillations in thalamocortical networks facilitate information representation and transmission. They argue that the pulvinar contributes to biasing visual attention and awareness, and begin integrating this framework with existing theories of consciousness and cognition. |
Abstract
Contemporary neurodynamical frameworks, such as coordination dynamics and winnerless competition, posit that the brain approximates symbolic computation by transitioning between metastable attractive states. This article integrates these accounts with electrophysiological data suggesting that coherent, nested oscillations facilitate information representation and transmission in thalamocortical networks. We review the relationship between criticality, metastability, and representational capacity, outline existing methods for detecting metastable oscillatory patterns in neural time series data, and evaluate plausible spatiotemporal coding schemes based on phase alignment. We then survey the circuitry and the mechanisms underlying the generation of coordinated alpha and gamma rhythms in the primate visual system, with particular emphasis on the pulvinar and its role in biasing visual attention and awareness. To conclude the review, we begin to integrate this perspective with longstanding theories of consciousness and cognition.
Citations in the library
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