Dynamic Computation in Visual Thalamocortical Networks
AbstractContemporary 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. View Full-Text
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Moyal, R.; Edelman, S. Dynamic Computation in Visual Thalamocortical Networks. Entropy 2019, 21, 500.
Moyal R, Edelman S. Dynamic Computation in Visual Thalamocortical Networks. Entropy. 2019; 21(5):500.Chicago/Turabian Style
Moyal, Roy; Edelman, Shimon. 2019. "Dynamic Computation in Visual Thalamocortical Networks." Entropy 21, no. 5: 500.
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