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Review

Dynamic Computation in Visual Thalamocortical Networks

Department of Psychology, Cornell University, Ithaca, NY 14853, USA
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Author to whom correspondence should be addressed.
Entropy 2019, 21(5), 500; https://doi.org/10.3390/e21050500
Submission received: 13 March 2019 / Revised: 10 May 2019 / Accepted: 14 May 2019 / Published: 16 May 2019
(This article belongs to the Special Issue Integrated Information Theory)

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.
Keywords: vision; metastable; oscillations; pulvinar; awareness; coherence; phase; representational spaces vision; metastable; oscillations; pulvinar; awareness; coherence; phase; representational spaces

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MDPI and ACS Style

Moyal, R.; Edelman, S. Dynamic Computation in Visual Thalamocortical Networks. Entropy 2019, 21, 500. https://doi.org/10.3390/e21050500

AMA Style

Moyal R, Edelman S. Dynamic Computation in Visual Thalamocortical Networks. Entropy. 2019; 21(5):500. https://doi.org/10.3390/e21050500

Chicago/Turabian Style

Moyal, Roy, and Shimon Edelman. 2019. "Dynamic Computation in Visual Thalamocortical Networks" Entropy 21, no. 5: 500. https://doi.org/10.3390/e21050500

APA Style

Moyal, R., & Edelman, S. (2019). Dynamic Computation in Visual Thalamocortical Networks. Entropy, 21(5), 500. https://doi.org/10.3390/e21050500

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