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The cerebral cortex: A delay-coupled recurrent oscillator network?

Singer, W. (2021). The cerebral cortex: A delay-coupled recurrent oscillator network? In K. Nakajima, & I. Fischer (Eds.), Reservoir computing. Theory, physical implementations, and applications (pp. 3-28). Singapore: Springer Nature Singapore.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-151A-F Version Permalink: https://hdl.handle.net/21.11116/0000-000D-151B-E

Genre: Book Chapter

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Creators:
Singer, Wolf^{1, 2}, Author

Affiliations:
1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, ou_2074314
2Singer Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, DE, ou_3381220

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Free keywords: Recurrent networks Cerebral cortex Oscillations Non-linear dynamics Self-organization Binding problem

Abstract: The refinement of machine learning strategies and deep convolutional networks led to the development of artificial systems whose functions resemble those of natural brains, suggesting that the two systems share the same computational principles. In this chapter, evidence is reviewed which indicates that the computational operations of natural systems differ in some important aspects from those implemented in artificial systems. Natural processing architectures are characterized by recurrence and therefore exhibit high-dimensional, non-linear dynamics. Moreover, they use learning mechanisms that support self-organization. It is proposed that these properties allow for computations that are notoriously difficult to realize in artificial systems. Experimental evidence on the organization and function of the cerebral cortex is reviewed that supports this proposal.

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Language(s): eng - English

Dates: Date issued: 2021

Publication Status: Issued

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Identifiers: DOI: 10.1007/978-981-13-1687-6_1

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Title: Reservoir computing. Theory, physical implementations, and applications

Source Genre: Book

Creator(s):
Nakajima , Kohei, Editor
Fischer , Ingo, Editor

Affiliations:
-

Publ. Info: Singapore : Springer Nature Singapore

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3 - 28 Identifier: ISBN: 978-981-13-1686-9