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  Bridging the gap between neurons and cognition through assemblies of neurons

Papadimitriou, C. H., & Friederici, A. D. (2022). Bridging the gap between neurons and cognition through assemblies of neurons. Neural Computation, 34(2), 291-306. doi:10.1162/neco_a_01463.

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Papadimitriou_2022.pdf (Publisher version), 392KB
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 Creators:
Papadimitriou, Christos H.1, Author
Friederici, Angela D.2, Author              
Affiliations:
1Columbia University in the City of New York, NY, USA, ou_persistent22              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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 Abstract: During recent decades, our understanding of the brain has advanced dramatically at both the cellular and molecular levels and at the cognitive neurofunctional level; however, a huge gap remains between the microlevel of physiology and the macrolevel of cognition. We propose that computational models based on assemblies of neurons can serve as a blueprint for bridging these two scales. We discuss recently developed computational models of assemblies that have been demonstrated to mediate higher cognitive functions such as the processing of simple sentences, to be realistically realizable by neural activity, and to possess general computational power.

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Language(s): eng - English
 Dates: 2021-04-262021-09-022022-01-142022-02
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
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 Identifiers: DOI: 10.1162/neco_a_01463
PMID: 34915560
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Grant ID : CCF1763970; CCF1910700
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Funding organization : National Science Foundation
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Grant ID : FR519/22-1
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Funding organization : Deutsche Forschungsgemeinschaft (DFG)

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Title: Neural Computation
Source Genre: Journal
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Publ. Info: Cambridge, Mass. : MIT Press
Pages: - Volume / Issue: 34 (2) Sequence Number: - Start / End Page: 291 - 306 Identifier: ISSN: 0899-7667
CoNE: https://pure.mpg.de/cone/journals/resource/954925561591