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Topological Maps and Brain Computations From Low to High
Sereno, Martin I.1; Sood, Mariam Reeny2; Huang, Ruey-Song3
2022-05-27
Source PublicationFrontiers in Systems Neuroscience
Volume16
Contribution Rank3
Abstract

We first briefly summarize data from microelectrode studies on visual maps in nonhuman primates and other mammals, and characterize differences among the features of the approximately topological maps in the three main sensory modalities. We then explore the almost 50% of human neocortex that contains straightforward topological visual, auditory, and somatomotor maps by presenting a new parcellation as well as a movie atlas of cortical area maps on the FreeSurfer average surface, fsaverage. Third, we review data on moveable map phenomena as well as a recent study showing that cortical activity during sensorimotor actions may involve spatially locally coherent traveling wave and bump activity. Finally, by analogy with remapping phenomena and sensorimotor activity, we speculate briefly on the testable possibility that coherent localized spatial activity patterns might be able to ‘escape’ from topologically mapped cortex during ‘serial assembly of content’ operations such as scene and language comprehension, to form composite ‘molecular’ patterns that can move across some cortical areas and possibly return to topologically mapped cortex to generate motor output there.

Indexed BySCIE
Language英語English
Document TypeJournal article
CollectionINSTITUTE OF COLLABORATIVE INNOVATION
Corresponding AuthorSereno, Martin I.
Affiliation1.San Diego State University
2.Birkbeck, University of London
3.University of Macau
Recommended Citation
GB/T 7714
Sereno, Martin I.,Sood, Mariam Reeny,Huang, Ruey-Song. Topological Maps and Brain Computations From Low to High[J]. Frontiers in Systems Neuroscience,2022,16.
APA Sereno, Martin I.,Sood, Mariam Reeny,&Huang, Ruey-Song.(2022).Topological Maps and Brain Computations From Low to High.Frontiers in Systems Neuroscience,16.
MLA Sereno, Martin I.,et al."Topological Maps and Brain Computations From Low to High".Frontiers in Systems Neuroscience 16(2022).
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