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Neural and perceptual manifolds regarded geometrically.

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Τίτλος: Neural and perceptual manifolds regarded geometrically.
Συγγραφείς: Westheimer G; Department of Neuroscience, University of California, Berkeley, CA, USA.; gwestheimer@berkeley.edu.
Πηγή: Journal of vision [J Vis] 2026 Oct 01; Vol. 26 (10), pp. 1.
Τύπος έκδοσης: Journal Article; Review
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Association for Research in Vision and Ophthalmology (ARVO) Country of Publication: United States NLM ID: 101147197 Publication Model: Print Cited Medium: Internet ISSN: 1534-7362 (Electronic) Linking ISSN: 15347362 NLM ISO Abbreviation: J Vis Subsets: MEDLINE
Imprint Name(s): Publication: <2002->: [Rockville, MD] : Association for Research in Vision and Ophthalmology (ARVO)
Original Publication: Charlottesville, VA : Scholar One, Inc., [2001]-
Ιατρικοί όροι (MeSH): Models, Neurological*, Learning/physiology ; Humans ; Animals
Περίληψη: Challenges face the neuroscientist when probing an organism's nervous system yields hundreds or thousands of simultaneous independently recorded signals. One way of dealing with this is to gather all n signals into a single point in an n-dimensional space, called the state of the nervous system. Structures created by the assembly of states formed by a coherent behavioral entity, such as the generalized sensing or perceiving of an object or the performing of a motor action, are called manifolds. Geometrical operations involving manifold properties have the potential of characterizing the neural organization underlying observed modules of behavior and predicting expected changes with learning or with the passage along streams of neural processing. Manifold analysis depends critically on the nature of the entered data and the match of the mathematical and computational tools applied to them.
Entry Date(s): Date Created: 20261001 Date Completed: 20261001 Latest Revision: 20261006
Update Code: 20261007
DOI: 10.1167/jov.26.10.1
PMID: 42820795
Βάση Δεδομένων: MEDLINE
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  Data: &lt;searchLink fieldCode=&quot;AU&quot; term=&quot;%22Westheimer+G%22&quot;&gt;Westheimer G&lt;/searchLink&gt;; Department of Neuroscience, University of California, Berkeley, CA, USA.; gwestheimer@berkeley.edu.
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  Data: Challenges face the neuroscientist when probing an organism&#39;s nervous system yields hundreds or thousands of simultaneous independently recorded signals. One way of dealing with this is to gather all n signals into a single point in an n-dimensional space, called the state of the nervous system. Structures created by the assembly of states formed by a coherent behavioral entity, such as the generalized sensing or perceiving of an object or the performing of a motor action, are called manifolds. Geometrical operations involving manifold properties have the potential of characterizing the neural organization underlying observed modules of behavior and predicting expected changes with learning or with the passage along streams of neural processing. Manifold analysis depends critically on the nature of the entered data and the match of the mathematical and computational tools applied to them.
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      – SubjectFull: Animals
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      – TitleFull: Neural and perceptual manifolds regarded geometrically.
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              Text: 2026 Oct 01
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