Can grid cell ensembles represent multiple spaces?
| Autor: | Davide Spalla, Alessandro Treves, Alexis Dubreuil, Rémi Monasson, Sophie Rosay |
|---|---|
| Přispěvatelé: | Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies (SISSA / ISAS), Laboratoire de physiologie cérébrale (LPC - UMR 8118), Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physique Statistique et Inférence pour la Biologie, Laboratoire de physique de l'ENS - ENS Paris (LPENS (UMR_8023)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Université Paris Diderot - Paris 7 (UPD7)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Université Paris Diderot - Paris 7 (UPD7), Monasson, Remi, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
saddle-point equations
Theoretical computer science Computer science Cognitive Neuroscience [SDV]Life Sciences [q-bio] Population ENCODE Space (mathematics) 01 natural sciences [PHYS.COND.CM-SM] Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech] 03 medical and health sciences 0302 clinical medicine Arts and Humanities (miscellaneous) storage capacity 0103 physical sciences Grid reference Feature (machine learning) Animals Entorhinal Cortex Grid Cells Computer Simulation [PHYS.COND.CM-SM]Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech] 010306 general physics education ComputingMilieux_MISCELLANEOUS 030304 developmental biology Hexagonal tiling 0303 health sciences education.field_of_study continuous attractor Grid cell cognitive map spatial memory Manifold [SDV] Life Sciences [q-bio] Settore M-PSI/02 - Psicobiologia e Psicologia Fisiologica Space Perception Metric (mathematics) Neural Networks Computer Nerve Net 030217 neurology & neurosurgery |
| Zdroj: | Neural Computation Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2019, 31 (12), pp.2324-2347. ⟨10.1162/neco_a_01237⟩ Neural Computation, 2019, 31 (12), pp.2324-2347. ⟨10.1162/neco_a_01237⟩ |
| ISSN: | 0899-7667 1530-888X |
| DOI: | 10.1101/527192 |
| Popis: | The way grid cells represent space in the rodent brain has been a striking discovery, with theoret-ical implications still unclear. Differently from hippocampal place cells, which are known to encode multiple, environment-dependent spatial maps, grid cells have been widely believed to encode space through a single low dimensional manifold, in which coactivity relations between different neurons are preserved when the environment is changed. Does it have to be so? Here, we compute - using two alternative mathematical models - the storage capacity of a population of grid-like units, em-bedded in a continuous attractor neural network, for multiple spatial maps. We show that distinct representations of multiple environments can coexist, as existing models for grid cells have the po-tential to express several sets of hexagonal grid patterns, challenging the view of a universal grid map. This suggests that a population of grid cells can encode multiple non-congruent metric rela-tionships, a feature that could in principle allow a grid-like code to represent environments with a variety of different geometries and possibly conceptual and cognitive spaces, which may be expected to entail such context-dependent metric relationships. |
| Databáze: | OpenAIRE |
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