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The effects of theta precession on spatial learning and simplicial complex dynamics in a topological model of the hippocampal spatial map.

Learning arises through the activity of large ensembles of cells, yet most of the data neuroscientists accumulate is at the level of individual neurons; we need models that can bridge this gap. We have taken spatial learning as our starting point, computationally modeling the activity of place cells...

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Autori principali: Mamiko Arai, Vicky Brandt, Yuri Dabaghian
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science (PLoS) 2014-06-01
Serie:PLoS Computational Biology
Accesso online:http://europepmc.org/articles/PMC4063672?pdf=render
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