Unveiling the metric structure of internal representations of space

How are neuronal representations of space organized in the hippocampus? The self-organization of such representations, thought to be driven in the CA3 network by the strong randomizing input from the Dentate Gyrus, appears to run against preserving the topology and even less the exact metricity of p...

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Main Authors: Federico eStella, Erika eCerasti, Alessandro eTreves
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-04-01
Series:Frontiers in Neural Circuits
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncir.2013.00081/full
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author Federico eStella
Erika eCerasti
Alessandro eTreves
author_facet Federico eStella
Erika eCerasti
Alessandro eTreves
author_sort Federico eStella
collection DOAJ
description How are neuronal representations of space organized in the hippocampus? The self-organization of such representations, thought to be driven in the CA3 network by the strong randomizing input from the Dentate Gyrus, appears to run against preserving the topology and even less the exact metricity of physical space. We present a to assess this issue quantitatively, and find that in a simple neural network model of CA3, the average topology is largely preserved, but the local metricity only to a very limited extent.
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spelling doaj.art-86cdeb828c294249b7b8631aa64565232022-12-21T19:53:06ZengFrontiers Media S.A.Frontiers in Neural Circuits1662-51102013-04-01710.3389/fncir.2013.0008142102Unveiling the metric structure of internal representations of spaceFederico eStella0Erika eCerasti1Alessandro eTreves2SISSAUniversità “La Sapienza”SISSAHow are neuronal representations of space organized in the hippocampus? The self-organization of such representations, thought to be driven in the CA3 network by the strong randomizing input from the Dentate Gyrus, appears to run against preserving the topology and even less the exact metricity of physical space. We present a to assess this issue quantitatively, and find that in a simple neural network model of CA3, the average topology is largely preserved, but the local metricity only to a very limited extent.http://journal.frontiersin.org/Journal/10.3389/fncir.2013.00081/fullInformation TheoryNeural NetworkDecodingCA3Place Cellsspatial representations
spellingShingle Federico eStella
Erika eCerasti
Alessandro eTreves
Unveiling the metric structure of internal representations of space
Frontiers in Neural Circuits
Information Theory
Neural Network
Decoding
CA3
Place Cells
spatial representations
title Unveiling the metric structure of internal representations of space
title_full Unveiling the metric structure of internal representations of space
title_fullStr Unveiling the metric structure of internal representations of space
title_full_unstemmed Unveiling the metric structure of internal representations of space
title_short Unveiling the metric structure of internal representations of space
title_sort unveiling the metric structure of internal representations of space
topic Information Theory
Neural Network
Decoding
CA3
Place Cells
spatial representations
url http://journal.frontiersin.org/Journal/10.3389/fncir.2013.00081/full
work_keys_str_mv AT federicoestella unveilingthemetricstructureofinternalrepresentationsofspace
AT erikaecerasti unveilingthemetricstructureofinternalrepresentationsofspace
AT alessandroetreves unveilingthemetricstructureofinternalrepresentationsofspace