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 metric of physical space. We present a way 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 metric is loose, retaining e.g. 10% of the optimal spatial resolution.

Unveiling the metric structure of internal representations of space

Stella, Federico;Cerasti, Erika;Treves, Alessandro
2013-01-01

Abstract

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 metric of physical space. We present a way 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 metric is loose, retaining e.g. 10% of the optimal spatial resolution.
2013
7
April
1
11
81
10.3389/fncir.2013.00081
http://europepmc.org/articles/PMC3636501
Stella, Federico; Cerasti, Erika; Treves, Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/11691
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