title: Unveiling the metric structure of internal representations of space.
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.
authors: Neuroscience, SISSA Trieste, Italy.
authors: Federico
authors: F
authors: Stella
authors: Erika
authors: E
authors: Cerasti
authors: Alessandro
authors: A
authors: Treves
mesh_terms: D000818:Animals; D056654:CA3 Region, Hippocampal / Q000502:physiology; D016571:Neural Networks, Computer; D009473:Neuronal Plasticity / Q000502:physiology; D011897:Random Allocation; D051381:Rats; D013037:Spatial Behavior / Q000502:physiology
keywords: CA3; decoding; information theory; metric space; neural network; place cells; spatial representations
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