期刊
FRONTIERS IN NEURAL CIRCUITS
卷 7, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fncir.2013.00081
关键词
spatial representations; place cells; CA3; decoding; neural network; information theory; metric space
资金
- EU SPACEBRAIN project
- EU GRIDMAP project
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.
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