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Theory for Characterization of Hippocampal Long-Term Potentiation Induced by Time-Structured Stimuli

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arxiv cond-mat/9703197 v1 pith:FFSPV5J4 submitted 1997-03-23 cond-mat.dis-nn chao-dyncond-mat.stat-mechnlin.CDq-bio

M. Tatsuno , Y. Aizawa This is my paper · ORCID
classification cond-mat.dis-nnchao-dyncond-mat.stat-mechnlin.CDq-bio
keywords chaoticlong-termmodelneuronpotentiationstimulitime-structuredaccount
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We theoretically investigate long-term potentiation (LTP) in the hippocampus using a simple model of a neuron stimulated by three different time-structured input signals (regular, Markov, and chaotic). The synaptic efficacy change is described taking into account both N-methyl-D-aspartate (NMDA) and non-NMDA receptors. The experimental results are successfully explained by our neuron model, and the remarkable fact that the chaotic stimuli in the nonstationary regime produce the largest LTP is discussed.

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