Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1997-03-23
J. Phys. Soc. Jpn. 66 (1997) 572 - 575
Physics
Condensed Matter
Disordered Systems and Neural Networks
8 pages , LaTeX file, 4 figures included
Scientific paper
10.1143/JPSJ.66.572
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.
Aizawa Yoji
Tatsuno M.
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