Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:A4L-A
Session:
Number:A4L-A-1
The STDP with Fluctuations Agrees with the Changes and the Distributions of the Synaptic Weights
Takashi Matsubara, Kuniaki Uehara,
pp.217-220
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
The synaptic modifications play an important role in forming the neural network by following plasticity rules. However, the biologically observable distribution is far from the distribution derived by the spike-timing dependent plasticity (STDP), which is a well-known plasticity rule. This paper quantitatively examines the STDP rule combined with fluctuations, which is obtained from morphological observations, and demonstrates that it can derive various features of neural networks; the synaptic weight distributions, the changes in the synaptic weights, and the state dependence of the changes. This result contributes to revealing mechanism of development of neural networks.