Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity
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- 作者：Kitano ; Katsunori ; Câ ; teau ; Hideyuki ; Fukai ; Tomoki
- 关键词：Long-term potentiation/depression ; Sustained activity ; Working memory ; Synfire chain ; Computational model
- 刊名：Neurocomputing
- 出版年：2002
- 出版时间：June, 2002
- 年：2002
- 卷：44-46
- 期：Complete
- 页码：473-478
- 全文大小：361 K
文摘
In order to study roles of spike-timing-dependent plasticity (STDP) at the network level, we applied STDP to a model of the cortical recurrent network. We found that STDP brought self-organization of a bistable neural activity that is essential for the working memory function. Furthermore, our simulations showed that the typical two firing patterns during the persistent activity were achieved, which depend on the time window of STDP; the short time window (
10ms) yielded an asynchronous firing activity, whereas the longer one (≥20ms) produced a synchronous spike packet propagating along a chain of cell assemblies.
10ms) yielded an asynchronous firing activity, whereas the longer one (≥20ms) produced a synchronous spike packet propagating along a chain of cell assemblies.