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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-10-10
摘要
Dynamics of an interconnected 族群 of excitatory and inhibitory spiking neurons wandering around a Bogdanov-Takens (BT) 分岔 point can generate the observed 無標度 avalanches at the 族群 level and the highly variable spike patterns of individual neurons. These characteristics match experimental findings for spontaneous intrinsic activity in the 大腦. In this paper, we address the mechanisms causing the system to get and remain near this BT point. We propose an effective 隨機 神經 field model which captures the dynamics of the mean-field model. We show how the 網絡 tunes itself through local long-term synaptic plasticity by STDP and short-term synaptic depression to be close to this 分岔 point. The mesoscopic model that we derive matches the directed 滲流 model at the absorbing state 相變.
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