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論文資訊
- 類型：已發表論文
- 日期：2022-10-25
摘要
We investigate spontaneous critical dynamics of excitatory and inhibitory (EI) sparsely connected 族群s of spiking leaky integrate-and-fire neurons with conductance-based synapses. We use a bottom-up approach to derive a single neuron gain function and a linear Poisson neuron approximation which we use to study mean-field dynamics of the EI 族群 and its 分岔s. In the low firing rate regime, the quiescent state loses stability due to saddle-node or Hopf 分岔s. In particular, at the Bogdanov-Takens (BT) 分岔 point which is the intersection of the Hopf 分岔 and the saddle-node 分岔 lines of the 2D dynamical system, the 網絡 shows avalanche dynamics with power-law avalanche size and duration distributions. This matches the characteristics of low firing spontaneous activity in the cortex. By linearizing gain f
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