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Self-organized collective oscillations in networks of stochastic spiking neurons
Lei Chen1, Chaojun Yu1, Jian Zhai1
1School of Mathematical Sciences, Zhejiang University, Hangzhou 310058, China.
Abstract:
The theory of self-organized bistability (SOB) is the counterpart of self-organized criticality for systems tuning themselves to the edge of bistability of a discontinuous phase transition, rather than to the critical point of a continuous one. As far as we are concerned, there are currently few neural network models that display SOB or rather its non-conservative version, self-organized collective oscillations (SOCO). We show that by slightly modifying the firing function, a stochastic excitatory/inhibitory network model can display SOCO behaviors, thus providing some insights into how SOCO behaviors can be generated in neural network models.
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