|
Abstract
摘要 |
Homogeneously structured networks of neurons driven by noise can exhibit a broad range of dynamic behavior. This dynamic behavior can range from homogeneity to synchrony, and often incorporates brief spurts of collaborative activity which we call multiple-firing-events (MFEs). These multiple-firing-events depend on neither structured architecture nor structured input, and are an emergent property of the system. Although these MFEs likely play a major role in the neuronal avalanches observed in culture and in vivo, the mechanisms underlying these MFEs cannot easily be captured using current population-dynamics models.
In this talk, at first I will briefly introduce some of standard population-dynamics model and highlight the regimes for which they fail, then I will also introduce some recent approaches that we have tried, as well as possible direction for future works.
|
