Collective behavior of networks with linear (VLSI) integrate-and- re neurons
نویسندگان
چکیده
We analyse in detail the statistical properties of the spike emission process of a \canonical" integrate-andre neuron, with a linear integrator and a lower bound for the depolarization, as often used in VLSI implementations [Mead, 1989]. The spike statistics of such neurons appears to be qualitatively similar to conventional (exponential) integrate-andre neurons that in turn, exhibit a wide variety of characteristics observed in cortical recordings. We also show that, contrary to current opinion, the dynamics of a network composed of such neurons has two stable xed points, even in the purely excitatory network, corresponding to two di erent states of reverberating activity. The analytical results are compared with numerical simulations and are found to be in good agreement.
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