Titlebook: Artificial Neural Networks — ICANN ’97; 7th International Co Wulfram Gerstner,Alain Germond,Jean-Daniel Nicoud Conference proceedings 1997

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Noise in integrate-and-fire models of neuronal dynamics,rimarily concerned with different variants of stochastic leaky-integrator models for the membrane potential. The point process representation is then achieved by the first passage time transformation of the underlying membrane potential model. Different sources of the noise in the diffusion neuronal

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Analogue resolution in a model of the Schaffer collaterals, CA3 to the CA1 pyramidal cells within the hippocampus. Here we discuss in particular results from the model on the effect of analogue coding levels in the Schaffer collaterals, and the fact that this depends upon the sparseness of firing rate distributions in the hippocampus.

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Modeling networks with linear (VLSI) integrate-and-fire neurons,ons [1]. We show that a network of such elements can maintain both stable spontaneous activity and selective (stimulus specific) activity, contrary to current opinion. The spike statistics appears to be qualitatively the same as in networks of conventional (exponential) integrate-and-fire neurons th

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An information-theoretic analysis of temporal coding strategies by spiking central neurons,ng code how many spikes are necessary for reliably encoding input signals. We analyze the transmission of information, the reliability of signal detection and the coding strategy for the case of central neurons which contrary to peripheral sensory neurons handle input signals assumed to be given by

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Two-dimensional Hodgkin-Huxley equations for investigating a basis of pulse-processing neural netwohitecture is based on biological nerve systems much more and, hence, it is very important as a basis to investigate the dynamics of pulse signals in biological neural networks such as interactions of action potential (signal pulses. In this paper, two-dimensional Hodgkin-Huxley equations are propose

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