Abstract
The sequence of action potentials produced by a neuron is best characterized in terms of a stochastic point process. In this contribution we will be primarily 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 models resulting from the stochastic leaky-integrator model will be discussed.
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© 1997 Springer-Verlag Berlin Heidelberg
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Lánsky, P., Lánská, V. (1997). Noise in integrate-and-fire models of neuronal dynamics. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020131
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DOI: https://doi.org/10.1007/BFb0020131
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