We describe a simple model of spike processing build upon a number of neural
hardware primitives including integrate-and-ﬁre neurons, passive dendritic trees, simple integrators, inhibition logic and one-to-many axonal/dendritic tree connectivity.
Functionally, our model of spike processing consists of neuro-modulators, communication channels, neuro-demodulators and ﬁlters. Integrate-and-ﬁre neurons play the role
of neuro-modulators. They represent dendritic currents in the spike domain through a
process of reversible computation (non-linear modulation). Communication channels
model axons. Irreversible computation takes place, at least in part, in dendritic trees
as time domain linear and/or non-linear operations. Assuming that the stimulus at
the input of an integrate-and-ﬁre sensory neuron is bandlimited, we demonstrate how
to construct a linear operator that maps an arbitrary stimulus into a desired neuronal
author = "A. A. Lazar",
title = "A Simple Model of Spike Processing",
year = 2005,
booktitle = "BNET Technical Report #2-05",
month = "Apr"