Biological neural networks are large systems of complex elements interacting through a complex array of connections.
Neural network modeling
How do we describe and interpret the activity of a large
population of neurons and how do we model neural circuits when:
o individual neurons are such complex elements and
o our knowledge of the synaptic connections is so incomplete?
A review paper by L.F. Abbott
Center for Complex Systems
Brandeis University
Waltham, MA 02254
Published in Quart. Rev. Biophys. 27:291-331 (1994)

This review covers some of the approaches and techniques that have been developed to deal with these problems. The author concentrates on mathematical and computational methods with applications provided primarily to illustrate the methods.
The document covers issues as neuronal dynamics and spike & population coding / decoding.

Access a pre-published version of this paper here
, or visit the author’s personal page..

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