A framework within which to generate and characterize populations of c
orrelated spike trains is presented. Spike trains are generated using
integrate to threshold and fire type encoders. Spectral analysis techn
iques form the basis for specifying the strength of correlation within
the population. To accurately specify weak correlation, a combined co
herence estimate is formed between several independent pairs of spike
trains from a population. The aim is to produce populations of spike t
rains which have a realistic stochastic correlation structure and whic
h can be used to explore the role of correlated neuronal discharge in
information processing in neuronal systems. (C) 1998 Elsevier Science
Ltd. All rights reserved.