The effects of intrinsic noise on pattern recognition in a model pyramidal cell
Bruce P Graham · 1999
Computer simulation of a CA1 hippocampal pyramidal cell is used to estimate the effects of synaptic and spatio-temporal noise on signal integration. Comparison is made between the pattern recognition ability of the cell in the presence of this noise and that of a computing unit in an artificial neural network model of an heteroassociative memory. The results indicate that the pattern recognition performance of the pyramidal cell is within an order of magnitude of that of the noise-free computing unit. Synaptic noise may be the most serious form of noise from those considered. 1 Introduction Biological neurons contain many sources of noise that are not generally included in neural network models even when they are designed to mimic the behaviour of a part of the nervous system. This study continues work examining the effects of neurobiological forms of noise on the capacity of associative memory networks. Previously we have determined the impact of partial connectivity and probabilist...