Noise in neurons is message-dependent

Details Noise in neurons is message-dependent Noise in neurons is message-dependent

2000-04-28

arxiv.org/abs/cond-mat/0004492v1

Proceedings of the National Academy of Sciences, 97(10), 5557-61 (2000)

Physics

Condensed Matter

Disordered Systems and Neural Networks

6 pages,6 figures. Proceedings of the National Academy of Sciences (in press)

Scientific paper

10.1073/pnas.100113597

Neuronal responses are conspicuously variable. We focus on one particular aspect of that variability: the precision of action potential timing. We show that for common models of noisy spike generation, elementary considerations imply that such variability is a function of the input, and can be made arbitrarily large or small by a suitable choice of inputs. Our considerations are expected to extend to virtually any mechanism of spike generation, and we illustrate them with data from the visual pathway. Thus, a simplification usually made in the application of information theory to neural processing is violated: noise {\sl is not independent of the message}. However, we also show the existence of {\sl error-correcting} topologies, which can achieve better timing reliability than their components.

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