The Role of Noise in Sensory Information Transfer
NAVAL COMMAND CONTROL AND OCEAN SURVEILLANCE CENTER RDT AND E DIV SAN DIEGO CA
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We consider the interpretation of time series data from firing events in periodically stimulated sensory neurons. The neurons are represented as nonlinear switching elements embedded in a Gaussian noise background. The cooperative effects arising through the coupling of the noise to the modulation are examined, together with their possible implications in the features of Inter-Spike-Interval Histograms ISIHs that are ubiquitous in neurophysiological experimental data. Our approach provides the simplest possible interpretation of the ISIHs and has been found to reproduce the salient features of experimental ISIHs- One such comparison, between very recent data from experiments performed in St. Louis, on the mechanoreceptor in the tailfan of the crayfish Procambarus clarkii, and analog simulations on a simple nonlinear excitable neural model is presented to elucidate this point.
- Information Science