Information processing in noisy burster models

Steffen Liepelt; Jan A. Freund

doi:10.1117/12.497104

30 April 2003 Information processing in noisy burster models

Steffen Liepelt, Jan A. Freund

Proceedings Volume 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems; (2003) https://doi.org/10.1117/12.497104
Event: SPIE's First International Symposium on Fluctuations and Noise, 2003, Santa Fe, New Mexico, United States

Abstract

The detection of external stimuli by peripheral sensory neurons and the downstream processing by cortical neurons quite often involves the operational mode of bursting activity, i.e., periods of rapid firing alternating with intervals of quiescence. In some systems, e.g. the electrosense of the paddlefish (Polyodon spathula), a transition from tonic firing to the bursting regime can be induced by external noise. Under the hypothesis that information about the external stimulus is encoded in the statistics of the interspike intervals (ISIs) we quantify the information content of these noisy bursters and the sensitivity to weak stimuli. Our analysis is based on analytic methods and numerical simulations of effective burster models.

Citation Download Citation

Steffen Liepelt and Jan A. Freund "Information processing in noisy burster models", Proc. SPIE 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems, (30 April 2003); https://doi.org/10.1117/12.497104

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