Paper
30 April 2003 Neuromodulatory actions of noise on sub- and suprathreshold responses of intrinsically oscillatory neurons
Martin T Huber, H. A. Braun
Author Affiliations +
Proceedings Volume 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems; (2003) https://doi.org/10.1117/12.491009
Event: SPIE's First International Symposium on Fluctuations and Noise, 2003, Santa Fe, New Mexico, United States
Abstract
Oscillations of the membrane potential are a prominent feature of several neurons in the central and peripheral nervous system. Evidences exist that neurons combine intrinsic oscillations with stochastic influences to obtain sensitive encoding. Here we investigated the responses of oscillatory neurons with respect to different activity states and noise levels as well as different measures of the responses. For that we used a computational approach and studied systematically the responses of a physiologically motivated neuronal oscillator model. With subthreshold activation of the model, noise mediates oscillation-coupled spike generation. In this situation noise-tuning results in maximum curves for the coherence of oscillations and spikes (coherence resonance) whereas the mean spike frequencies increase monotonically. In contrast, with suprathreshold activation, noise suppresses oscillation-coupled spike generation. In this situation, noise tuning leads to a minimum curve for the mean spike frequency whereas the coherence measure decreases monotonically. In conclusion, our study shows interesting effects on neuronal responses depending on the level of stimulation and noise intensity. In addition, the study demonstrates how such dynamical behaviors might fulfill different purposes depending on the actual encoding strategy used.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin T Huber and H. A. Braun "Neuromodulatory actions of noise on sub- and suprathreshold responses of intrinsically oscillatory neurons", Proc. SPIE 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems, (30 April 2003); https://doi.org/10.1117/12.491009
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Cited by 5 scholarly publications.
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KEYWORDS
Neurons

Action potentials

Sodium

Computer programming

Stochastic processes

Potassium

Systems modeling

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