Spike-frequency adaptation: Phenomenological model and experimental tests

Benda, J; Bethge, M; Henning M, Pawelzik, K; Herz, AVM

doi:10.1016/S0925-2312(01)00545-8

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Spike-frequency adaptation: Phenomenological model and experimental tests

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Bethge, M
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Benda, J., Bethge, M., Henning M, Pawelzik, K., & Herz, A. (2001). Spike-frequency adaptation: Phenomenological model and experimental tests. Neurocomputing, 38-40, 105-110. doi:10.1016/S0925-2312(01)00545-8.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-E270-A

Abstract

Spike-frequency adaptation is a common feature of neural dynamics. Here we present a low-dimensional phenomenological model whose parameters can be easily determined from experimental data. We test the model on intracellular recordings from auditory receptor neurons of locusts and demonstrate that the temporal variation of discharge rate is predicted with high accuracy. We relate the model to biophysical descriptions of adaptation in conductance-based models and analyze its implications for neural computation.