Spike-frequency adaptation: Phenomenological model and experimental tests

Citation
J. Benda et al., Spike-frequency adaptation: Phenomenological model and experimental tests, NEUROCOMPUT, 38, 2001, pp. 105-110
Citations number
7
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
NEUROCOMPUTING
ISSN journal
09252312 → ACNP
Volume
38
Year of publication
2001
Pages
105 - 110
Database
ISI
SICI code
0925-2312(200106)38:<105:SAPMAE>2.0.ZU;2-2
Abstract
Spike-frequency adaptation is a common feature of neural dynamics. Here we present a low-dimensional phenomenological model whose parameters can be ea sily determined from experimental data. We test the model on intracellular recordings from auditory receptor neurons of locusts and demonstrate that t he 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. (C) 2001 Elsevier Science B.V. All rights reserved.