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
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