Abstract
The discrimination between two spike trains is a fundamental problem for both experimentalists and the nervous system itself. We introduce a measure for the distance between two spike trains. The distance has a time constant as a parameter. Depending on this parameter, the distance interpolates between a coincidence detector and a rate difference counter. The dependence of the distance on noise is studied with an integrate-and-fire model. For an intermediate range of the time constants, the distance depends linearly on the noise. This property can be used to determine the intrinsic noise of a neuron.
Original language | English |
---|---|
Pages (from-to) | 751-763 |
Number of pages | 13 |
Journal | Neural Computation |
Volume | 13 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Apr 2001 |