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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/226

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Title: A novel spike distance
Authors: van Rossum, Mark
Issue Date: 2001
Citation: A novel spike distance, Neural Computation 13, 751-763 (2001)
Abstract: The discrimination between two spike trains is a fundamental problem, both for the experimentalist and for 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.
Keywords: Institute for Adaptive and Neural Computation
URI: http://hdl.handle.net/1842/226
Appears in Collections:Informatics Publications

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