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A Novel Spike Distance
Open accessAbstract
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-andfire 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.
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Cited by
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Simulating tactile signals from the whole hand with millisecond precision
Saal, H. P., Delhaye, B. P., Rayhaun, B. C., & Bensmaia, S. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1704856114 · Cited by 264
A simple model of mechanotransduction in primate glabrous skin
Dong, Y., Mihalas, S., Kim, S. S., Yoshioka, T., Bensmaia, S., & Niebur, E. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00395.2012 · Cited by 47
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Metadata
- Authors
- Rossum, M. C. W. V.
- Venue
- Neural Computation
- Publisher
- MIT Press - Journals
- Published
- 2001-04-01
- Volume
- 13
- Issue
- 4
- Pages
- 751-763
- ISSN
- 0899-7667 (ISSN-L)
- 1530-888X
- OpenAlex
- W2111562869
- Cited by
- 519
- References
- 0
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
