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Title: Coincidence detection with dynamic synapses
Author(s): Pantic, L.; Torres, J.J.; Kappen, H.J.
Publication year: 2003
Source: Network: Computation in Neural Systems, vol. 14, iss. 1, (2003), pp. 17-33
ISSN: 0954-898X
Related links: https://pdfs.semanticscholar.org/0720/e221a665482d240dd6fd489f6d6cf8f267bf.pdf
DOI: https://doi.org/10.1088/0954-898X/14/1/302
Publication type: Article / Letter to editor

Please use this identifier to cite or link to this item : http://hdl.handle.net/2066/112671   http://hdl.handle.net/2066/112671

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Subject: UMCN 3.2: Cognitive neurosciences
Organization: Cognitive Neuroscience
Journal title:
Network: Computation in Neural Systems
Volume: vol. 14
Issue: iss. 1
Page start: p. 17
Page end: p. 33
Abstract:
Recent experimental findings show that the efficacy of transmission in cortical synapses depends on presynaptic activity. In most neural models, however, the synapses are regarded as static entities where this dependence is not included. We study the role of activity-dependent (dynamic) synapses in neuronal responses to temporal patterns of afferent activity. Our results demonstrate that, for suitably chosen threshold values, dynamic synapses are capable of coincidence detection (CD) over a much larger range of frequencies than static synapses. The phenomenon appears to be valid for an integrate-and-fire as well as a Hodgkin-Huxley neuron and various types of CD tasks.

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