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Journal of Computational Neuroscience

Erschienen in:

01.04.2008

The role of synaptic facilitation in spike coincidence detection

verfasst von: Jorge F. Mejías, Joaquín J. Torres

Erschienen in: Journal of Computational Neuroscience | Ausgabe 2/2008

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Abstract

Using a realistic model of activity dependent dynamical synapse, which includes both depressing and facilitating mechanisms, we study the conditions in which a postsynaptic neuron efficiently detects temporal coincidences of spikes which arrive from N different presynaptic neurons at certain frequency f. A numerical and analytical treatment of that system shows that: (1) facilitation enhances the detection of correlated signals arriving from a subset of presynaptic excitatory neurons, and (2) the presence of facilitation yields to a better detection of firing rate changes in the presynaptic activity. We also observed that facilitation determines the existence of an optimal input frequency which allows the best performance for a wide (maximum) range of the neuron firing threshold. This optimal frequency can be controlled by means of facilitation parameters. Finally, we show that these results are robust even for very noisy signals and in the presence of synaptic fluctuations produced by the stochastic release of neurotransmitters.

Vorheriger Artikel Dendritic action potentials connect distributed dendrodendritic microcircuits

Nächster Artikel A simple model of retina-LGN transmission

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Note that it is the synaptic conductance, rather than the synaptic current, which depends on A _SE·y(t). Our assumption for the current, however, is a good approximation when the membrane potential V(t) is below the firing threshold V _th and τ _m ≫ τ _in, so that V(t) remains constant during the temporal variation of the synaptic conductance.

The specific value of Δ is not too critical for the results found if moderate values are used. In particular, it is convenient to have Δ~τ _ref since this is a natural window for spike detection.

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Titel: The role of synaptic facilitation in spike coincidence detection
verfasst von: Jorge F. Mejías
Joaquín J. Torres
Publikationsdatum: 01.04.2008
Verlag: Springer US
Erschienen in: Journal of Computational Neuroscience / Ausgabe 2/2008
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI: https://doi.org/10.1007/s10827-007-0052-8

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