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Cognitive Neurodynamics

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01.09.2010 | Original Research

Using interspike intervals to quantify noise effects on spike trains in temperature encoding neurons

verfasst von: Ying Du, Qishao Lu, Rubin Wang

Erschienen in: Cognitive Neurodynamics | Ausgabe 3/2010

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Abstract

This paper examines how noise interacts with the non-linear dynamical mechanisms of neuronal stimulus. We study the spike trains generated by a minimal Hodgkin-Huxley type model of a cold receptor neuron. The distributions of interspike intervals(ISIs) of purely deterministic simulations exhibit considerable differences compared to the noisy ones. We quantify the effect of noise using ISI return plots and the ISI-distance recently proposed by Kreuz et al. (J Neurosci Meth, 165:151–161, 2007). It is shown that the spike trains of a cold receptor neuron are more strongly affected by noise for low temperatures than for high temperatures. This trend is also observed in both regimes of cold receptors: tonic firing(which occurs for low and high temperatures) and bursting (which occurs for intermediate temperatures).

Vorheriger Artikel Visual saliency: a biologically plausible contourlet-like frequency domain approach

Nächster Artikel A semi-supervised support vector machine approach for parameter setting in motor imagery-based brain computer interfaces

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Titel: Using interspike intervals to quantify noise effects on spike trains in temperature encoding neurons
verfasst von: Ying Du
Qishao Lu
Rubin Wang
Publikationsdatum: 01.09.2010
Verlag: Springer Netherlands
Erschienen in: Cognitive Neurodynamics / Ausgabe 3/2010
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-010-9112-2

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