Freund, Jan A., Nikitin, Alexander and Stocks, Nigel G. (2010) Phase locking below rate threshold in noisy model neurons. Neural Computation, Vol.22 (No.3). pp. 599-620. doi:10.1162/neco.2009.01-09-934 ISSN 0899-7667.

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Abstract

The property of a neuron to phase-lock to an oscillatory stimulus before adapting its spike rate to the stimulus frequency plays an important role for the auditory system. We investigate under which conditions neurons exhibit this phase locking below rate threshold. To this end, we simulate neurons employing the widely used leaky integrate-and-fire (LIF) model. Tuning parameters, we can arrange either an irregular spontaneous or a tonic spiking mode. When the neuron is stimulated in both modes, a significant rise of vector strength prior to a noticeable change of the spike rate can be observed. Combining analytic reasoning with numerical simulations, we trace this observation back to a modulation of interspike intervals, which itself requires spikes to be only loosely coupled. We test the limits of this conception by simulating an LIF model with threshold fatigue, which generates pronounced anticorrelations between subsequent interspike intervals. In addition we evaluate the LIF response for harmonic stimuli of various frequencies and discuss the extension to more complex stimuli. It seems that phase locking below rate threshold occurs generically for all zero mean stimuli. Finally, we discuss our findings in the context of stimulus detection.

Item Type:	Journal Article
Subjects:	Q Science > QP Physiology
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH):	Ear -- Research, Neurons -- Mathematical models, Neurons -- Research
Journal or Publication Title:	Neural Computation
Publisher:	MIT Press
ISSN:	0899-7667
Official Date:	March 2010
Dates:	Date Event March 2010 Published
Volume:	Vol.22
Number:	No.3
Number of Pages:	22
Page Range:	pp. 599-620
DOI:	10.1162/neco.2009.01-09-934
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Funder:	Deutscher Akademischer Austauschdienst (DAAD)
Grant number:	ARC D/06/12701 (DAAD), EP/DO51894

Data sourced from Thomson Reuters' Web of Knowledge

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