Postsynaptic modulation of electrical EPSP size investigated using a compartmental model

Ovidiu D. Iancu; Jianmei Zhang; Patrick D. Roberts; Curtis C. Bell

doi:10.1016/j.neucom.2006.10.096

Postsynaptic modulation of electrical EPSP size investigated using a compartmental model

Ovidiu D. Iancu, Jianmei Zhang, Patrick D. Roberts, Curtis C. Bell

Behavioral Neuroscience

Research output: Contribution to journal › Article › peer-review

Abstract

The mormyrid electric fish displays extremely fine temporal resolution as measured in behavioral studies. The first stage of sensory processing, the sensory afferents, also display very precise temporal responses to electrical stimulation. The afferents are connected through gap junctions to the granular cells, which in addition receive a corollary discharge signal at the time of the electric pulse. The granular cells have a relatively long time constant, seemingly at odds with their presumed role as coincidence detectors. We use experimental data to build a compartmental model that investigates the mechanism by which the relative timing of the two inputs to the granular cells determines the effect of the afferent spike through the electrical synapse.

Original language	English (US)
Pages (from-to)	1685-1688
Number of pages	4
Journal	Neurocomputing
Volume	70
Issue number	10-12
DOIs	https://doi.org/10.1016/j.neucom.2006.10.096
State	Published - Jun 2007

Keywords

Coincidence detection
Compartmental model
Electrosensory
Simulation

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/j.neucom.2006.10.096

Cite this

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title = "Postsynaptic modulation of electrical EPSP size investigated using a compartmental model",

abstract = "The mormyrid electric fish displays extremely fine temporal resolution as measured in behavioral studies. The first stage of sensory processing, the sensory afferents, also display very precise temporal responses to electrical stimulation. The afferents are connected through gap junctions to the granular cells, which in addition receive a corollary discharge signal at the time of the electric pulse. The granular cells have a relatively long time constant, seemingly at odds with their presumed role as coincidence detectors. We use experimental data to build a compartmental model that investigates the mechanism by which the relative timing of the two inputs to the granular cells determines the effect of the afferent spike through the electrical synapse.",

keywords = "Coincidence detection, Compartmental model, Electrosensory, Simulation",

author = "Iancu, {Ovidiu D.} and Jianmei Zhang and Roberts, {Patrick D.} and Bell, {Curtis C.}",

note = "Funding Information: This material is based upon work supported by the National Science Foundation under Grant no. IOB-0445648. ",

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T1 - Postsynaptic modulation of electrical EPSP size investigated using a compartmental model

AU - Iancu, Ovidiu D.

AU - Zhang, Jianmei

AU - Roberts, Patrick D.

AU - Bell, Curtis C.

N1 - Funding Information: This material is based upon work supported by the National Science Foundation under Grant no. IOB-0445648.

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AB - The mormyrid electric fish displays extremely fine temporal resolution as measured in behavioral studies. The first stage of sensory processing, the sensory afferents, also display very precise temporal responses to electrical stimulation. The afferents are connected through gap junctions to the granular cells, which in addition receive a corollary discharge signal at the time of the electric pulse. The granular cells have a relatively long time constant, seemingly at odds with their presumed role as coincidence detectors. We use experimental data to build a compartmental model that investigates the mechanism by which the relative timing of the two inputs to the granular cells determines the effect of the afferent spike through the electrical synapse.

KW - Coincidence detection

KW - Compartmental model

KW - Electrosensory

KW - Simulation

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Postsynaptic modulation of electrical EPSP size investigated using a compartmental model

Abstract

Keywords

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