A model of how rapid changes in local input resistance of shark electrosensory neurons may enable detection of small signals

M. Paulin; W. Senn; Y. Yarom; H. Meiri; D. Cohen

A model of how rapid changes in local input resistance of shark electrosensory neurons may enable detection of small signals

M. Paulin, W. Senn, Y. Yarom, H. Meiri, D. Cohen

The Leslie and Susan Gonda Multidisciplinary Brain Research Center

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Sharks and other elasmobranchs hunt by detecting weak electric fields produced by their prey (Kalmijn, 1982). The behavioural threshold for initiating an electrically-guided attack is a few nanovolts (Kalmijn, 1982), but the sensitivity of primary afferent neurons is in the order of a few spikes per second per microvolt (Montgomery, 1984a; Conley and Bodznick, 1994). Thus the change in afferent firing rate caused by prey at the threshold is in the order of 1 spike per minute, or about 0.1% of the spontaneous rate (~15/sec, Montgomery, 1984a).

Original language	American English
Title of host publication	Computational Neuroscience: Trends in Research
Editors	D. Cohen
Place of Publication	New York
Publisher	Plenum Press
Pages	239-243
State	Published - 1998

Cite this

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title = "A model of how rapid changes in local input resistance of shark electrosensory neurons may enable detection of small signals",

abstract = "Sharks and other elasmobranchs hunt by detecting weak electric fields produced by their prey (Kalmijn, 1982). The behavioural threshold for initiating an electrically-guided attack is a few nanovolts (Kalmijn, 1982), but the sensitivity of primary afferent neurons is in the order of a few spikes per second per microvolt (Montgomery, 1984a; Conley and Bodznick, 1994). Thus the change in afferent firing rate caused by prey at the threshold is in the order of 1 spike per minute, or about 0.1% of the spontaneous rate (~15/sec, Montgomery, 1984a).",

author = "M. Paulin and W. Senn and Y. Yarom and H. Meiri and D. Cohen",

year = "1998",

language = "American English",

pages = "239--243",

editor = "D. Cohen",

booktitle = "Computational Neuroscience: Trends in Research",

publisher = "Plenum Press",

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TY - CHAP

T1 - A model of how rapid changes in local input resistance of shark electrosensory neurons may enable detection of small signals

AU - Paulin, M.

AU - Senn, W.

AU - Yarom, Y.

AU - Meiri, H.

AU - Cohen, D.

PY - 1998

Y1 - 1998

N2 - Sharks and other elasmobranchs hunt by detecting weak electric fields produced by their prey (Kalmijn, 1982). The behavioural threshold for initiating an electrically-guided attack is a few nanovolts (Kalmijn, 1982), but the sensitivity of primary afferent neurons is in the order of a few spikes per second per microvolt (Montgomery, 1984a; Conley and Bodznick, 1994). Thus the change in afferent firing rate caused by prey at the threshold is in the order of 1 spike per minute, or about 0.1% of the spontaneous rate (~15/sec, Montgomery, 1984a).

AB - Sharks and other elasmobranchs hunt by detecting weak electric fields produced by their prey (Kalmijn, 1982). The behavioural threshold for initiating an electrically-guided attack is a few nanovolts (Kalmijn, 1982), but the sensitivity of primary afferent neurons is in the order of a few spikes per second per microvolt (Montgomery, 1984a; Conley and Bodznick, 1994). Thus the change in afferent firing rate caused by prey at the threshold is in the order of 1 spike per minute, or about 0.1% of the spontaneous rate (~15/sec, Montgomery, 1984a).

M3 - Chapter

SP - 239

EP - 243

BT - Computational Neuroscience: Trends in Research

A2 - Cohen, D.

PB - Plenum Press

CY - New York

ER -

A model of how rapid changes in local input resistance of shark electrosensory neurons may enable detection of small signals

Abstract

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