Modeling ion channels from the cricket cercal sensory system

Carrie Diaz Eaton; Sharon Crook; Graham Cummins; Gwen Jacobs

doi:10.1016/j.neucom.2004.01.074

Modeling ion channels from the cricket cercal sensory system

Carrie Diaz Eaton, Sharon Crook, Graham Cummins, Gwen Jacobs

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

Abstract

We are interested in understanding how information about air-current dynamics is represented and processed in the primary sensory interneurons of the cricket cercal system. In this work, we develop channel models based on voltage-clamp data from Kloppenburg and Hörner (J. Exp. Biol. 201 (1998) 2529), use channel ensembles to construct model neurons, and analyze the underlying mathematical structure of these excitable systems. We also examine the behavior of the model neurons in response to constant frequency stimuli and its dependence on channel kinetics. This study provides a crucial step toward developing models for studying the contributions of channel dynamics to mechanisms underlying information processing in this system.

Original language	English (US)
Pages (from-to)	409-415
Number of pages	7
Journal	Neurocomputing
Volume	58-60
DOIs	https://doi.org/10.1016/j.neucom.2004.01.074
State	Published - Jun 2004
Externally published	Yes

Keywords

Insect sensory system
Ion channel models
Sensory interneurons

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/j.neucom.2004.01.074

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title = "Modeling ion channels from the cricket cercal sensory system",

abstract = "We are interested in understanding how information about air-current dynamics is represented and processed in the primary sensory interneurons of the cricket cercal system. In this work, we develop channel models based on voltage-clamp data from Kloppenburg and H{\"o}rner (J. Exp. Biol. 201 (1998) 2529), use channel ensembles to construct model neurons, and analyze the underlying mathematical structure of these excitable systems. We also examine the behavior of the model neurons in response to constant frequency stimuli and its dependence on channel kinetics. This study provides a crucial step toward developing models for studying the contributions of channel dynamics to mechanisms underlying information processing in this system.",

keywords = "Insect sensory system, Ion channel models, Sensory interneurons",

author = "Eaton, {Carrie Diaz} and Sharon Crook and Graham Cummins and Gwen Jacobs",

note = "Funding Information: We gratefully acknowledge the support of the National Science Foundation through IBN 0091117. This material is also based upon work supported by the Mathematical Biosciences Institute through the National Science Foundation under Agreement No. 0112050. ",

year = "2004",

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doi = "10.1016/j.neucom.2004.01.074",

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T1 - Modeling ion channels from the cricket cercal sensory system

AU - Eaton, Carrie Diaz

AU - Crook, Sharon

AU - Cummins, Graham

AU - Jacobs, Gwen

N1 - Funding Information: We gratefully acknowledge the support of the National Science Foundation through IBN 0091117. This material is also based upon work supported by the Mathematical Biosciences Institute through the National Science Foundation under Agreement No. 0112050.

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AB - We are interested in understanding how information about air-current dynamics is represented and processed in the primary sensory interneurons of the cricket cercal system. In this work, we develop channel models based on voltage-clamp data from Kloppenburg and Hörner (J. Exp. Biol. 201 (1998) 2529), use channel ensembles to construct model neurons, and analyze the underlying mathematical structure of these excitable systems. We also examine the behavior of the model neurons in response to constant frequency stimuli and its dependence on channel kinetics. This study provides a crucial step toward developing models for studying the contributions of channel dynamics to mechanisms underlying information processing in this system.

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KW - Ion channel models

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Modeling ion channels from the cricket cercal sensory system

Abstract

Keywords

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