Models of frequency preferences of prefrontal cortical neurons

Arthur R. Houweling; Rashmi H. Modi; Paul Ganter; Jean Marc Fellous; Terrence J. Sejnowski

doi:10.1016/S0925-2312(01)00527-6

Models of frequency preferences of prefrontal cortical neurons

Arthur R. Houweling, Rashmi H. Modi, Paul Ganter, Jean Marc Fellous, Terrence J. Sejnowski

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

5 Scopus citations

Abstract

The reliability of spike trains generated by sinusoidal current injections in prefrontal cortical pyramidal cells and interneurons depends strongly on the input frequency. We constructed computational models in order to study how cellular properties affect reliability. The models reproduced the main experimental findings: subthreshold oscillations, resonance and reliability of spike timing. The amplitude of intrinsic noise in the model determined the number of reliable frequency bands. In addition, the frequency content of the noise did not affect reliability.

Original language	English (US)
Pages (from-to)	231-238
Number of pages	8
Journal	Neurocomputing
Volume	38-40
DOIs	https://doi.org/10.1016/S0925-2312(01)00527-6
State	Published - Jun 2001
Externally published	Yes

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/S0925-2312(01)00527-6

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title = "Models of frequency preferences of prefrontal cortical neurons",

abstract = "The reliability of spike trains generated by sinusoidal current injections in prefrontal cortical pyramidal cells and interneurons depends strongly on the input frequency. We constructed computational models in order to study how cellular properties affect reliability. The models reproduced the main experimental findings: subthreshold oscillations, resonance and reliability of spike timing. The amplitude of intrinsic noise in the model determined the number of reliable frequency bands. In addition, the frequency content of the noise did not affect reliability.",

author = "{R. Houweling}, Arthur and {H. Modi}, Rashmi and Paul Ganter and Fellous, {Jean Marc} and {J. Sejnowski}, Terrence",

note = "Funding Information: This work was supported by the Howard Hughes Medical Institute. ",

year = "2001",

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doi = "10.1016/S0925-2312(01)00527-6",

language = "English (US)",

volume = "38-40",

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T1 - Models of frequency preferences of prefrontal cortical neurons

AU - R. Houweling, Arthur

AU - H. Modi, Rashmi

AU - Ganter, Paul

AU - Fellous, Jean Marc

AU - J. Sejnowski, Terrence

N1 - Funding Information: This work was supported by the Howard Hughes Medical Institute.

PY - 2001/6

Y1 - 2001/6

N2 - The reliability of spike trains generated by sinusoidal current injections in prefrontal cortical pyramidal cells and interneurons depends strongly on the input frequency. We constructed computational models in order to study how cellular properties affect reliability. The models reproduced the main experimental findings: subthreshold oscillations, resonance and reliability of spike timing. The amplitude of intrinsic noise in the model determined the number of reliable frequency bands. In addition, the frequency content of the noise did not affect reliability.

AB - The reliability of spike trains generated by sinusoidal current injections in prefrontal cortical pyramidal cells and interneurons depends strongly on the input frequency. We constructed computational models in order to study how cellular properties affect reliability. The models reproduced the main experimental findings: subthreshold oscillations, resonance and reliability of spike timing. The amplitude of intrinsic noise in the model determined the number of reliable frequency bands. In addition, the frequency content of the noise did not affect reliability.

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DO - 10.1016/S0925-2312(01)00527-6

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VL - 38-40

SP - 231

EP - 238

JO - Neurocomputing

JF - Neurocomputing

ER -

Models of frequency preferences of prefrontal cortical neurons

Abstract

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