Nonlinear determinism of spiking activity recorded from rat suprachiasmatic nucleus neurons in vitro

Jaeseung Jeong; Yongho Kwak; Kyoung J. Lee

doi:10.1016/s0925-2312(02)00788-9

Nonlinear determinism of spiking activity recorded from rat suprachiasmatic nucleus neurons in vitro

Jaeseung Jeong, Yongho Kwak, Kyoung J. Lee

Department of Physics

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

3 Citations (Scopus)

Abstract

The possible existence of nonlinear determinism in complex interspike interval (ISI) patterns of rat suprachiasmatic nucleus (SCN) neurons is investigated in hypothalamic slice preparations. ISI sequences are recorded from 173 neurons using a cell-attached patch recording technique, and their correlation dimensions (D₂) are estimated. These values are then compared with those of the randomly shuffled surrogate data. Among 173 neurons, 16 neurons are found to exhibit deterministic ISI patterns of spikes. We show, using clustering analysis, that SCN neurons is divided into two subgroups of neurons each having distinct values of skewness (SK) and coefficient of variation (CV : a group of irregularly spiking SCN neurons having large values of SK (2.0 < SK < 10.0) and CV (0.4 < CV < 0.8) and the other group of regular SCN neurons with smaller SK (-1.0 < SK < 2.0) and CV (0.1 < CV < 0.4) values. Interestingly, most deterministic SCN neurons (14/16) belong to the group of irregularly spiking neurons.

Original language	English
Pages (from-to)	813-818
Number of pages	6
Journal	Neurocomputing
Volume	52-54
DOIs	https://doi.org/10.1016/s0925-2312(02)00788-9
Publication status	Published - 2003 Jun

Keywords

Heterogeneity
Nonlinear determinism
Suprachiasmatic nucleus

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/s0925-2312(02)00788-9

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title = "Nonlinear determinism of spiking activity recorded from rat suprachiasmatic nucleus neurons in vitro",

abstract = "The possible existence of nonlinear determinism in complex interspike interval (ISI) patterns of rat suprachiasmatic nucleus (SCN) neurons is investigated in hypothalamic slice preparations. ISI sequences are recorded from 173 neurons using a cell-attached patch recording technique, and their correlation dimensions (D2) are estimated. These values are then compared with those of the randomly shuffled surrogate data. Among 173 neurons, 16 neurons are found to exhibit deterministic ISI patterns of spikes. We show, using clustering analysis, that SCN neurons is divided into two subgroups of neurons each having distinct values of skewness (SK) and coefficient of variation (CV : a group of irregularly spiking SCN neurons having large values of SK (2.0 < SK < 10.0) and CV (0.4 < CV < 0.8) and the other group of regular SCN neurons with smaller SK (-1.0 < SK < 2.0) and CV (0.1 < CV < 0.4) values. Interestingly, most deterministic SCN neurons (14/16) belong to the group of irregularly spiking neurons.",

keywords = "Heterogeneity, Nonlinear determinism, Suprachiasmatic nucleus",

author = "Jaeseung Jeong and Yongho Kwak and Lee, {Kyoung J.}",

note = "Funding Information: This work was supported by Creative Research Initiatives of the Korean Ministry of Science and Technology. ",

year = "2003",

month = jun,

doi = "10.1016/s0925-2312(02)00788-9",

language = "English",

volume = "52-54",

pages = "813--818",

journal = "Neurocomputing",

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TY - JOUR

T1 - Nonlinear determinism of spiking activity recorded from rat suprachiasmatic nucleus neurons in vitro

AU - Jeong, Jaeseung

AU - Kwak, Yongho

AU - Lee, Kyoung J.

N1 - Funding Information: This work was supported by Creative Research Initiatives of the Korean Ministry of Science and Technology.

PY - 2003/6

Y1 - 2003/6

N2 - The possible existence of nonlinear determinism in complex interspike interval (ISI) patterns of rat suprachiasmatic nucleus (SCN) neurons is investigated in hypothalamic slice preparations. ISI sequences are recorded from 173 neurons using a cell-attached patch recording technique, and their correlation dimensions (D2) are estimated. These values are then compared with those of the randomly shuffled surrogate data. Among 173 neurons, 16 neurons are found to exhibit deterministic ISI patterns of spikes. We show, using clustering analysis, that SCN neurons is divided into two subgroups of neurons each having distinct values of skewness (SK) and coefficient of variation (CV : a group of irregularly spiking SCN neurons having large values of SK (2.0 < SK < 10.0) and CV (0.4 < CV < 0.8) and the other group of regular SCN neurons with smaller SK (-1.0 < SK < 2.0) and CV (0.1 < CV < 0.4) values. Interestingly, most deterministic SCN neurons (14/16) belong to the group of irregularly spiking neurons.

AB - The possible existence of nonlinear determinism in complex interspike interval (ISI) patterns of rat suprachiasmatic nucleus (SCN) neurons is investigated in hypothalamic slice preparations. ISI sequences are recorded from 173 neurons using a cell-attached patch recording technique, and their correlation dimensions (D2) are estimated. These values are then compared with those of the randomly shuffled surrogate data. Among 173 neurons, 16 neurons are found to exhibit deterministic ISI patterns of spikes. We show, using clustering analysis, that SCN neurons is divided into two subgroups of neurons each having distinct values of skewness (SK) and coefficient of variation (CV : a group of irregularly spiking SCN neurons having large values of SK (2.0 < SK < 10.0) and CV (0.4 < CV < 0.8) and the other group of regular SCN neurons with smaller SK (-1.0 < SK < 2.0) and CV (0.1 < CV < 0.4) values. Interestingly, most deterministic SCN neurons (14/16) belong to the group of irregularly spiking neurons.

KW - Heterogeneity

KW - Nonlinear determinism

KW - Suprachiasmatic nucleus

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U2 - 10.1016/s0925-2312(02)00788-9

DO - 10.1016/s0925-2312(02)00788-9

M3 - Article

AN - SCOPUS:0038795542

SN - 0925-2312

VL - 52-54

SP - 813

EP - 818

JO - Neurocomputing

JF - Neurocomputing

ER -

Nonlinear determinism of spiking activity recorded from rat suprachiasmatic nucleus neurons in vitro

Abstract

Keywords

ASJC Scopus subject areas

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