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

Jaeseung Jeong, Yongho Kwak, Kyoung J. Lee

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)813-818
Number of pages6
JournalNeurocomputing
Volume52-54
DOIs
Publication statusPublished - 2003 Jun

Keywords

  • Heterogeneity
  • Nonlinear determinism
  • Suprachiasmatic nucleus

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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