The KIV mode - Nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain

Robert Kozma, Walter J. Freeman, P. Érdi

Research output: Contribution to journalArticle

63 Citations (Scopus)

Abstract

EEG measurements indicate the presence of common-mode, coherent oscillations in various cortical areas. In previous studies the KIII model has been introduced, which interprets the experimental observation as nonlinear, spatially distributed dynamical oscillations of coupled neural populations. In this paper we combine multiple KIII sets into the KIV model, which approximates the operation of the basic vertebrate forebrain together with the basal ganglia and motor systems. This paper outlines a summary description of the essential components of the KIV model, as the basis for future modeling of their cooperative dynamics guided by analysis of multichannel EEG in animals and humans.

Original languageEnglish
Pages (from-to)819-826
Number of pages8
JournalNeurocomputing
Volume52-54
Publication statusPublished - Jun 2003

Fingerprint

Prosencephalon
Vertebrates
Electroencephalography
Basal Ganglia
Observation
Animals
Population

Keywords

  • Chaos
  • Cortex
  • Hippocampus
  • Neurodynamics
  • Spatio-temporal EEG

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience

Cite this

The KIV mode - Nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain. / Kozma, Robert; Freeman, Walter J.; Érdi, P.

In: Neurocomputing, Vol. 52-54, 06.2003, p. 819-826.

Research output: Contribution to journalArticle

Kozma, Robert ; Freeman, Walter J. ; Érdi, P. / The KIV mode - Nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain. In: Neurocomputing. 2003 ; Vol. 52-54. pp. 819-826.
@article{6bd30092080c4ca5b4d5fa7ca5c33910,
title = "The KIV mode - Nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain",
abstract = "EEG measurements indicate the presence of common-mode, coherent oscillations in various cortical areas. In previous studies the KIII model has been introduced, which interprets the experimental observation as nonlinear, spatially distributed dynamical oscillations of coupled neural populations. In this paper we combine multiple KIII sets into the KIV model, which approximates the operation of the basic vertebrate forebrain together with the basal ganglia and motor systems. This paper outlines a summary description of the essential components of the KIV model, as the basis for future modeling of their cooperative dynamics guided by analysis of multichannel EEG in animals and humans.",
keywords = "Chaos, Cortex, Hippocampus, Neurodynamics, Spatio-temporal EEG",
author = "Robert Kozma and Freeman, {Walter J.} and P. {\'E}rdi",
year = "2003",
month = "6",
language = "English",
volume = "52-54",
pages = "819--826",
journal = "Neurocomputing",
issn = "0925-2312",
publisher = "Elsevier",

}

TY - JOUR

T1 - The KIV mode - Nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain

AU - Kozma, Robert

AU - Freeman, Walter J.

AU - Érdi, P.

PY - 2003/6

Y1 - 2003/6

N2 - EEG measurements indicate the presence of common-mode, coherent oscillations in various cortical areas. In previous studies the KIII model has been introduced, which interprets the experimental observation as nonlinear, spatially distributed dynamical oscillations of coupled neural populations. In this paper we combine multiple KIII sets into the KIV model, which approximates the operation of the basic vertebrate forebrain together with the basal ganglia and motor systems. This paper outlines a summary description of the essential components of the KIV model, as the basis for future modeling of their cooperative dynamics guided by analysis of multichannel EEG in animals and humans.

AB - EEG measurements indicate the presence of common-mode, coherent oscillations in various cortical areas. In previous studies the KIII model has been introduced, which interprets the experimental observation as nonlinear, spatially distributed dynamical oscillations of coupled neural populations. In this paper we combine multiple KIII sets into the KIV model, which approximates the operation of the basic vertebrate forebrain together with the basal ganglia and motor systems. This paper outlines a summary description of the essential components of the KIV model, as the basis for future modeling of their cooperative dynamics guided by analysis of multichannel EEG in animals and humans.

KW - Chaos

KW - Cortex

KW - Hippocampus

KW - Neurodynamics

KW - Spatio-temporal EEG

UR - http://www.scopus.com/inward/record.url?scp=0037706889&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0037706889&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0037706889

VL - 52-54

SP - 819

EP - 826

JO - Neurocomputing

JF - Neurocomputing

SN - 0925-2312

ER -