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Self-averaging in complex brain neuron signals

  • A. Bershadskii
  • , E. Dremencov
  • , D. Fukayama
  • , G. Yadid
  • The International Coalition for Agunah Rights
  • University of California at Santa Barbara
  • Bar-Ilan University
  • Information and Mathematical Science Laboratory Inc.

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Nonlinear statistical properties of Ventral Tegmental Area (VTA) of limbic brain are studied in vivo. VTA plays key role in generation of pleasure and in development of psychological drug addiction. It is shown that spiking time-series of the VTA dopaminergic neurons exhibit long-range correlations with self-averaging behavior. This specific VTA phenomenon has no relation to VTA rewarding function. Last result reveals complex role of VTA in limbic brain.

Original languageEnglish
Pages (from-to)581-585
Number of pages5
JournalEuropean Physical Journal B
Volume30
Issue number4
DOIs
StatePublished - 2 Dec 2002

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 87.10.+e General theory and mathematical aspects
  • 87.17.-d Cellular structure and processes
  • 87.18.Sn Neural networks
  • 87.19.La Neuroscience

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