Event-related dimensional reductions in the primary auditory cortex of the conscious cat are revealed by new techniques for enhancing the non-linear dimensional algorithms

James E. Skinner, M. Molnár

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

The analytic algorithms derived from non-linear deterministic models may be more sensitive to differences in physiological data than those based on linear stochastic models. Among the non-linear algorithms the time-dependent dimensional ones appear to be the most sensitive discriminators. In the present study dimensional responses were examined in both electronically and mathematically generated data and in high-resolution physiological data. The latter were event-related potentials (ERPs) recorded from the primary auditory cortex of cats during classical conditioning. Two techniques were found to lengthen and stabilize the linear scaling region in the correlation integral of the dimensional algorithms: (1) linking trials to increase data length; and (2) gain reduction to lower integer-values of noise, combined with algorithmic setting of slopes

Original languageEnglish
Pages (from-to)21-35
Number of pages15
JournalInternational Journal of Psychophysiology
Volume34
Issue number1
DOIs
Publication statusPublished - Oct 1 1999

Fingerprint

Auditory Cortex
Cats
Classical Conditioning
Nonlinear Dynamics
Evoked Potentials
Noise
Linear Models

Keywords

  • Auditory cortex
  • Chaos
  • Classical conditioning
  • Event-related potentials
  • Non-linear dynamics

ASJC Scopus subject areas

  • Behavioral Neuroscience

Cite this

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