Linear Models of Impulse Inputs and Linear Basis Functions for Measuring Impulse Responses

  • Walter J. Freeman
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Abstract

Next I undertook systematic exploration of the behavioral correlates of this well defined generator of background and odor-induced EEG and electrically evoked potentials in waking cats by using arrays of permanently placed bipolar electrodes (Freeman 1960a,b), first by presenting different odorants to search for changes in amplitude and frequency distributions of the EEG, then by using different unconditioned stimuli to elicit reactions relating to hunger, thirst, rage and attack, fear and flight, sexual arousal, and stages of drowsiness and sleep. The only significant variations were in the amplitude of the EEG, which increased in the low-frequency range with sleep, and in the higher frequency gamma range (Bressler and Freeman 1980) with the degree of arousal and motivation. There were no patterns that were specific to either the odorant stimuli, or the responses to them, or the type of motivation. An exception was the suppression of bursts in the EEG with sneezing, yawning, sniffing, or other changes peculiar to respiratory patterns. Even in sleep there was only a modest increase in slow wave delta activity. These negative results were not very exciting.

Keywords

Covariance Respiration Coherence Neurol Sine 

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Copyright information

© Springer-Verlag London 2000

Authors and Affiliations

  • Walter J. Freeman
    • 1
  1. 1.Department of Molecular and Cell BiologyUniversity of CaliforniaBerkeleyUSA

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