Spike-rate adaptation and neuronal bursting in a mean-field model of brain activity

Author(s)
Loxley, Peter
Robinson, P A
Publication Date
2007
Abstract
Spike-rate adaptation is investigated within a mean-field model of brain activity. Two different mechanisms of negative feedback are considered; one involving modulation of the mean firing threshold, and the other, modulation of the mean synaptic strength. Adaptation to a constant stimulus is shown to take place for both mechanisms, and limit-cycle oscillations in the firing rate corresponding to bursts of neuronal activity are investigated. These oscillations are found to result from a Hopf bifurcation when the equilibrium lies between the local maximum and local minimum of a given nullcline. Oscillations with amplitudes significantly below the maximum firing rate are found over a narrow range of possible equilibriums.
Citation
Biological Cybernetics, 97(2), p. 113-122
ISSN
1432-0770
0340-1200
Link
Publisher
Springer
Title
Spike-rate adaptation and neuronal bursting in a mean-field model of brain activity
Type of document
Journal Article
Entity Type
Publication

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