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

Title
Spike-rate adaptation and neuronal bursting in a mean-field model of brain activity
Publication Date
2007
Author(s)
Loxley, Peter
( author )
OrcID: https://orcid.org/0000-0003-3659-734X
Email: ploxley@une.edu.au
UNE Id une-id:ploxley
Robinson, P A
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Springer
Place of publication
Germany
DOI
10.1007/s00422-007-0157-1
UNE publication id
une:21384
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.
Link
Citation
Biological Cybernetics, 97(2), p. 113-122
ISSN
1432-0770
0340-1200
Start page
113
End page
122

Files:

NameSizeformatDescriptionLink