Crossref journal-article
MIT Press - Journals
Neural Computation (281)
Abstract

We undertake a probabilistic analysis of the response of repetitively firing neural populations to simple pulselike stimuli. Recalling and extending results from the literature, we compute phase response curves (PRCs) valid near bifurcations to periodic firing for Hindmarsh-Rose, Hodgkin-Huxley, Fitz Hugh-Nagumo, and Morris-Lecar models, encompassing the four generic (codimension one) bifurcations. Phase density equations are then used to analyze the role of the bifurcation, and the resulting PRC, in responses to stimuli. In particular, we explore the interplay among stimulus duration, baseline firing frequency, and population-level response patterns. We interpret the results in terms of the signal processing measure of gain and discuss further applications and experimentally testable predictions.

Bibliography

Brown, E., Moehlis, J., & Holmes, P. (2004). On the Phase Reduction and Response Dynamics of Neural Oscillator Populations. Neural Computation, 16(4), 673–715.

Dates
Type When
Created 21 years, 6 months ago (March 1, 2004, 8:28 p.m.)
Deposited 4 years, 5 months ago (March 12, 2021, 4:50 p.m.)
Indexed 4 days, 21 hours ago (Aug. 30, 2025, 12:44 p.m.)
Issued 21 years, 5 months ago (April 1, 2004)
Published 21 years, 5 months ago (April 1, 2004)
Published Print 21 years, 5 months ago (April 1, 2004)
Funders 0

None

@article{Brown_2004, title={On the Phase Reduction and Response Dynamics of Neural Oscillator Populations}, volume={16}, ISSN={1530-888X}, url={http://dx.doi.org/10.1162/089976604322860668}, DOI={10.1162/089976604322860668}, number={4}, journal={Neural Computation}, publisher={MIT Press - Journals}, author={Brown, Eric and Moehlis, Jeff and Holmes, Philip}, year={2004}, month=apr, pages={673–715} }