Extracting non-linear integrate-and-fire models from experimental data using dynamic I–V curves-Reference-Cited by-同舟云学术

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Extracting non-linear integrate-and-fire models from experimental data using dynamic I–V curves

Published:2008-11 Issue:4-5 Volume:99 Page:361-370
ISSN:0340-1200
Container-title:Biological Cybernetics
language:en
Short-container-title:Biol Cybern

Author:

Badel Laurent,Lefort Sandrine,Berger Thomas K.,Petersen Carl C. H.,Gerstner Wulfram,Richardson Magnus J. E.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s00422-008-0259-4.pdf

Reference28 articles.

1. Badel L, Lefort S, Brette R, Petersen CCH, Gerstner W, Richardson MJE (2008) Dynamic I–V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. J. Neurophysiol. 99: 656–666

2. Brette R, Gerstner W (2005) Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J. Neurophysiol. 94: 3637–3642

3. Brunel N, Hakim V (1999) Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural Comput. 11: 1621–1671

4. Brunel N, Wang X-J (2003) What determines the frequency of fast network oscillations with irregular neural discharges. J. Neurophysiol. 90: 415–430

5. Brunel N, Hakim V, Richardson MJE (2003) Firing-rate resonance in a generalized integrate-and-fire neuron with subthreshold resonance. Phys Rev E 67. article-no 051916

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