Zobrazeno 1 - 10
of 395
pro vyhledávání: '"Faugeras, O."'
Autor:
Fasoli, D., Faugeras, O.
Using a perturbative expansion for weak synaptic weights and weak sources of randomness, we calculate the correlation structure of neural networks with generic connectivity matrices. In detail, the perturbative parameters are the mean and the standar
Externí odkaz:
http://arxiv.org/abs/1307.2798
Autor:
Fasoli, D., Faugeras, O.
We quantify the finite size effects in a stochastic network made up of rate neurons, for several kinds of recurrent connectivity matrices. This analysis is performed by means of a perturbative expansion of the neural equations, where the perturbative
Externí odkaz:
http://arxiv.org/abs/1307.2129
Autor:
Zisserman, Andrew, Liebowitz, David, Armstrong, Martin, Faugeras, O., Hartley, R. I., Kanade, T., Mundy, J. L., Triggs, W.
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 1998 May . 356(1740), 1193-1211.
Externí odkaz:
https://www.jstor.org/stable/54841
Autor:
Torr, P. H. S., Faugeras, O., Kanade, T., Hollinghurst, N., Lasenby, J., Sabin, M., Fitzgibbon, A.
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 1998 May . 356(1740), 1321-1340.
Externí odkaz:
https://www.jstor.org/stable/54848
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 1998 May . 356(1740), 1213-1231.
Externí odkaz:
https://www.jstor.org/stable/54842
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 1998 May . 356(1740), 1303-1320.
Externí odkaz:
https://www.jstor.org/stable/54847
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 1998 May . 356(1740), 1175-1192.
Externí odkaz:
https://www.jstor.org/stable/54840
Autor:
Cipolla, Roberto, Longuet-Higgins, H. C., Giblin, P., Torr, P. H. S., Faugeras, O., Fitzgibbon, A., Hunter, G., Hopper, A., Stark, K., Isard, M., Ihle, T.
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 1998 May . 356(1740), 1103-1121.
Externí odkaz:
https://www.jstor.org/stable/54837
Publikováno v:
In Journal of Computational Physics 2006 220(1):339-354
Publikováno v:
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena, 2017, 349, pp.27-45
Physica D: Nonlinear Phenomena, 2017, 349, pp.27-45
International audience; The Nunez model for the generation of electroencephalogram (EEG) signals is naturally described as a neural field model on a sphere with space-dependent delays. For simplicity, dynamical realisations of this model either as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::489bfd8effa410259a3a36d3c9668898
https://hal.science/hal-01414902
https://hal.science/hal-01414902