Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Vieville T"'
We consider the evolution of a network of neurons, focusing on the asymptotic behavior of spikes dynamics instead of membrane potential dynamics. The spike response is not sought as a deterministic response in this context, but as a conditional proba
Externí odkaz:
http://arxiv.org/abs/1003.3157
Publikováno v:
J. Neural Eng. 9 (2012) 026024
We consider the deterministic evolution of a time-discretized spiking network of neurons with connection weights having delays, modeled as a discretized neural network of the generalized integrate and fire (gIF) type. The purpose is to study a class
Externí odkaz:
http://arxiv.org/abs/0905.4810
Publikováno v:
J. Stat. Phys,136, (3), 565-602 (2009)
This paper addresses two questions in the context of neuronal networks dynamics, using methods from dynamical systems theory and statistical physics: (i) How to characterize the statistical properties of sequences of action potentials ("spike trains"
Externí odkaz:
http://arxiv.org/abs/0812.3899
We introduce a mathematical framework where the statistics of spikes trains, produced by neural networks evolving under synaptic plasticity, can be analysed.
Comment: 6 pages, 1 figure, proceeding of the NeuroComp 2008 conference
Comment: 6 pages, 1 figure, proceeding of the NeuroComp 2008 conference
Externí odkaz:
http://arxiv.org/abs/0810.3983
Autor:
Cessac, B., Vieville, T.
Publikováno v:
Front. Comput. Neurosci. (2008) 2:2
We present a mathematical analysis of a networks with Integrate-and-Fire neurons and adaptive conductances. Taking into account the realistic fact that the spike time is only known within some \textit{finite} precision, we propose a model where spike
Externí odkaz:
http://arxiv.org/abs/0709.4370
Autor:
Vieville, T., Cessac, B.
This paper has been withdrawn. Its main conclusions have been published in "On dynamics of integrate-and-fi re neural networks with conductance based synapses", arXiv:0709.4370 and http://www.frontiersin.org/computational_neuroscience/10.3389/neuro.1
Externí odkaz:
http://arxiv.org/abs/0709.4367
Autor:
Brette, R., Rudolph, M., Carnevale, T., Hines, M., Beeman, D., Bower, J. M., Diesmann, M., Morrison, A., Goodman, P. H., Harris Jr., F. C., Zirpe, M., Natschlager, T., Pecevski, D., Ermentrout, B., Djurfeldt, M., Lansner, A., Rochel, O., Vieville, T., Muller, E., Davison, A. P., Boustani, S. El, Destexhe, A.
Publikováno v:
Journal of Computational Neuroscience 2007 Dec;23(3):349-98. Epub 2007 Jul 12
We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently implemented. We next review the precision of those simulation strategies, i
Externí odkaz:
http://arxiv.org/abs/q-bio/0611089
Autor:
Faugeras, Olivier, Papadopoulo, Theodore, Triggs, W., Vieville, T., Lasenby, J., Hartley, R. I.
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 1998 May . 356(1740), 1123-1152.
Externí odkaz:
https://www.jstor.org/stable/54838
Autor:
Von Baumgarten, R., Benson, A., Berthoz, A., Brand, U., Bruzek, W., Dichgans, J., Kass, J., Scherer, H., Vieville, T., Vogel, H., Wetzig, J.
Publikováno v:
Science, 1984 Jul . 225(4658), 208-212.
Externí odkaz:
https://www.jstor.org/stable/1693121