| Year |
Citation |
Score |
| 2017 |
Cessac B, Kornprobst P, Kraria S, Nasser H, Pamplona D, Portelli G, Viéville T. PRANAS: A New Platform for Retinal Analysis and Simulation. Frontiers in Neuroinformatics. 11: 49. PMID 28919854 DOI: 10.3389/Fninf.2017.00049 |
0.713 |
|
| 2012 |
Rostro-Gonzalez H, Cessac B, Vieville T. Parameter estimation in spiking neural networks: a reverse-engineering approach. Journal of Neural Engineering. 9: 026024. PMID 22419215 DOI: 10.1088/1741-2560/9/2/026024 |
0.732 |
|
| 2012 |
Cessac B, Salas R, Viéville T. Using event-based metric for event-based neural network weight adjustment Esann 2012 Proceedings, 20th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 591-596. |
0.591 |
|
| 2009 |
Rostro-Gonzalez H, Cessac B, Vasquez JC, Viéville T. Back-engineering of spiking neural networks parameters Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P289 |
0.676 |
|
| 2009 |
Cessac B, Viéville T. Parametric estimation of spike train statistics Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P165 |
0.646 |
|
| 2009 |
Escobar MJ, Masson GS, Vieville T, Kornprobst P. Action recognition using a bio-inspired feedforward spiking network International Journal of Computer Vision. 82: 284-301. DOI: 10.1007/S11263-008-0201-1 |
0.745 |
|
| 2009 |
Cessac B, Rostro H, Vasquez JC, Viéville T. How Gibbs distributions may naturally arise from synaptic adaptation mechanisms. A model-based argumentation Journal of Statistical Physics. 136: 565-602. DOI: 10.1007/S10955-009-9786-1 |
0.645 |
|
| 2008 |
Cessac B, Viéville T. On dynamics of integrate-and-fire neural networks with conductance based synapses. Frontiers in Computational Neuroscience. 2: 2. PMID 18946532 DOI: 10.3389/Neuro.10.002.2008 |
0.677 |
|
| 2007 |
Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, Goodman PH, Harris FC, Zirpe M, Natschläger T, Pecevski D, Ermentrout B, Djurfeldt M, et al. Simulation of networks of spiking neurons: a review of tools and strategies. Journal of Computational Neuroscience. 23: 349-98. PMID 17629781 DOI: 10.1007/S10827-007-0038-6 |
0.301 |
|
| 2007 |
Cessac B, Viéville T. Revisiting time discretisation of spiking network models Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P76 |
0.68 |
|
| 2007 |
Rochel O, Kornprobst P, Vieville T. Experimenting the variational definition of neural map computation Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P179 |
0.689 |
|
| 2007 |
Escobar M, Kornprobst P, Vieville T. Spike to spike MT model and applications Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P150 |
0.717 |
|
| 2007 |
Chemla S, Chavane F, Vieville T, Kornprobst P. Biophysical cortical column model for optical signal analysis Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P140 |
0.723 |
|
| 2006 |
Escobar MJ, Wohrer A, Kornprobst P, Viéville T. Biological motion recognition using a MT-like model 3rd Ieee Latin American Robotics Symposium, Lars'06. 47-52. DOI: 10.1109/LARS.2006.334317 |
0.677 |
|
| 2006 |
Wohrer A, Kornprobst P, Viéville T. From light to spikes: A large-scale retina simulator Ieee International Conference On Neural Networks - Conference Proceedings. 4562-4570. |
0.688 |
|
| 2006 |
Viéville T, Kornprobst P. Modeling cortical maps with feed-backs Ieee International Conference On Neural Networks - Conference Proceedings. 110-117. |
0.684 |
|
| 2004 |
Peeters RR, Kornprobst P, Nikolova M, Sunaert S, Vieville T, Malandain G, Deriche R, Faugeras O, Ng M, Van Hecke P. The use of super-resolution techniques to reduce slice thickness in functional MRI International Journal of Imaging Systems and Technology. 14: 131-138. DOI: 10.1002/Ima.20016 |
0.674 |
|
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