| Year |
Citation |
Score |
| 2007 |
Samuelides M, Cessac B. Random recurrent neural networks dynamics European Physical Journal: Special Topics. 142: 89-122. DOI: 10.1140/Epjst/E2007-00059-1 |
0.699 |
|
| 2007 |
Cessac B, Samuelides M. From neuron to neural networks dynamics European Physical Journal: Special Topics. 142: 7-88. DOI: 10.1140/Epjst/E2007-00058-2 |
0.684 |
|
| 2007 |
Cessac B, Daucé E, Perrinet L, Samuelides M. Introduction European Physical Journal: Special Topics. 142: 1-5. DOI: 10.1140/epjst/e2007-00057-3 |
0.624 |
|
| 2005 |
Zenou E, Samuelides M. Characterizing image sets using formal concept analysis Eurasip Journal On Applied Signal Processing. 2005: 1931-1938. DOI: 10.1155/Asp.2005.1931 |
0.314 |
|
| 2005 |
Samuelides M. Neural identification of controlled dynamical systems and recurrent networks Neural Networks: Methodology and Applications. 231-287. DOI: 10.1007/3-540-28847-3_4 |
0.349 |
|
| 2004 |
Perrinet L, Samuelides M, Thorpe S. Coding static natural images using spiking event times: do neurons cooperate? Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 1164-75. PMID 15484892 DOI: 10.1109/Tnn.2004.833303 |
0.668 |
|
| 2004 |
Perrinet L, Samuelides M, Thorpe S. Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit Neurocomputing. 57: 125-134. DOI: 10.1016/J.Neucom.2004.01.010 |
0.68 |
|
| 2002 |
Perrinet L, Samuelides M. Coherence detection in a spiking neuron via Hebbian learning Neurocomputing. 44: 133-139. DOI: 10.1016/S0925-2312(02)00374-0 |
0.636 |
|
| 2002 |
Moynot O, Samuelides M. Large deviations and mean-field theory for asymmetric random recurrent neural networks Probability Theory and Related Fields. 123: 41-75. DOI: 10.1007/s004400100182 |
0.338 |
|
| 2001 |
Dauce E, Moynot O, Pinaud O, Samuelides M. Mean-field theory and synchronization in random recurrent neural networks Neural Processing Letters. 14: 115-126. DOI: 10.1023/A:1012435207437 |
0.496 |
|
| 2001 |
Perrinet L, Delorme A, Samuelides M, Thorpe SJ. Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity Neurocomputing. 38: 817-822. DOI: 10.1016/S0925-2312(01)00460-X |
0.722 |
|
| 1999 |
Vaccaro J, Gourion D, Samuelides M, Thorpe S. Rank-based Hebbian learning in a multi-layered neural network Proceedings of Spie - the International Society For Optical Engineering. 3728: 301-315. |
0.543 |
|
| 1998 |
Samuelides M, Doyon B, Cessac B, Quoy M, Dauce E. Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. Neural Networks : the Official Journal of the International Neural Network Society. 11: 521-533. PMID 12662827 DOI: 10.1016/S0893-6080(97)00131-7 |
0.668 |
|
| 1997 |
Samuelides M, Thorpe S, Veneau E. Implementing Hebbian learning in a rank-based neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 146-150. |
0.553 |
|
| 1996 |
Tarr GL, Carreras RA, DeHainaut CR, Clastres X, Freyss L, Samuelides M. Intelligent sensors research using pulse-coupled neural networks for focal plane image processing Proceedings of Spie - the International Society For Optical Engineering. 2760: 534-542. DOI: 10.1117/12.235942 |
0.37 |
|
| 1995 |
Doyon B, Cessac B, Quoy M, Samuelides M. Mean-field equations, bifurcation map and chaos in discrete time, continuous state, random neural networks. Acta Biotheoretica. 43: 169-75. PMID 7709685 DOI: 10.1007/Bf00709441 |
0.686 |
|
| 1994 |
Cessac B, Doyon B, Quoy M, Samuelides M. Mean-field equations, bifurcation map and route to chaos in discrete time neural networks Physica D: Nonlinear Phenomena. 74: 24-44. DOI: 10.1016/0167-2789(94)90024-8 |
0.683 |
|
| 1994 |
Doyon B, Cessac B, Quoy M, Samuelides M. On bifurcations and chaos in random neural networks Acta Biotheoretica. 42: 215-225. DOI: 10.1007/Bf00709492 |
0.695 |
|
| 1993 |
DOYON B, CESSAC B, QUOY M, SAMUELIDES M. CONTROL OF THE TRANSITION TO CHAOS IN NEURAL NETWORKS WITH RANDOM CONNECTIVITY International Journal of Bifurcation and Chaos. 3: 279-291. DOI: 10.1142/S0218127493000222 |
0.689 |
|
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