| Year |
Citation |
Score |
| 2020 |
Guillot A, Meyer J. L’or vert Quand les plantes inspirent l’innovation ActualitéS Pharmaceutiques. 59: 8. DOI: 10.1016/S0515-3700(20)30248-2 |
0.534 |
|
| 2018 |
Dollé L, Chavarriaga R, Guillot A, Khamassi M. Interactions of spatial strategies producing generalization gradient and blocking: A computational approach. Plos Computational Biology. 14: e1006092. PMID 29630600 DOI: 10.1371/Journal.Pcbi.1006092 |
0.721 |
|
| 2010 |
Dollé L, Sheynikhovich D, Girard B, Chavarriaga R, Guillot A. Path planning versus cue responding: a bio-inspired model of switching between navigation strategies. Biological Cybernetics. 103: 299-317. PMID 20617443 DOI: 10.1007/S00422-010-0400-Z |
0.711 |
|
| 2010 |
Liènard J, Guillot A, Girard B. Multi-objective evolutionary algorithms to investigate neurocomputational issues: The case study of basal ganglia models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6226: 597-606. DOI: 10.1007/978-3-642-15193-4_56 |
0.651 |
|
| 2010 |
Dollé L, Sheynikhovich D, Girard B, Ujfalussy B, Chavarriaga R, Guillot A. Analyzing interactions between cue-guided and place-based navigation with a computational model of action selection: Influence of sensory cues and training Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6226: 335-346. DOI: 10.1007/978-3-642-15193-4_32 |
0.751 |
|
| 2010 |
Bernard M, N'Guyen S, Pirim P, Guillot A, Meyer JA, Gas B. A supramodal vibrissa tactile and auditory model for texture recognition Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6226: 188-198. DOI: 10.1007/978-3-642-15193-4_18 |
0.725 |
|
| 2008 |
Dollé L, Khamassi M, Girard B, Guillot A, Chavarriaga R. Analyzing interactions between navigation strategies using a computational model of action selection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5248: 71-86. DOI: 10.1007/978-3-540-87601-4_8 |
0.711 |
|
| 2006 |
Khamassi M, Martinet LE, Guillot A. Combining self-organizing maps with mixtures of experts: Application to an actor-critic model of reinforcement learning in the basal ganglia Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4095: 394-405. |
0.722 |
|
| 2005 |
Khamassi M, Lachèze L, Girard B, Berthoz A, Guillot A. Actor-critic models of reinforcement learning in the basal ganglia: From natural to artificial rats Adaptive Behavior. 13: 131-148. DOI: 10.1177/105971230501300205 |
0.751 |
|
| 2005 |
Girard B, Filliat D, Meyer JA, Berthoz A, Guillot A. Integration of navigation and action selection functionalities in a computational model of cortico-basal-ganglia-thalamo-cortical loops Adaptive Behavior. 13: 115-130. DOI: 10.1177/105971230501300204 |
0.74 |
|
| 2005 |
Meyer JA, Guillot A. Editorial: Special issue on artificial rodents Adaptive Behavior. 13: 85-86. DOI: 10.1177/105971230501300201 |
0.563 |
|
| 2005 |
Guillot A, Meyer JA. Robotics and Autonomous Systems: Editorial Robotics and Autonomous Systems. 50: 129-130. DOI: 10.1016/j.robot.2004.10.001 |
0.552 |
|
| 2005 |
Meyer JA, Guillot A, Girard B, Khamassi M, Pirim P, Berthoz A. The Psikharpax project: Towards building an artificial rat Robotics and Autonomous Systems. 50: 211-223. DOI: 10.1016/J.Robot.2004.09.018 |
0.721 |
|
| 2003 |
Girard B, Cuzin V, Guillot A, Gurney KN, Prescott TJ. A basal ganglia inspired model of action selection evaluated in a robotic survival task. Journal of Integrative Neuroscience. 2: 179-200. PMID 15011270 DOI: 10.1142/S0219635203000299 |
0.585 |
|
| 2003 |
Cagnoni S, Cardalda JJR, Corne DW, Gottlieb J, Guillot A, Hart E, Johnson CG, Marchiori E, Meyer JA, Middendorf M, Raidl GR. Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2611: vii-ix. DOI: 10.1007/3-540-64957-3 |
0.482 |
|
| 2001 |
Guillot A, Meyer JA. The animat contribution to cognitive systems research Cognitive Systems Research. 2: 157-165. DOI: 10.1016/S1389-0417(01)00019-5 |
0.593 |
|
| 2000 |
Guillot A, Meyer J. Nonlinear Dynamics, Psychology, and Life Sciences. 4: 297-309. DOI: 10.1023/A:1009584106836 |
0.598 |
|
| 1997 |
Guillot A, Meyer JA. A cost-benefit analysis of behavioural sequence organization in laboratory mice Ethology Ecology and Evolution. 9: 119-132. |
0.526 |
|
| 1995 |
Guillot A, Meyer JA. A functional analysis of ultradian activity in laboratory mice Ethology Ecology and Evolution. 7: 205-219. DOI: 10.1080/08927014.1995.9522951 |
0.583 |
|
| 1991 |
Meyer JA, Guillot A. Rule induction from examples for expert systems in mouse behavior. Behavioural Processes. 22: 197-212. PMID 24897180 DOI: 10.1016/0376-6357(91)90094-G |
0.594 |
|
| 1989 |
Hazout S, Guillot A, Meyer JA. Extraction of melodies in behavioural sequences. Behavioural Processes. 20: 61-73. PMID 24925781 DOI: 10.1016/0376-6357(89)90012-0 |
0.569 |
|
| 1987 |
Guillot A, Meyer JA. A test of the Booth energy flow model (Mark 3) on feeding patterns of mice. Appetite. 8: 67-78. PMID 3566264 DOI: 10.1016/S0195-6663(87)80028-4 |
0.608 |
|
| 1986 |
Meyer JA, Guillot A. The energetic cost of various behaviors in the laboratory mouse. Comparative Biochemistry and Physiology. a, Comparative Physiology. 83: 533-8. PMID 2870847 DOI: 10.1016/0300-9629(86)90141-6 |
0.569 |
|
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