Nicolas Tabareau
Collège de France, Centre National de la Recherche Scientifique
Papers
2
Total Citations
76
H-Index
2
About
Nicolas Tabareau is a leading researcher at the intersection of computational neuroscience and autonomous robotics. His work focuses on understanding how neural circuits govern complex behaviors and translating those principles into robotic systems. His most influential contribution is a contracting basal ganglia model for action selection, which bridges dynamic systems theory and neuroscience—a paper that has garnered 57 citations and remains foundational for researchers studying decision-making in autonomous agents. In another highly regarded study (19 citations), Tabareau implemented a neurophysiological model of saccadic eye movements on an anthropomorphic robotic head, demonstrating how robotic platforms can serve as powerful tools for validating and refining brainstem circuitry models. This work exemplifies his broader impact: using embodied robotics to test hypotheses about neural control, from gaze generation to motor selection. Tabareau’s research is notable for its interdisciplinary rigor, offering both theoretical insights into neural computation and practical blueprints for more adaptive, biologically inspired robots. His contributions continue to inspire students and researchers at the nexus of neuroscience, control theory, and robotics.
Research Focus
Key Achievements
Top Papers
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