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Olivier Codol

Showing results (1-10 of 13) with videos related to

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Neural Computation|June 7, 2022
Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal GangliaOlivier Codol, Paul L Gribble, Kevin N Gurney
Nature Neuroscience|March 1, 2020
Aiming for stable controlOlivier Codol, Giacomo Ariani, Jonathan A Michaels
Journal of Neurophysiology|March 15, 2018
Contribution of explicit processes to reinforcement-based motor learningPeter Holland, Olivier Codol, Joseph M Galea
Scientific Reports|June 16, 2018
The relationship between reinforcement and explicit control during visuomotor adaptationOlivier Codol, Peter J Holland, Joseph M Galea
Experimental Brain Research|April 11, 2020
Reward-driven enhancements in motor control are robust to TMS manipulationOlivier Codol, Joseph M Galea, Roya Jalali, et al.
Elife|May 13, 2026
A context-free model of savings in motor learningMahdiyar Shahbazi, Olivier Codol, Jonathan A Michaels, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 3, 2020
Reward-Based Improvements in Motor Control Are Driven by Multiple Error-Reducing MechanismsOlivier Codol, Peter J Holland, Sanjay G Manohar, et al.
Elife|July 30, 2024
MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networksOlivier Codol, Jonathan A Michaels, Mehrdad Kashefi, et al.
Elife|January 13, 2023
Sensorimotor feedback loops are selectively sensitive to rewardOlivier Codol, Mehrdad Kashefi, Christopher J Forgaard, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 13, 2019
Domain-Specific Working Memory, But Not Dopamine-Related Genetic Variability, Shapes Reward-Based Motor LearningPeter Holland, Olivier Codol, Elizabeth Oxley, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Neural Computation|June 7, 2022
Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal GangliaOlivier Codol, Paul L Gribble, Kevin N Gurney
Nature Neuroscience|March 1, 2020
Aiming for stable controlOlivier Codol, Giacomo Ariani, Jonathan A Michaels
Journal of Neurophysiology|March 15, 2018
Contribution of explicit processes to reinforcement-based motor learningPeter Holland, Olivier Codol, Joseph M Galea
Scientific Reports|June 16, 2018
The relationship between reinforcement and explicit control during visuomotor adaptationOlivier Codol, Peter J Holland, Joseph M Galea
Experimental Brain Research|April 11, 2020
Reward-driven enhancements in motor control are robust to TMS manipulationOlivier Codol, Joseph M Galea, Roya Jalali, et al.
Elife|May 13, 2026
A context-free model of savings in motor learningMahdiyar Shahbazi, Olivier Codol, Jonathan A Michaels, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 3, 2020
Reward-Based Improvements in Motor Control Are Driven by Multiple Error-Reducing MechanismsOlivier Codol, Peter J Holland, Sanjay G Manohar, et al.
Elife|July 30, 2024
MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networksOlivier Codol, Jonathan A Michaels, Mehrdad Kashefi, et al.
Elife|January 13, 2023
Sensorimotor feedback loops are selectively sensitive to rewardOlivier Codol, Mehrdad Kashefi, Christopher J Forgaard, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 13, 2019
Domain-Specific Working Memory, But Not Dopamine-Related Genetic Variability, Shapes Reward-Based Motor LearningPeter Holland, Olivier Codol, Elizabeth Oxley, et al.
Pageof 2