(Tuesday) 14:00 - 15:00
Pam Liversidge Building, F12
Dr Benoît Girard "Function agnostic basal ganglia models, which perform action selection and oscillate under dopamine depletion." Insitut des Systèmes Intelligents et de Robotique (ISIR) at Sorbonne Université Abstract The
Dr Benoît Girard
“Function agnostic basal ganglia models, which perform action selection and oscillate under dopamine depletion.”
Insitut des Systèmes Intelligents et de Robotique (ISIR) at Sorbonne Université
The basal ganglia (BG) are a set of interconnected subcortical nuclei thought to play a fundamental role in action selection and reinforcement learning in vertebrates. They are involved in many neurodegenerative diseases, including Parkinson’s. The circuitry of the basal ganglia has a complex connectivity, which is still an object of active investigation. For more than 25 years now, the prevailing interpretation of this connectivity has been based on the idea that they were organized in two main segregated pathways (a direct and an indirect one). It has however been shown in monkeys that the segregation of these two pathways is not the rule. This contradiction is of importance, as the prominent theories about the basal ganglia functions and dysfunctions rely on such a strict segregation.
I will present the mean-field computational model of the macaque monkey basal ganglia we developed in 2014, its main characteristics (absence of segregated pathways, parameterization extensively based on biological data) and results of interest (emerging ability of selection, oscillatory dynamics in Parkinson’s disease). I will then present the preliminary results so far obtained in replicating this work at a spiking neuron level of modeling.
Benoît Girard is a research director at the CNRS, working in the Insitut des Systèmes Intelligents et de Robotique (ISIR) at Sorbonne Université. His research interest deal with decision making, action selection and reinforcement learning processes, in vertebrates and robots.