-------- Message original -------- Sujet: Math-Neuro lecture on Oct 4th: Basal Ganglia and Reinforcement Learning Date: Mon, 1 Oct 2007 12:55:15 -0400 De: Paul Cisek paul.cisek@umontreal.ca Répondre à :: Paul Cisek paul.cisek@umontreal.ca

Hello everyone,

This Thursday, we will have a Math-Neuro meeting in which Francois Rivest will give us a presentation on models of reinforcement learning. Here is the abstract:

"Over the past 10 years, a set of computationnel models coming from reinforcement learning have gained popularity in modeling of dopaminergic neurons phasic signal (Montague, Schultz, Daw, & others). These models allow making a number of hypotheses about possible roles of the basal ganglia (especially striatum) and about local plasticity. In this presentation, I will introduce the actor-critic temporal-difference learning family of algorithm that has been used to model the phasic dopaminergic neuron signal. I will concentrate on explaining how this algorithm works with minimal mathematics, and as many examples as possible. I hope to generate some discussion with people working on dopaminergic or basal ganglia neurons."

Our meeting will take place in room 1120 of Pavillon Paul-Desmarais (2960 chemin de la tour) from 13h30 to 15h00 on Thursday, October 4th.

Hope to see you there, Paul

P.S. Trevor, Louis-Eric, Peter: I thought you and/or your students might be interested as well.

-----------------------------------------------

Paul Cisek, Ph.D. Department of physiology, room 4141 University of Montreal C.P. 6128 Succursale Centre-ville Montreal QC H3C 3J7 Canada phone: 514-343-6111 x4355 FAX: 514-343-2111 email: paul.cisek@umontreal.ca mailto:paul.cisek@umontreal.ca

-----------------------------------------------