rllis12

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(registration is closed) 

Open to students, faculty, staff. 
Pre-registration required (max. 25 people). 
Experience with Matlab or 
programming languages required.


For more information
contact José
jf3@princeton.edu

Lisbon Reinforcement Learning and Neuroscience Course

November 26-30 2012, Champalimaud Centre for the Unknown 


Since the 1990s, Reinforcement Learning has been pivotal in providing ideas for models of learning and decision making.
The most successful example is the understanding the activity of phasic dopaminergic neurons, but there are many more neural and behavioral applications. 
It is the aim of this course to give the foundations of the models, with a hands-on approach, while making the connection to relevant concepts in psychology and neuroscience.


Invited lecturers

  Nathaniel Daw, Center for Neural Science, New York University

  Tiago Maia, Department of Psychiatry, Columbia University, and School of Medicine, University of Lisbon

Instructors

  Thomas Akam, Champalimaud Neuroscience Programme

  Eric DeWitt, Champalimaud Neuroscience Programme

  Carlos Diuk, Princeton Neuroscience Institute

  Elliot Ludvig, Princeton Neuroscience Institute

  Joe Paton, Champalimaud Neuroscience Programme

  José Ribas-Fernandes, Princeton Neuroscience Institute and Champalimaud Neuroscience Programme

Subpages (1): RL and Neuroscience V