Computational Neuroscience: Vision

July 9 - 23, 2024

Applications Due: March 15, 2024

Instructors

Emily Cooper, University of California Berkeley

Jonathan Pillow, Princeton University

John Serences, University of California, San Diego

Hands-on Experience with

• MATLAB- and Python-based computer tutorials and projects 
• Visual information processing from the retina to higher cortical areas 
• Spatial pattern analysis 
• Motion analysis 
• Neuronal coding and decoding 
• Attention 
• Decision-making

2024 Lecturers

Emma Alexander, Northwestern University

Mariam Aly, Columbia University

Kathryn Bonnen, Indiana University

EJ Chichilnisky, Stanford University

Marlene Cohen, University of Chicago

Rachel Denison, Boston University

Lea Duncker, Stanford University

Ione Fine, University of Washington

Lindsey Glickfeld, Duke University

Jennifer Groh, Duke University

Kohitij Kar, York University

Taraz Lee, University of Michigan

J. Anthony Movshon, New York University

Stephanie Palmer, University of Chicago

Ruth Rosenholtz, M.I.T.

Madineh Sedigh-Sarvestani, Cornell University

Eero Simoncelli, New York University/Flatiron Institute

Stefan Treue, Universität Göttingen - German Primate Center, Germany

Jacob Yates, UC Berkeley

For further information and to register please visit the Computational Neuroscience: Vision course website.