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Computational Neuroscience: Vision

 
  December 29, 2017  
     
 


Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
July 9 - 22, 2018


Computational approaches to neuroscience will produce important advances in our understanding of neural processing. Prominent success will come in areas where strong inputs from neurobiological, behavioral and computational investigation can interact. The theme of the course is that an understanding of the computational problems, the constraints on solutions to these problems, and the range of possible solutions can help guide research in neuroscience. Through a combination of lectures and hands-on experience with MATLAB-based computer tutorials and projects, this intensive course will examine visual information processing from the retina to higher cortical areas, spatial pattern analysis, motion analysis, neuronal coding and decoding, attention, and decision-making. 
 
 
Organized by: Instructors: Geoffrey Boynton, Marlene Cohen, Gregory Horwitz, Jonathan Pillow
Invited Speakers: TBA
 
Deadline for Abstracts: March 31 2018
 
Registration: Apply here 
E-mail: afranco@cshl.edu
 
 
   
 
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