Computational Neuroscience: Vision
July 12 - 25, 2020
Application Deadline: March 15, 2020

Instructors:

Geoffrey Boynton, University of Washington
Marlene Cohen, University of Pittsburgh
Jonathan Pillow, Princeton University

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COVID-19: We are closely monitoring the COVID-19 situation as it evolves, following CDC guidelines to ensure the safety and well-being of our participants and staff. Advisory

As of March 3rd, CSHL has postponed or canceled all upcoming scientific conferences and courses bringing participants to campus through April 5th, and we are evaluating future events on a rolling basis. 

Participants from CDC Warning Level 3 countries are being advised to cancel their participation unless they can demonstrate having departed the area at least two weeks prior to their visit to CSHL. 

We anticipate making a decision about this course and communicating to all participants soon.

Travel Plans: If you have not already made travel arrangements, we would recommend holding off on that until after our decision is announced. 

Travel Insurance Tip: CSHL recommends that all participants look into the possibility of extended travel insurance, for example, Cancel for Any Reason Travel Insurance (CFAR).

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See prior course alumni

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. Key focus areas of the workshop will include:

2020 Guest Lecturers Include:

Michele A Basso, University of California, Los Angeles

Elizabeth A Buffalo, University of Washington School of Medicine

Johannes  Burge, University of Pennsylvania

EJ  Chichilnisky, Stanford University

Anne K Churchland, Cold Spring Harbor Laboratory

Ed  Connor, Johns Hopkins University

James J DiCarlo, MIT

Felice A Dunn,  University of California, San Francisco 

Tatiana A Engel, Cold Spring Harbor Laboratory

Ione  Fine, University of Washington

Lindsey  Glickfeld, Duke University

Joshua I Gold, University of Pennsylvania

Jennifer  Groh, Duke University

Gregory D Horwitz, University of Washington

J. Anthony  Movshon, New York University

Jenny  Read, Newcastle University

John  Serences, University of California, San Diego

Eero  Simoncelli, New York University

Stefan  Treue, Universität Göttingen - German Primate Center



The course will be held at the Laboratory’s Banbury Conference Center located on the north shore of Long Island. All participants stay within walking distance of the Center, close to tennis court, pool and private beach.

Support & Stipends

Major support provided by the Helmsley Charitable Trust and Howard Hughes Medical Institute

         

Stipends are available to offset tuition costs as follows:

Interdisciplinary Fellowships (transitioning from outside biology)  & Scholarships (transitioning from other biological disciplines) (Helmsley Charitable Trust)
Domestic/International applicants (Howard Hughes Medical Institute)

Scientists from developing countries accepted into this course may be eligible for scholarships provided by the International Brain Research Organization.

Please indicate your eligibility for funding in your stipend request submitted when you apply to the course. Stipend requests do not affect selection decisions made by the  instructors. 

Cost (including board and lodging): $4,075  

No fees are due until you have completed the full application process and are accepted into the course. Students accepted into the course should plan to arrive by early evening on Saturday July 11 and plan to depart in the morning of Saturday July 25.

Before applying, ensure you have 1) Personal statement/essay; 2) Letter(s) of recommendation; 3) Curriculum vitae/resume (optional); 4) Financial aid request (optional). More details


If you are not ready to fully apply but wish to express interest in applying, receive a reminder two weeks prior to the deadline, and tell us about your financial aid requirements, click below: