Computational & Cognitive Neuroscience Summer School 2019
We are pleased to announce the 9th Computational and Cognitive Neuroscience (CCN) Summer School which will take place June 29 - July 21, 2019 in Suzhou, China. Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale systems and machine-learning approaches. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. Course information and application instructions are available on the CCN Summer School website: www.ccnss.org Applications are being accepted through the Cold Spring Harbor Asia website: http://www.csh-asia.org/summerschool_SCOSYNEinstruct.html The application deadline is March 8, 2019. Faculty: Carlos Brody (Princeton) Bob Desimone (MIT) Bard Ermentrout (Pitt) Winrich Freiwald (Rockefeller) Biyu He (NYU) Sukbin Lim (NYU) John Murray (Yale) Jascha Sohl-Dickstein (Google Brain) Jon Winawer (NYU) Byron Yu (CMU) Organizers: Dora Angelaki (NYU) Xiao-Jing Wang (NYU) Christopher Honey (Johns Hopkins) Robert Guangyu Yang (Columbia) Feel free to direct any questions to Chris Honey ( chris.honey@jhu.edu ) and Robert Guangyu Yang ( robert.yang@columbia.edu ).
participants (1)
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Christopher Honey