How does the brain compute? Can we endow machines with brain-like computational capability? Faculty and students in the Computation and Neural Systems (CNS) program ask these questions with the goal of understanding the brain and designing systems that show the same degree of autonomy and adaptability as biological systems.
This course is designed to introduce undergraduate and first-year CNS graduate students to the wide variety of research being undertaken by CNS faculty. Topics from CNS research labs are discussed and span the range from biology to engineering.
Speaker: Carlos Lois, MD, PhD
Research Professor of Biology; T&C Chen Center for Neuroscience Education Director
Speaker: Elizabeth (Betty) J. Hong, PhD
Professor of Neuroscience; Chen Scholar
Speaker: Thanos Siapas, PhD
Professor of Computation and Neural Systems; Executive Officer for Computation and Neural
Systems
Speaker: David Prober, PhD
Professor of Biology
Speaker: Matt Thomson, PhD
Assistant Professor of Computational Biology; Investigator, Heritage Medical Research
Institute
Speaker: Shinsuke (Shin) Shimojo, PhD
Gertrude Baltimore Professor of Experimental Psychology
Speaker: Georgia Gkioxari, PhD
Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering;
William H. Hurt scholar
Speaker: David Anderson, PhD
Seymour Benzer Professor of Biology
*Absences are excused due to a change in the day of class.
Thanksgiving Break (No Speakers)
Speaker: Michael B. Elowitz, PhD
Professor of Biology and Bioengineering; Investigator, Howard Hughes Medical Institute
Speaker: Richard A. Andersen, PhD
James G. Boswell Professor of Neuroscience; T&C Chen Brain-Machine Interface Center
Leadership Chair; Director, T&C Chen Brain-Machine Interface Center
This course is graded on a pass/fail basis. Course registrants are expected to arrive on time. Graduate and undergraduate students have one unexcused absence to receive passing marks. Permission from the instructor is required beyond one absence.