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 all the CNS research labs are discussed and span the range from biology to engineering.
Speaker: Erik Winfree, PhD
Professor of Computer Science, Computation and Neural Systems, and Bioengineering
Speaker: Betty Hong, PhD
Assistant Professor of Neuroscience; Chen Scholar
Speaker: Carlos Lois, MD, PhD
Research Professor of Biology
Speaker: Lulu Qian, PhD
Professor of Bioengineering
Speaker: Matt Thomson, PhD
Assistant Professor of Computational Biology; Investigator, Heritage Medical Research Institute
Speaker: Thanos Siapas, PhD
Professor of Computation and Neural Systems; Executive Officer for Computation and Neural Systems
Speaker: Antonio Rangel, PhD
Bing Professor of Neuroscience, Behavioral Biology, and Economics; Head Faculty in Residence
Speaker 1: David Anderson, PhD
Seymour Benzer Professor of Biology
Speaker 2: Pietro Perona, PhD
Allen E. Puckett Professor of Electrical Engineering
Thanksgiving Break (No Speakers)
Speaker: David Prober, PhD
Professor of Biology
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.