Special Topics: Computational Neuroscience
Course Number: NEURL-GA 3042
Prerequisites: Math Tools (NEURL-GA.2201) and Systems Neuroscience (NEURL-GA2202), or permission by the course director. Some familiarity with differential equations is desirable.
Description: Computational Neuroscience is a highly cross-disciplinary field where theory and modeling are used to study how the brain works. The course will be an introduction to this subject, covering basic concepts and models, neural circuit mechanisms of various brain functions, such as information coding and processing, learning and memory, working memory, decision-making. The course is designed for students to become well versed in key concepts and tools, canonical circuit mechanisms and computational principles for cross-level understanding from neural biophysics to recurrent networks to functions and behavior.