Information
Theoretical neuroscience is a mathematical approach to understanding neural systems. This course provides a thorough introduction to current approaches in the field
Heavy use will be made of mathematical, statistical, and computational methods. The course is open to anyone, although students should feel comfortable with linear algebra, ordinary differential equations, and probability theory at the level found in Boas (Mathematical Methods in the Physical Sciences) or Arfken (Mathematical Methods for Physicists).
The course textbook is Theoretical Neuroscience by Dayan and Abbot.
Lecturers
Peter Latham, Maneesh Sahani, Andrew Saxe
Teaching Assistants
Clementine Domine
Rodrigo Carrasco Davis
William Dorrell
Venue
3rd Floor seminar room, Gatsby Unit and seminar zoom link.
Schedule
Lectures
Dates: Tuesdays and Fridays, 18 Jan – 8 April 2022
Time: 11:00 - 13:00
Detailed schedule:
here
Review sessions
Time: Monday 10 am
Place:same zoom link