THEORETICAL NEUROSCIENCE (2023/2024)

Information

Theoretical neuroscience is a mathematical approach to understanding neural systems. This course provides a thorough introduction to current approaches in the field.

We will make heavy use of mathematical, statistical, and computational methods. 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.

The course is run primarily for students at the Gatsby Unit. Nevertheless, students, postdocs and faculty members from other UCL departments are welcome to attend on an informal basis. Please contact I-Chun Lin (i.lin 'at' ucl.ac.uk) if you would like to attend.

Lecturers

Peter Latham, Agostina Palmigiano, Maneesh Sahani, Andrew Saxe

Teaching Assistants

Loek Van Rossem
Mohadeseh Shafiei Kafraj
Yedi Zhang

For contact information, see 'PhD Students' at the People page