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' if you would like to attend.


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



Dates: Tuesdays and Fridays unless otherwise stated, 9 Jan – 12 Apr 2024
Detailed schedule: here
Time: 11:00 - 13:00
Place: Ground Floor Lecture Theatre (SWC building)

Review sessions

Time: Wednesdays, 11:00 - 12:30 (starting 24 January 2024)
Place: Gatsby Unit Seminar Room (3rd floor, SWC building)


12.01.2024 Course schedule updated - please update your calendar accordingly.
11.01.2024 Homework 1 added. Due 2 Feb 2024
06.02.2024 Homework 2 (optional) and 3 added. Due 16 Feb 2024