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, Maneesh Sahani, Andrew Saxe
Teaching Assistants
Kira Dusterwald
Samo Hromadka
Dimitri Meunier
Aaditya Singh
For contact information, see 'PhD Students' at the People page
Schedule
Lectures
Dates: Tuesdays and Fridays unless otherwise stated, 10 Jan - 24 Mar 2023
Detailed schedule:
here
Time: 11:00 - 13:00
Place: Gatsby Unit Seminar Room (3rd floor, SWC building)
Review sessions
Time: Typically Wednesdays, 11:00 - 12:30
Place: Gatsby Unit Seminar Room (3rd floor, SWC building)
News
| 11.02.2020 | Homework 3 added. Due 24.02.2020 |
| 03.02.2020 | Homework 2 added. Due 10.02.2020 |
| 19.01.2023 | Homework 1 added. Due 27.01.2023 |
| 10.01.2023 | Relevant writeups for the first few lectures: 'What you should have learned from my lectures' and 'Dendrites and axons' (access here) | 09.01.2023 | Course website online. |