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, Aapo Hyvarinen, Zhaoping Li and Peter Dayan

Teaching Assistants

Kevin W Li (w.li.15_at_ucl.ac.uk)
Alex Antrobus (alexander.antrobus.15_at_ucl.ac.uk)
Sanjeevan Ahilan (sanjeevan.ahilan.13_at_ucl.ac.uk)

Venue

Ground Floor Conference Room
Gatsby Unit, Sainsbury Wellcome Centre
25 Howland Street
London
W1T 4JG

Schedule

Lectures

Dates: Mondays and Thursdays, 23 Jan - 23 Mar 2017
Time: 11:00 - 13:00
Detailed schedule: here (together with Neural Data Analysis)

Review sessions

Time: Thursdays 16.00
Place: Gatsby Unit seminar room (3rd floor SWC)

News

23.03.2017Homework 8 added. Due 30.03.2017
17.03.2017Homework 7 added. Due 23.03.2017
09.03.2017Homework 6 added. Due 15.03.2017
28.02.2017Watch this video before Zhaoping's lecture on 02.03.2017
28.02.2017Homework 5 added. Due 09.03.2017.
21.02.2017Homework 4 added. Q1-2 (maybe 3) due 23.02.2017, the rest 02.03.2017.
09.02.2017Network lecture notes added.
06.02.2017Homework 3 added. Due 16.02.2017
02.02.2017Homework 2 added. Due 09.02.2017
01.02.2017Detailed schedule added
31.01.2017Homework 1 added. Due 02.02.2017
31.01.2017Website online.