CCN: Schedule

Note: The schedule and linked documents are being updated and subject to changes. 

WeekCommencingLecturesSlidesLabs or AssignmentsSuggested Reading
112-Jan-2026

 1) Introduction to the course - why a computational approach to psychiatry?

2) Neuroscience and Psychiatry Basics

1. Introduction slides 


2. Neuroscience basics slides 
Lab 0  : Python primer/revision 
 
Computational Psychiatry: A Primer (MIT Press) (CPP)
available at the library or buy online
pdf of previous version: text, figures, bibliography

This week, read Chapter 1 "Introduction"
 
Dayan and Abbott (DA) Chapter 1-2
 
Watch this video on Marr's three levels of analysis
 
219-Jan-2026

 

 3) Models of Biological Neurons

 

4) No lecture on the 22nd 

slides

 

 

Lab 1: Models of neurons
 
CPP 2.1 & 2.2 Methods sections for an overview

Further readings about models of neurons and networks of neurons
DA Chapter 5-(6)-7
 
Watch this video about Hodgkin and Huxley's experiments
326-Jan-2026

4) Models of Networks of Neurons

 

5) Networks Example (1)- Schizophrenia, Attractors and Working memory.

slides

 

 

 

slides

 

 

 

Ted talk about working memory

Nobel Prize 2024 to Hopfield and Hinton

 

CPP Chapter 3

DA Chapter 7

42-Feb-2026

6) Networks Example (2) -Schizophrenia, Attractors and Working memory

 

7) Decision Making, optimal decision making and the Drift Diffusion model

slides

 

slides

 

 

Lab 2: Hopfield net and application to understanding schizophrenia 

Hoffman and Dosha's paper


 

Using diffusion models to understand clinical disorders Corey N. White, Roger Ratcliff, Michael W. Vasey, and Gail McKoon

 

 

509-Feb-2026

8) Decision Making continued + a brief detour: overview of the visual system
 

9) Reinforcement learning models

 

slides 

 

slides

 

 

  
 16-Feb-2026 (Flexible week - no lectures)No lectures   
623-Feb-2026

10) Application: RL models of addiction

 

11)Applications: RL Models of depression and anxiety

slides

 

slides

Lab3: the Drift Diffusion Model

Solutions Lab3

CPP Chapter 5  (the value of almost everything)

Chapter 9 (Addiction) in textbook

72-March-2026

no lecture on Monday March 3rd 

 

12) Computational modelling of behavioural data 

-

 

 

slides 

 

 

 

 

 

 

 

Chapter 7 (Depression) in textbook

Wilson and Collins, eLife, 2019 on 10 steps to model behavioural data. 

809-March-2026

13) Bayesian modelling: the Bayesian brain  (1)

14) Bayesian modelling (2) - the Bayesian brai

slides

slides part 1
part2 

Chapter 8 (Anxiety) in textbook

 

Chapter 6 (Psychosis) in textbook

916-March 2026

no lecture on Monday 17 

 

15) Bayesian modelling (3) - application to comp. psychiatry

 

 

- slides

 

  
1023-March 2026

No lecture on Monday 24th

 

16) Bayesian modelling cnt (4)

 

 

slides

Deadine for Coursework

 
 
1130-March 2026no lecture on Monday 30

2 April: Exam revision 
slides  

 

 

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