Meetings:

Tuesdays, 10.00 - 11.30 am

Location:

hybrid, JLGSC-L7-119, ask for link and password, in case you prefer to join online

Registration:

Please register via Courseworks, the course is also open to external guests

Schedule

Methods for decoding and interpreting neural data

• Feb 01 Methods on calculating receptive fields (Ji Xia) Material
• Feb 08 Information theory (Jeff Johnston) Material
• Feb 15 cancelled

Neural representations

• Feb 22 Geometry of abstractions (theory session) (Valeria Fascianelli) slides
• Mar 01 Geometry of abstractions (hands-on session) (Lorenzo Posani)notebook

Network dynamics

• Mar 08 Solving very nonlinear problems with Homotopy Analysis Method (Serena Di Santo) notes notebook
• Mar 29 Forgetting in attractor networks (Samuel Muscinelli) paper
• Apr 05 Mean-field models of network dynamics (Alessandro Sanzeni + Mario Dipoppa) slides

Dynamics of learning

• Apr 12 Learning dynamics in feedforward neural networks (Manuel Beiran + Rainer Engelken) paper
• Apr 19 Learning dynamics recurrent neural networks (Manuel Beiran + Rainer Engelken)paper

Causality

• Apr 26 Introduction to some causality issues in neuroscience (Laureline Logiaco)paper

• May 3 Causal Inference (Amin Nejatbakhsh)

• May 10 student presentations

• May 17 Bonus session: Many methods, one problem: modern inference techniques as applied to linear regression (Juri Minxha)