*Topical focus: Bias in Learning*
25 August - 5 September 2025, London
www.analytical-connectionism.net/school/2025

*Apply by 18 April 2025*

We are delighted to announce the 3rd edition of the School on Analytical 
Connectionism. This 2-week course will focus on analytical tools, including 
methods from statistical physics and probability theory, for probing neural 
networks and higher-level cognition. This course is appropriate for 
graduate students, postdoctoral fellows and faculty in fields from 
psychology and neuroscience, to physics, computer science, and mathematics. 

The course will bring together neuroscience, psychology, and 
machine-learning communities, introducing participants to connectionist 
theories of higher-level cognition and psychology as well as analytical 
methods for neural-network analysis. Participants will work in teams, 
mentored by course lecturers and organisers, to develop novel research 
projects on topics related to analytical connectionism. Participants will 
present the research proposals in Week 1 and interim results at the end of 
the course.

Confirmed Faculty:
Rémi Monasson (CNRS/ENS)
Tim Rogers (University of Wisconsin-Madison)
Tali Sharot (UCL/MIT)
Merav Ahissar (Hebrew University of Jerusalem)
Xuechunzi Bai (University of Chicago)
Marco Baity-Jesi (Eawag) 
Mathew Diamond (SISSA)
Lasana Harris (UCL)
Tiago Maia (University of Lisbon) 
Angela Radulescu (Icahn School of Medicine at Mt. Sinai)
Levent Sagun (FAIR)
Fanny Yang (ETHZ)

 

Best,

I-Chun on behalf of the School Organisers

 

--

I-Chun Lin

Scientific Programme Manager
Gatsby Computational Neuroscience Unit, UCL

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