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