Psychology workshops

CIFMA connects researchers studying cognition across psychology, neuroscience, linguistics, philosophy, education, robotics and computer science. The workshop explores attention, memory, reasoning, language, learning and human interaction with physical and computational environments. It brings formal modelling and analysis methods into dialogue with cognitive science, with applications in cognitive robotics, biomedical signals and imaging, neural interfaces, human–computer interaction and intelligent educational systems. The meeting is co-located with SEFM 2026 in Malta. Abstract and paper submission deadlines have passed.

How reliably can non-invasive brain stimulation establish causal relationships in cognition, and which factors change its effects? This workshop examines the empirical, methodological and theoretical limits of causal inference with transcranial stimulation. It connects stimulation protocols, individual variability and biomarkers with multi-laboratory replication and open-science practice. The programme covers concurrent TMS-fMRI, white-matter pathways, paired associative stimulation, electric-field modelling and memory-related electrical stimulation. A satellite session includes practical TMS-EEG work. The satellite starts on 2 December with check-in at 13:30 and talks at 14:00. Main-workshop check-in begins at 08:20 on 3 December, followed by the introduction at 09:20; sessions resume at 09:00 on 4 December. Times are local CET (Europe/Rome). Registration and abstracts close on 31 October 2026, or earlier if capacity is reached. Fees are €100 for postdocs, doctoral students, residents and master's students; €200 for faculty and non-academic research or clinical staff; and €360 for company participants. The first 20 IMT doctoral students may register free. Registration includes the satellite, main programme, breaks and receptions; accommodation, lunches and the social dinner are additional. Fees are non-refundable.

The School on Analytical Connectionism is a two-week summer course on analytical tools, including methods from statistical physics and probability theory, for probing neural network models of higher-level cognition, bringing together neuroscience, psychology and machine-learning communities. The 2027 school, held in Boston from 2 to 13 August 2027, focuses on interpretability in reasoning and mathematical cognition: how children or artificial systems use and acquire mathematical concepts, how mathematical intuition and expertise develop and interact, and how studying the heuristics and abstractions that AI systems develop may deepen understanding of human mathematical cognition. The first week offers core lectures on mathematical methods for neural network analysis and on key connectionist models linked to experimental observations; the second week offers frontiers lectures. Participants also join tutorials, poster sessions and contributed talks, work in teams on research projects that they pitch in week one and present at the end, and co-author peer-reviewed lecture notes collected into a special issue. The school is directed by Erin Grant (University of Alberta & Amii) and Stefano Sarao Mannelli (Chalmers University of Technology & University of Gothenburg), with SueYeon Chung (Harvard University & Flatiron Institute) and Andrew Saxe (University College London) as advisors. Applications open on 1 February 2027 and close on 1 April 2027 (AoE); first-round outcomes are communicated on 17 May 2027.