A school and workshop series centring on analytical approaches to connectionism: neural network models of perception, memory, decision-making, language, and cognitive control.
Connectionism, a key theoretical approach in psychology, uses neural network models to simulate perception, memory, decision-making, language and cognitive control. For all its empirical successes, theoretical understanding of why these systems work tends to lag behind practice.
This series exists to close that gap. Through intensive summer schools, focused workshops, and peer-reviewed special issues of lecture notes, we bring together graduate students, postdocs and senior researchers around the analytical tools (statistical mechanics, random matrix theory, high-dimensional probability, dynamical systems) that let us reason rigorously about neural networks.
You can contact the directors at analytical-connectionism@googlegroups.com.