A school & 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 successes, theoretical understanding lags behind empirical practice. This series brings together graduate students, postdocs and senior researchers to close the gap, through intensive summer schools, focused workshops, and peer-reviewed lecture notes.
A 6-week long program hosted by KITP (UCSB) bringing together theoretical and experimental researchers interested in high-level cognition and how this emerges from neural activity.
View details ↗
A 5-day long conference as part of the KITP program ''Statistical Physics & Neurobiology of Learning in High-Level Cognition'' focused on development and AI.
View details ↗
A 2-week summer course hosted at the University of Alberta and BIRS, focusing on analytical approaches to reinforcement learning and sequential decision-making.
View details ↗
