A school & workshop series centring on analysing connectionist models of higher-level cognition: perception, memory, decision-making, language, and cognitive control.
Connectionism, a theoretical approach in cognitive science, 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 the Kavli Institute for Theoretical Physics at the University of California, Santa Barbara, bringing together theoretical and experimental researchers interested in high-level cognition and how this emerges from neural activity.
A 5-day long conference as part of the Kavli Institute for Theoretical Physics (University of California, Santa Barbara) program “Statistical Physics & Neurobiology of Learning in High-Level Cognition” focused on development and AI.
