Caltech neuroscientists highlight slow-learning processes in problem gamblers

Neuroscientists at the California Institute of Technology (Caltech) have isolated slow-learning processes as a possible contributor to problem gambling. Learning occurs across multiple timescales, with fast learning crucial for adapting to sudden environmental changes, and slow learning beneficial for extracting robust knowledge from multiple events. “We think that people learn via a thing called prediction…