ePoster · Neuroscience
Probing the dynamics of neural representations that support generalization under continual learning
Daniel Kimmel, Kimberly Stachenfeld, Nikolaus Kriegeskorte, Stefano Fusi, C Daniel Salzman, Daphna Shohamy · COSYNE 2025
Abstraction and generalization are essential for flexible decision-making in novel situations. Recent work in humans and monkeys has shown how abstract variables are encoded by the representational geometry of single-neuron population activity in a format that supports generalization. However, these observations typically are made after learning has converged, leaving open the question of how these representations form. We designed the present study to tackle this question. We developed a factorized model of temporal abstraction that builds on the successor representation and is motivated by r