Armin Bazarjani

This paper proposes that hippocampal replay repairs the cognitive map by updating it for new goals and maintaining abandoned ones, supported by rat foraging experiments.

This paper introduces SR-IS, a model that learns policy-independent predictive maps for flexible planning, outperforming existing models in planning tasks and explaining human replanning biases.

This paper introduces Default Feature Representations (DFR) for updating predictive cognitive maps, showing it outperforms baselines in replanning tasks and captures grid cell remapping.