A predictive map learned from diverse entorhinal inputs explains the role of context-dependent reorganization of hippocampal place cells

The hippocampus is thought to support spatial memory and navigation by constructing predictive representations of the environment. Predictive map theory formalizes this function as a successor representation (SR). However, existing models assume a fixed and uniform distribution of place fields, despite experimental findings that place cell density is dynamically modulated by rewards and objects. Here, we propose a biologically inspired neural model in which predictive maps emerge from diverse en