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