AI RESEARCH

When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells

arXiv CS.AI

ArXi:2604.00036v1 Announce Type: cross Hippocampal place and time cells encode spatial and temporal aspects of experience. Both have the same neural substrate, but have been modeled as having different functions and mechanistic origins, place cells as continuous attractors, and time cells as leaky integrators. Here, we show that both types emerge from two dynamical regimes of a single recurrent network (RNN) modeling hippocampal CA3 as a predictive autoencoder.