When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells
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. The network receives simulated, partially occluded ``experience vectors" containing spatial patterns (location-specific activity sampled during environmental traversal) and/or temporal patterns (correlated activity pairs separated by ``void" intervals), and is trained t...
| Authors | Qiaorong S. Yu, Zhaoze Wang, Vijay Balasubramanian |
|---|---|
| Primary category | q-bio.NC |
| Published | 22 March 2026 |
| Last updated at source | 22 March 2026 |
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