#32 · Systems biology
Recurrent CA3 dynamics may yield both place and time cell representations
Across these items, hippocampal place and time coding are treated as outcomes of how representations are formed and how learning statistics shape them. A recurrent CA3 autoencoder produces both place and time cell representations, and the preprint proposes a shared origin with differences attributed to task-driven factors. A PLOS Computational Biology model integrates environmental-feature and behavioural-outcome inference, overcoming the limits of each alone while reproducing PFC-hippocampus behavioural and cellular phenomena. A second PLOS Computational Biology study applies the deep successor representation to spatial navigation, linking pre-exposure exploration aligned with reward location to later latent learning. What is new is explicit modelling of how content and statistics jointly constrain hippocampal and prefrontal activity, rather than treating place and time coding as separate phenomena.
Published papers
Contextual inference through flexible integration of environmental features and behavioural outcomes.
Joint feature- and outcome-based models overcome each alone's limits and reproduce PFC-hippocampus behavioural and cellular phenomena.
Accounting for sensitivity of latent learning to behavioral statistics with successor representations.
Models latent learning in spatial navigation with the deep successor representation, showing pre-exposure exploration aligned with reward location speeds later…
Preprints
When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells
A recurrent CA3 autoencoder yields both place and time cell representations, suggesting shared origin with task-driven differences.
Topic history
| Date | Rank |
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| #32 | |
| #34 | |
| #38 |