ArticleeLife2022
Internally generated time in the rodent hippocampus is logarithmically compressed.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Hippocampal astrocytic sequences emerge during learning and memory recall.Nature neuroscience · 2026Article
- Hippocampal astrocytic sequences emerge during learning and memory.bioRxiv : the preprint server for biology · 2026Article
- Time-Local Transformer.Computational brain & behavior · 2026Article
- Article
- Reconciling time and prediction error theories of associative learning.Nature communications · 2025Article
- Continuous Attractor Networks for Laplace Neural Manifolds.Computational brain & behavior · 2025Article
- Learning Temporal Relationships Between Symbols with Laplace Neural Manifolds.Computational brain & behavior · 2025Article
- Self-supervised learning of scale-invariant neural representations of space and time.Journal of computational neuroscience · 2025Article
- The influence of emotion on temporal context models.Cognition & emotion · 2025Review
- Ramping dynamics in the frontal cortex unfold over multiple timescales during motor planning.Journal of neurophysiology · 2025Article
- A framework for uniting space and time in the mind and brain.Frontiers in cognition · 2025Article
- Ramping cells in the rodent medial prefrontal cortex encode time to past and future events via real Laplace transform.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Working memory features are embedded in hippocampal place fields.Cell reports · 2024Article
- Ramping cells in rodent mPFC encode time to past and future events via real Laplace transform.bioRxiv : the preprint server for biology · 2024Article
- Ramping Dynamics in the Frontal Cortex Unfold Over Multiple Timescales During Motor Planning.bioRxiv : the preprint server for biology · 2024Article
- Spatialization of Time in the Entorhinal-Hippocampal System.Frontiers in behavioral neuroscience · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The Weber-Fechner law proposes that our perceived sensory input increases with physical input on a logarithmic scale. Hippocampal 'time cells' carry a record of recent experience by firing sequentially during a circumscribed period of time after a triggering stimulus. Different cells have 'time fields' at different delays up to at least tens of seconds. Past studies suggest that time cells represent a compressed timeline by demonstrating that fewer time cells fire late in the delay and their time fields are wider. This paper asks whether the compression of time cells obeys the Weber-Fechner Law. Time cells were studied with a hierarchical Bayesian model that simultaneously accounts for the firing pattern at the trial level, cell level, and population level. This procedure allows separate estimates of the within-trial receptive field width and the across-trial variability. After isolating across-trial variability, time field width increased linearly with delay. Further, the time cell population was distributed evenly along a logarithmic time axis. These findings provide strong quantitative evidence that the neural temporal representation in rodent hippocampus is logarithmically compressed and obeys a neural Weber-Fechner Law.
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