ArticleHippocampus2019
A neural microcircuit model for a scalable scale-invariant representation of time.
Article in Hippocampus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Article
- Intrinsic persistent firing in CA1 encodes elapsed time across behaviorally relevant scales.bioRxiv : the preprint server for biology · 2025Article
- Cell-type-specific cholinergic control of granular retrosplenial cortex with implications for angular velocity coding across brain states.Progress in neurobiology · 2025Article
- Control Principles of Neural Dynamics Revealed by the Neurobiology of Timing.Annual review of neuroscience · 2025Review
- 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 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
- Ramping cells in rodent mPFC encode time to past and future events via real Laplace transform.bioRxiv : the preprint server for biology · 2024Article
- Keeping time and rhythm by internal simulation of sensory stimuli and behavioral actions.Science advances · 2024Article
- Neural Sequences and the Encoding of Time.Advances in experimental medicine and biology · 2024Review
- An emergent temporal basis set robustly supports cerebellar time-series learning.Journal of neurophysiology · 2023Article
- Article
- Neural population clocks: Encoding time in dynamic patterns of neural activity.Behavioral neuroscience · 2022Article
- Article
- Article
- Encoding time in neural dynamic regimes with distinct computational tradeoffs.PLoS computational biology · 2022Article
- Article
- Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures.Frontiers in computational neuroscience · 2022Article
- Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependence.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Medial Entorhinal Cortex Excitatory Neurons Are Necessary for Accurate Timing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Scale-invariant timing has been observed in a wide range of behavioral experiments. The firing properties of recently described time cells provide a possible neural substrate for scale-invariant behavior. Earlier neural circuit models do not produce scale-invariant neural sequences. In this article, we present a biologically detailed network model based on an earlier mathematical algorithm. The simulations incorporate exponentially decaying persistent firing maintained by the calcium-activated nonspecific (CAN) cationic current and a network structure given by the inverse Laplace transform to generate time cells with scale-invariant firing rates. This model provides the first biologically detailed neural circuit for generating scale-invariant time cells. The circuit that implements the inverse Laplace transform merely consists of off-center/on-surround receptive fields. Critically, rescaling temporal sequences can be accomplished simply via cortical gain control (changing the slope of the f-I curve).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.