ArticleeLife2023
A reservoir of timescales emerges in recurrent circuits with heterogeneous neural assemblies.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Article
- Dynamical mean-field theory for a highly heterogeneous neural population with graded persistent activity of the entorhinal cortex.PLoS computational biology · 2025Article
- Continuous Attractor Networks for Laplace Neural Manifolds.Computational brain & behavior · 2025Article
- Consistent Hierarchies of Single-Neuron Timescales in Mice, Macaques, and Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Sleep Modulates Neural Timescales and Spatiotemporal Integration in the Human Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Ramping dynamics in the frontal cortex unfold over multiple timescales during motor planning.Journal of neurophysiology · 2025Article
- Neural heterogeneity enables adaptive encoding of time sequences.Communications physics · 2025Article
- Hierarchical gradients of multiple timescales in the mammalian forebrain.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- 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
- Article
- Ramping Dynamics in the Frontal Cortex Unfold Over Multiple Timescales During Motor Planning.bioRxiv : the preprint server for biology · 2024Article
- Learning low-dimensional generalizable natural features from retina using a U-net.Advances in neural information processing systems · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The temporal activity of many physical and biological systems, from complex networks to neural circuits, exhibits fluctuations simultaneously varying over a large range of timescales. Long-tailed distributions of intrinsic timescales have been observed across neurons simultaneously recorded within the same cortical circuit. The mechanisms leading to this striking temporal heterogeneity are yet unknown. Here, we show that neural circuits, endowed with heterogeneous neural assemblies of different sizes, naturally generate multiple timescales of activity spanning several orders of magnitude. We develop an analytical theory using rate networks, supported by simulations of spiking networks with cell-type specific connectivity, to explain how neural timescales depend on assembly size and show that our model can naturally explain the long-tailed timescale distribution observed in the awake primate cortex. When driving recurrent networks of heterogeneous neural assemblies by a time-dependent broadband input, we found that large and small assemblies preferentially entrain slow and fast spectral components of the input, respectively. Our results suggest that heterogeneous assemblies can provide a biologically plausible mechanism for neural circuits to demix complex temporal input signals by transforming temporal into spatial neural codes via frequency-selective neural assemblies.
Indexed as
Identifiers
What OpenQuestion holds
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.