ArticlePLoS computational biology2024
Signatures of hierarchical temporal processing in the mouse visual system.
Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed.
- Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales.PLoS computational biology · 2026Article
- Article
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- iSTTC: A robust method for accurate estimation of intrinsic neural timescales from single-unit recordings.PLoS computational biology · 2026Article
- Synergistic Geniculate and Cortical Dynamics Facilitate a Decorrelated Spatial Frequency Code in the Early Visual System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Brain-wide organization of intrinsic timescales at single-neuron resolution.bioRxiv : the preprint server for biology · 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
- Stabilized Supralinear Network Model of Responses to Surround Stimuli in Primary Visual Cortex.eNeuro · 2025Article
- Uncovering a Timescale Hierarchy by Studying the Brain in a Natural Context.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing through intrinsic mechanisms (e.g., recurrent coupling or adaptation), but recent evidence from spike recordings of the rodent visual system seems to conflict with this hypothesis. Here, we used an optimized information-theoretic and classical autocorrelation analysis to show that information- and correlation timescales of spiking activity increase along the anatomical hierarchy of the mouse visual system under visual stimulation, while information-theoretic predictability decreases. Moreover, intrinsic timescales for spontaneous activity displayed a similar hierarchy, whereas the hierarchy of predictability was stimulus-dependent. We could reproduce these observations in a basic recurrent network model with correlated sensory input. Our findings suggest that the rodent visual system employs intrinsic mechanisms to achieve longer integration for higher cortical areas, while simultaneously reducing predictability for an efficient neural code.
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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.