ReviewFrontiers in neural circuits2020
A Diversity of Intrinsic Timescales Underlie Neural Computations.
Review in Frontiers in neural circuits, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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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.
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Who cites it
61 citing papers in PubMed.
- Article
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Immediate to longer-term neurophysiological impact of acute neural network disruption.medRxiv : the preprint server for health sciences · 2026Article
- Homeostatic dendritic neuron based on co-integrated volatile and non-volatile memristors for neuromorphic processing.Nature communications · 2026Article
- Selective control of prefrontal neural timescales by parietal cortex.Nature communications · 2026Article
- iSTTC: A robust method for accurate estimation of intrinsic neural timescales from single-unit recordings.PLoS computational biology · 2026Article
- Article
- Brain mechanisms of auditory perception in autism spectrum disorder: a comparative perspective on tonal and non-tonal languages.Frontiers in systems neuroscience · 2026Article
- Neurons in auditory cortex integrate information within a constrained and context-invariant temporal window.Current biology : CB · 2025Article
- Cross-species evidence for the refinement of intrinsic neural timescales supporting executive system maturation through adolescence.bioRxiv : the preprint server for biology · 2025Article
- Criticality and increased intrinsic neural timescales in stroke.NPJ systems biology and applications · 2025Article
- A dynamic spatiotemporal normalization model captures perceptual and neural effects of spatial and temporal context.PLoS biology · 2025Article
- From Speech Semantics to Brain Activity-Timescales Are Key in Their Information Transfer.Human brain mapping · 2025Article
- Neurons in auditory cortex integrate information within constrained temporal windows that are invariant to the stimulus context and information rate.bioRxiv : the preprint server for biology · 2025Article
- The dynamic interplay between in-context and in-weight learning in humans and neural networks.ArXiv · 2025Article
- Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Continuous Attractor Networks for Laplace Neural Manifolds.Computational brain & behavior · 2025Article
- Brain-wide organization of intrinsic timescales at single-neuron resolution.bioRxiv : the preprint server for biology · 2025Article
- Cognitive processes are disentangled at cortex-wide scales.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
1 more citing papers are in PubMed but not listed here.
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3 authors.
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Abstract
Neural processing occurs across a range of temporal scales. To facilitate this, the brain uses fast-changing representations reflecting momentary sensory input alongside more temporally extended representations, which integrate across both short and long temporal windows. The temporal flexibility of these representations allows animals to behave adaptively. Short temporal windows facilitate adaptive responding in dynamic environments, while longer temporal windows promote the gradual integration of information across time. In the cognitive and motor domains, the brain sets overarching goals to be achieved within a long temporal window, which must be broken down into sequences of actions and precise movement control processed across much shorter temporal windows. Previous human neuroimaging studies and large-scale artificial network models have ascribed different processing timescales to different cortical regions, linking this to each region's position in an anatomical hierarchy determined by patterns of inter-regional connectivity. However, even within cortical regions, there is variability in responses when studied with single-neuron electrophysiology. Here, we review a series of recent electrophysiology experiments that demonstrate the heterogeneity of temporal receptive fields at the level of single neurons within a cortical region. This heterogeneity appears functionally relevant for the computations that neurons perform during decision-making and working memory. We consider anatomical and biophysical mechanisms that may give rise to a heterogeneity of timescales, including recurrent connectivity, cortical layer distribution, and neurotransmitter receptor expression. Finally, we reflect on the computational relevance of each brain region possessing a heterogeneity of neuronal timescales. We argue that this architecture is of particular importance for sensory, motor, and cognitive computations.
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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.