ArticleProceedings of the National Academy of Sciences of the United States of America2022
Hierarchical timescales in the neocortex: Mathematical mechanism and biological insights.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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33 citing papers in PubMed.
- Alternative splicing in layer 3 pyramidal neurons differs across regions of the human cortical hierarchy.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Competitive interactions shape mammalian brain network dynamics and computation.Nature neuroscience · 2026Article
- The neural code of perceptual inference.Molecular brain · 2026Review
- Emergent critical oscillations in motor cortex of Parkinson's patients.bioRxiv : the preprint server for biology · 2026Article
- Artificial intelligence as a surrogate brain: bridging neural dynamical models and data.National science review · 2026Review
- The anticipation of imminent events is time-scale invariant.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Cross-species evidence for the refinement of intrinsic neural timescales supporting executive system maturation through adolescence.bioRxiv : the preprint server for biology · 2025Article
- A hierarchy of time constants and reliable signal propagation in the marmoset cerebral cortex.Nature communications · 2025Article
- Neuromorphic computing paradigms enhance robustness through spiking neural networks.Nature communications · 2025Article
- Bifurcation in space: Emergence of functional modularity in the neocortex.bioRxiv : the preprint server for biology · 2025Article
- Cooperative coding of continuous variables in networks with sparsity constraint.PLoS computational 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
- Ramping dynamics in the frontal cortex unfold over multiple timescales during motor planning.Journal of neurophysiology · 2025Article
- Hierarchical gradients of multiple timescales in the mammalian forebrain.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A new function of offset response in the primate auditory cortex: marker of temporal integration.Communications biology · 2024Article
- Timescales of learning in prefrontal cortex.Nature reviews. Neuroscience · 2024Review
- Distribution of calbindin-positive neurons across areas and layers of the marmoset cerebral cortex.PLoS computational biology · 2024Article
- Development of neuronal timescales in human cortical organoids and rat hippocampus dissociated cultures.Journal of neurophysiology · 2024Article
- Signatures of hierarchical temporal processing in the mouse visual system.PLoS computational biology · 2024Article
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2 authors.
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Abstract
A cardinal feature of the neocortex is the progressive increase of the spatial receptive fields along the cortical hierarchy. Recently, theoretical and experimental findings have shown that the temporal response windows also gradually enlarge, so that early sensory neural circuits operate on short timescales whereas higher-association areas are capable of integrating information over a long period of time. While an increased receptive field is accounted for by spatial summation of inputs from neurons in an upstream area, the emergence of timescale hierarchy cannot be readily explained, especially given the dense interareal cortical connectivity known in the modern connectome. To uncover the required neurobiological properties, we carried out a rigorous analysis of an anatomically based large-scale cortex model of macaque monkeys. Using a perturbation method, we show that the segregation of disparate timescales is defined in terms of the localization of eigenvectors of the connectivity matrix, which depends on three circuit properties: 1) a macroscopic gradient of synaptic excitation, 2) distinct electrophysiological properties between excitatory and inhibitory neuronal populations, and 3) a detailed balance between long-range excitatory inputs and local inhibitory inputs for each area-to-area pathway. Our work thus provides a quantitative understanding of the mechanism underlying the emergence of timescale hierarchy in large-scale primate cortical networks.
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