2020
DOI: 10.7554/elife.61277
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Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture

Abstract: Complex cognitive functions such as working memory and decision-making require information maintenance over seconds to years, from transient sensory stimuli to long-term contextual cues. While theoretical accounts predict the emergence of a corresponding hierarchy of neuronal timescales, direct electrophysiological evidence across the human cortex is lacking. Here, we infer neuronal timescales from invasive intracranial recordings. Timescales increase along the principal sensorimotor-to-association axis across… Show more

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Cited by 206 publications
(330 citation statements)
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References 112 publications
(224 reference statements)
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“…Conversely, the Caudal TPJ-Prefrontal and the Rostral TPJ-Prefrontal clusters were located closer to core regions of the cortical gradient, and their cue and target neural responses at the short cue-target delay were integrated in a single peak of activity. This phenomenon is consistent with a key feature of the core-periphery gradient: a temporal hierarchy of receptive windows, analogous to the spatial hierarchy of receptive fields (26)(27)(28)(29)(30)(31)(32). Going from peripheral regions such as early visual cortex, to core regions such as the intraparietal sulcus, temporal receptive windows become longer, integrating over longer durations, and selectivity for coherent temporal structures increases (26,(28)(29)(30).…”
supporting
confidence: 79%
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“…Conversely, the Caudal TPJ-Prefrontal and the Rostral TPJ-Prefrontal clusters were located closer to core regions of the cortical gradient, and their cue and target neural responses at the short cue-target delay were integrated in a single peak of activity. This phenomenon is consistent with a key feature of the core-periphery gradient: a temporal hierarchy of receptive windows, analogous to the spatial hierarchy of receptive fields (26)(27)(28)(29)(30)(31)(32). Going from peripheral regions such as early visual cortex, to core regions such as the intraparietal sulcus, temporal receptive windows become longer, integrating over longer durations, and selectivity for coherent temporal structures increases (26,(28)(29)(30).…”
supporting
confidence: 79%
“…Over longer cue-target delays, which allowed temporal segregation of cue and target, IOR could result from temporal normalization, an operation that leads to decreased response to repeating stimuli and increased response to novel ones (30)(31)(32). Recent evidence (27) shows that neural timescales can change to serve cognitive functions. Specifically, prefrontal cortex timescales expand during working memory maintenance and predict individual performance (27).…”
mentioning
confidence: 99%
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“…These micro-architectural properties – increasingly measured directly from histology or inferred from other measurements, such as microarray gene expression – provide a unique opportunity to relate circuit architecture to temporal dynamics and computation. Indeed, multiple studies have focused on how intrinsic timescales vary in relation to microscale and macroscale attributes ( Murray et al, 2014 ; Mahjoory et al, 2019 ; Shine et al, 2019 ; Gao et al, 2020 ; Ito et al, 2020 ; Raut et al, 2020 ). The primary functional consequence of this hierarchy of timescales is thought to be a hierarchy of temporal receptive windows: time windows in which a newly arriving stimulus will modify processing of previously presented (i.e.…”
Section: Introductionmentioning
confidence: 99%