A hierarchy of intrinsic timescales across primate cortex

By John D. Murray, Alberto Bernacchia, David J. Freedman, Ranulfo Romo, Jonathan D. Wallis, Xinying Cai, C. Padoa-Schioppa, Tatiana Pasternak, Hyojung Seo, Daeyeol Lee and 2 more. Nature Neuroscience, 2014

950 citations recorded by the source corpus.

Specialization and hierarchy are organizing principles for primate cortex, yet there is little direct evidence for how cortical areas are specialized in the temporal domain. We measured timescales of intrinsic fluctuations in spiking activity across areas and found a hierarchical ordering, with sensory and prefrontal areas exhibiting shorter and longer timescales, respectively. On the basis of our findings, we suggest that intrinsic timescales reflect areal specialization for task-relevant computations over multiple temporal ranges.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/36bfbd9519c4c3a62a423bd80a173ff1e6a7cf33

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In Cognitive Neuroscience

Citations in the corpus

Discovering event structure in continuous narrative perception and memory (2016, neutral): “…which regions’ responses are disrupted (Hasson, Yang, Vallines, Heeger, & Rubin, 2008; Honey et al., 2012; Lerner, Honey, Silbert, & Hasson, 2011) or by examining the power spectrum of intrinsic dynamics within each region (Honey et al., 2012; Murray et al., 2014; Stephens, Honey, & Hasson, 2013).”
Working Memory 2.0 (2018, background): “This could be the result of longer time synaptic integration constants (Murray et al., 2014) brought about by superficial-layer lateral excitatory connections (Goldman-Rakic, 1996) and more synaptic spines on pyramidal cells (Elston, 2000).”
Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics (2018, neutral): “, 2012) and in monkeys at the single-neuron level (Murray et al., 2014).”
Large-Scale Gradients in Human Cortical Organization. (2018, positive): “Areas with longer temporal receptive fields show slower resting-state fluctuations in human electrocorticography [51] and functional MRI data [54], as well as in single neuron spike trains in the macaque monkey [55].”
REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics (2019, background): “…al., 2013; Riga et al., 2014), a view that is substantiated by our application of dynamic causal modeling to psilocy-bin magnetoencephalography (MEG) data, which implicated layer 5 pyramidal neuron excitation as the cause of broadband decreases in oscillatory power (Muthukumaraswamy et al., 2013).”
Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology (2021, positive): “This continuous spectrum of timescales is evident in macaque single neuron spike train data (Murray et al., 2014), human electrocorticography recordings (Gao et al.”
neuromaps: structural and functional interpretation of brain maps (2022, background): “These maps offer insights into the brain’s structural and functional architecture, including grey matter morphometry [9, 17], myelination [13, 28, 36, 88], gene expression [3, 33], cytoarchitecture [66], metabolism [72], neurotransmitter receptors and transporters [8, 32, 55, 94], laminar differenti”
The Distributed Nature of Working Memory. (2017, background): “More recent accounts of distributed working memory have emphasized different timescales of retention in different brain areas [140,141], the role of attentional processes in the retention of memories [4,11,142], and the utility of synaptic plasticity and dynamic firing trajectories for working memor”
The graphical brain: Belief propagation and active inference (2017, result): “This implicit belief updating is consistent with invasive recordings in primates, which suggest an anteroposterior gradient of time constants (Kiebel, Daunizeau, & Friston, 2008; Murray et al., 2014).”
Comparing spatial null models for brain maps (2021, neutral): “…et al., 2020; Zilles and Amunts, 2009; Zilles et al., 2004 ), intracortical myelin ( Burt et al., 2018; Whitaker et al., 2016 ), and functional organization ( Bellec et al., 2010; Damoi-seaux et al., 2006; Margulies et al., 2016; Murray et al., 2014; Shaﬁei et al., 2020; Yeo et al., 2011 ).”
Mapping neurotransmitter systems to the structural and functional organization of the human neocortex (2021, background): “Indeed, recent work has incorporated microarray gene transcription [17, 47], cell types [4, 109], myelination [24, 25, 53], laminar differentiation [138], and intrinsic dynamics [41, 65, 74, 112] into structural and functional models of the brain.”
Criticality in the brain: A synthesis of neurobiology, models and cognition. (2017, background): “Such a core-periphery organization of brain network dynamics speaks to a hierarchy of time-scale fluctuations, in which hub regions integrate and regulate the network dynamics largely operating at slow frequencies (Cocchi et al., 2016; Gollo et al., 2017, 2015; Hasson et al., 2008; Honey et al., 201”