A hierarchy of intrinsic timescales across primate cortex
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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.
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The topographical hierarchy of processing timescales along the cortical surface has been supported and replicated across methodologies.
“The topographical hierarchy of processing timescales along the cortical surface (2) has been supported and replicated across methodologies, including single-unit analysis (4), electrocorticography analysis (7), fMRI analysis (5, 6, 25), magnetoencephalography analysis (1), computational models (3), and resting state functional connectivity (30, 31).”
From Amplification of local changes along the timescale processing hierarchy (2017) · cites this paper as [4]
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Cites
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783 · see citing works
Preface: Cerebral Cortex Has Come of Age
Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,412 · see citing works
Fuster, J. M. (1997) · Cited by 2,095 · see citing works
Neurons in the orbitofrontal cortex encode economic value
Padoa-Schioppa, C., & Assad, J. A. (2006) · Nature · doi:10.1038/nature04676 · Cited by 1,598 · see citing works
Self-citationProbabilistic decision making by slow reverberation in cortical circuits
Wang, X.-J. (2002) · Neuron · doi:10.1016/s0896-6273(02)01092-9 · Cited by 1,242 · see citing works
Self-citationStimulus onset quenches neural variability: A widespread cortical phenomenon
Churchland, M. M., Yu, B. M., Cunningham, J. P., Sugrue, L. P., Cohen, M. R., Corrado, G. S., Newsome, W. T., Clark, A. M., Hosseini, P., Scott, B. B., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2501 · Cited by 1,084 · see citing works
Is the rostro-caudal axis of the frontal lobe hierarchical?
Badre, D., & D'Esposito, M. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2667 · Cited by 946 · see citing works
A hierarchy of temporal receptive windows in human cortex
Hasson, U., Yang, E., Vallines, I., Heeger, D. J., & Rubin, N. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5487-07.2008 · Cited by 874 · see citing works
Experience-dependent representation of visual categories in parietal cortex
Freedman, D. J., & Assad, J. A. (2006) · Nature · doi:10.1038/nature05078 · Cited by 542 · see citing works
Self-citationSlow cortical dynamics and the accumulation of information over long timescales
Honey, C. J., Thesen, T., Donner, T. H., Silbert, L. J., Carlson, C. E., Devinsky, O., Doyle, W. K., Rubin, N., Heeger, D. J., & Hasson, U. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.011 · Cited by 532 · see citing works
Partitioning neuronal variability
Goris, R. L. T., Movshon, J. A., & Simoncelli, E. P. (2014) · Nature Neuroscience · doi:10.1038/nn.3711 · Cited by 528 · see citing works
Heterogeneity in the pyramidal network of the medial prefrontal cortex
Wang, Y., Markram, H., Goodman, P. H., Berger, T. K., Ma, J., & Goldman-Rakic, P. S. (2006) · Nature Neuroscience · doi:10.1038/nn1670 · Cited by 503 · see citing works
Neurons in the frontal lobe encode the value of multiple decision variables
Kennerley, S. W., Dahmubed, A. F., Lara, A. H., & Wallis, J. D. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21100 · Cited by 453 · see citing works
Self-citationCortex, Cognition and the Cell: New Insights into the Pyramidal Neuron and Prefrontal Function
Elston, G. N. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg093 · Cited by 440 · see citing works
The representation of economic value in the orbitofrontal cortex is invariant for changes of menu
Padoa‐Schioppa, C., & Assad, J. A. (2007) · Nature Neuroscience · doi:10.1038/nn2020 · Cited by 390 · see citing works
Self-citationEfficient Discrimination of Temporal Patterns by Motion-Sensitive Neurons in Primate Visual Cortex
Buračas, G. T., Zador, A. M., DeWeese, M. R., & Albright, T. D. (1998) · Neuron · doi:10.1016/s0896-6273(00)80477-8 · Cited by 383 · see citing works
Cortical structure predicts the pattern of corticocortical connections
Barbas, H. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.7.635 · Cited by 382 · see citing works
Anatomy of the Prefrontal Cortex
Fuster, J. M. (2008) · The Prefrontal Cortex · doi:10.1016/b978-0-12-373644-4.00002-5 · Cited by 364 · see citing works
Variance as a signature of neural computations during decision making
Churchland, A. K., Kiani, R., Chaudhuri, R., Wang, X.-J., Pouget, A., & Shadlen, M. N. (2011) · Neuron · doi:10.1016/j.neuron.2010.12.037 · Cited by 350 · see citing works
Self-citationPeriodicity and Firing Rate As Candidate Neural Codes for the Frequency of Vibrotactile Stimuli
Salinas, E., Hernández, A., Zainos, A., & Romo, R. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-14-05503.2000 · Cited by 333 · see citing works
Self-citationSeo, H., & Lee, D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2369-07.2007 · Cited by 324 · see citing works
Self-citationA reservoir of time constants for memory traces in cortical neurons
Bernacchia, A., Seo, H., Lee, D., & Wang, X.-J. (2011) · Nature Neuroscience · doi:10.1038/nn.2752 · Cited by 292 · see citing works
Self-citationSingle Units and Visual Cortical Organization
Lennie, P. (1998) · Perception · doi:10.1068/p270889 · Cited by 275 · see citing works
Zaksas, D., & Pasternak, T. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3420-06.2006 · Cited by 247 · see citing works
Self-citationBeyond Poisson: Increased Spike-Time Regularity across Primate Parietal Cortex
Maimon, G., & Assad, J. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.021 · Cited by 228 · see citing works
Neuronal Encoding of Subjective Value in Dorsal and Ventral Anterior Cingulate Cortex
Cai, X., & Padoa‐Schioppa, C. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3864-11.2012 · Cited by 205 · see citing works
Self-citationWang, H., Stradtman, G. G., Wang, X.-J., & Gao, W.-J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804318105 · Cited by 199 · see citing works
Preferential encoding of visual categories in parietal cortex compared with prefrontal cortex
Swaminathan, S. K., & Freedman, D. J. (2012) · Nature Neuroscience · doi:10.1038/nn.3016 · Cited by 180 · see citing works
Self-citationDynamic Signals Related to Choices and Outcomes in the Dorsolateral Prefrontal Cortex
Seo, H., Barraclough, D. J., & Lee, D. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm064 · Cited by 143 · see citing works
Self-citationActivity of Neurons in Cortical Area MT During a Memory for Motion Task
Bisley, J. W., Zaksas, D., Droll, J. A., & Pasternak, T. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00870.2003 · Cited by 141 · see citing works
Self-citationReward-Dependent Modulation of Working Memory in Lateral Prefrontal Cortex
Kennerley, S. W., & Wallis, J. D. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5353-08.2009 · Cited by 132 · see citing works
Self-citationCai, X., & Padoa‐Schioppa, C. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.008 · Cited by 132 · see citing works
Self-citationSingle-Neuron Mechanisms Underlying Cost-Benefit Analysis in Frontal Cortex
Hosokawa, T., Kennerley, S. W., Sloan, J., & Wallis, J. D. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2221-13.2013 · Cited by 128 · see citing works
Self-citationLateral Intraparietal Cortex and Reinforcement Learning during a Mixed-Strategy Game
Seo, H., Barraclough, D. J., & Lee, D. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1479-09.2009 · Cited by 125 · see citing works
Self-citationAmatrudo, J. M., Weaver, C. M., Crimins, J. L., Hof, P. R., Rosene, D. L., & Luebke, J. I. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2581-12.2012 · Cited by 111 · see citing works
Flexibility of Sensory Representations in Prefrontal Cortex Depends on Cell Type
Hussar, C. R., & Pasternak, T. (2009) · Neuron · doi:10.1016/j.neuron.2009.11.018 · Cited by 109 · see citing works
Self-citationGoldman, M. S., Compte, A., & Wang, X.-J. (2009) · Elsevier eBooks · doi:10.1016/b978-008045046-9.01434-0 · Cited by 77 · see citing works
Self-citationHussar, C. R., & Pasternak, T. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5135-11.2012 · Cited by 70 · see citing works
Self-citationDynamics of cortical neuronal ensembles transit from decision making to storage for later report
Ponce-Alvarez, A., Nácher, V., Luna, R., Riehle, A., & Romo, R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.6176-11.2012 · Cited by 59 · see citing works
Self-citationOgawa, T., & Komatsu, H. (2010) · Journal of Neurophysiology · doi:10.1152/jn.01066.2009 · Cited by 46 · see citing works
Area MT Neurons Respond to Visual Motion Distant From Their Receptive Fields
Zaksas, D., & Pasternak, T. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00505.2005 · Cited by 27 · see citing works
Self-citationNishida, S., Tanaka, T., Shibata, T., Ikeda, K., Aso, T., & Ogawa, T. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht031 · Cited by 19 · see citing works
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- [12]Goldman MS Compte A Wang X-J Encyclopedia of Neuroscience 2008 165 178 Academic Press Oxford
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Carhart-Harris, R. L., & Friston, K. J. (2019) · Pharmacological Reviews · doi:10.1124/pr.118.017160 · Cited by 1,180 · see citing works
Discovering Event Structure in Continuous Narrative Perception and Memory
Baldassano, C., Chen, J., Zadbood, A., Pillow, J. W., Hasson, U., & Norman, K. A. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.041 · Cited by 952 · see citing works
The Distributed Nature of Working Memory
Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J.-D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.12.007 · Cited by 882 · see citing works
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Stokes, M. G. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.05.004 · Cited by 850 · see citing works
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Hasson, U., Chen, J., & Honey, C. J. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.04.006 · Cited by 749 · see citing works
Miller, E. K., Lundqvist, M., & Bastos, A. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.023 · Cited by 797 · see citing works
Burt, J. B., Demirtaş, M., Eckner, W. J., Navejar, N. M., Ji, J. L., Martin, W. J., Bernacchia, A., Anticevic, A., & Murray, J. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0195-0 · Cited by 657 · see citing works
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Burt, J. B., Helmer, M., Shinn, M., Anticevic, A., & Murray, J. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117038 · Cited by 528 · see citing works
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Markello, R. D., Hansen, J. Y., Liu, Z.-Q., Bazinet, V., Shafiei, G., Suárez, L. E., Blostein, N., Seidlitz, J., Baillet, S., Satterthwaite, T. D., et al. (2022) · Nature Methods · doi:10.1038/s41592-022-01625-w · Cited by 479 · see citing works
The graphical brain: Belief propagation and active inference
Friston, K. J., Parr, T., & de Vries, B. (2017) · Network Neuroscience · doi:10.1162/netn_a_00018 · Cited by 415 · see citing works
Medial and orbital frontal cortex in decision-making and flexible behavior
Klein-Flügge, M. C., Bongioanni, A., & Rushworth, M. F. S. (2022) · Neuron · doi:10.1016/j.neuron.2022.05.022 · Cited by 244 · see citing works
Heeger, D. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619788114 · Cited by 220 · see citing works
Wagstyl, K., Larocque, S., Cucurull, G., Lepage, C., Cohen, J. P., Bludau, S., Palomero-Gallagher, N., Lewis, L. B., Funck, T., Spitzer, H., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000678 · Cited by 218 · see citing works
Mejias, J. F., Murray, J. D., Kennedy, H., & Wang, X.-J. (2016) · Science Advances · doi:10.1126/sciadv.1601335 · Cited by 227 · see citing works
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The brain and its time: intrinsic neural timescales are key for input processing
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Gupta, A., Wolff, A., & Northoff, D. G. (2021) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2021.111367 · Cited by 13 · see citing works
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AL, A., Ahn, A., Becker, N., Carroll, S., Christie, N., Cortes, M., Demirci, A., Du, M., Li, F., Luo, S., et al. (2024) · arXiv · doi:10.48550/arxiv.2411.00114 · Cited by 12 · see citing works
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- Authors
- Murray, J. D., Bernacchia, A., Freedman, D. J., Romo, R., Wallis, J. D., Cai, X., Padoa-Schioppa, C., Pasternak, T., Seo, H., Lee, D., & Wang, X.-J.
- Affiliations
- Yale University (US)
- Constructor University (DE)
- University of Chicago (US)
- National College (MX)
- Washington University in St. Louis (US)
- University of Rochester Medicine (US)
- New York University Shanghai (CN)
- Corresponding author
- Wang, Xiao-Jing
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2014-11-10
- Volume
- 17
- Issue
- 12
- Pages
- 1661-1663
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4241138
- OpenAlex
- W2066835186
- Cited by
- 990
- References
- 42
- Citations by year
- 2026: 123 · 2025: 123 · 2024: 117 · 2023: 104 · 2022: 91 · 2021: 99 · 2020: 87 · 2019: 63 · 2018: 80 · 2017: 54 · 2016: 22 · 2015: 23 · 2014: 2
- FWCI
- 18.77
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH062349)
- National Institute on Drug Abuse (R01-DA19028, R01DA019028, R01DA029330, R01DA032758)
- National Eye Institute (R01EY11749, F32EY015340, R01EY011749, T32-EY-07125, R01EY019041, T32EY007125, P30EY001319)
- National Institute of Neurological Disorders and Stroke (P01NS040813)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- intrinsic timescales, cortical hierarchy, primate cortex, sensory cortex, prefrontal cortex, neural oscillations
- MeSH terms
- Action Potentials, Animals, Cerebral Cortex, Female, Macaca, Male, Photic Stimulation, Primates, Psychomotor Performance, Time Factors
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