The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
A Neural Mechanism for Sensing and Reproducing a Time Interval
Open accessAbstract
Timing plays a crucial role in sensorimotor function. However, the neural mechanisms that enable the brain to flexibly measure and reproduce time intervals are not known. We recorded neural activity in parietal cortex of monkeys in a time reproduction task. Monkeys were trained to measure and immediately afterward reproduce different sample intervals. While measuring an interval, neural responses had a nonlinear profile that increased with the duration of the sample interval. Activity was reset during the transition from measurement to production and was followed by a ramping activity whose slope encoded the previously measured sample interval. We found that firing rates at the end of the measurement epoch were correlated with both the slope of the ramp and the monkey's corresponding production interval on a trial-by-trial basis. Analysis of response dynamics further linked the rate of change of firing rates in the measurement epoch to the slope of the ramp in the production epoch. These observations suggest that, during time reproduction, an interval is measured prospectively in relation to the desired motor plan to reproduce that interval.
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“Interestingly, a recent study by [63] showed that neurons in monkey area LIP exhibit activity that is correlated with temporal information.”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [63]
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Cites
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764
Self-citationTop-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices
Buschman, T. J., & Miller, E. K. (2007) · Science · doi:10.1126/science.1138071 · Cited by 2,380
What makes us tick? Functional and neural mechanisms of interval timing
Buhusi, C. V., & Meck, W. H. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1764 · Cited by 2,152
Neural Basis of a Perceptual Decision in the Parietal Cortex (Area LIP) of the Rhesus Monkey
Shadlen, M. N., & Newsome, W. T. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.1916 · Cited by 1,755
Self-citationNeural correlates of decision variables in parietal cortex
Platt, M. L., & Glimcher, P. W. (1999) · Nature · doi:10.1038/22268 · Cited by 1,721
Roitman, J. D., & Shadlen, M. N. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-21-09475.2002 · Cited by 1,589 · cited 3×
“The function of this so-called dip, which has been observed in different oculomotor areas [24, 37–39], is unclear.”
Self-citationAndersen, R. A., Snyder, L. H., Bradley, D. C., & Xing, J. (1997) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.20.1.303 · Cited by 1,486
Intentional Maps in Posterior Parietal Cortex
Andersen, R. A., & Buneo, C. A. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142922 · Cited by 1,294 · cited 1×
“As many previous studies have shown, this experimental design exploits the spatial tuning of LIP neurons to investigate the computational mechanisms of various cognitive functions such as anticipation, planning, and decision making [13, 18, 28, 30–33].”
Neural Control of Voluntary Movement Initiation
Hanes, D. P., & Schall, J. D. (1996) · Science · doi:10.1126/science.274.5286.427 · Cited by 1,145
Gallistel, C. R., & Gibbon, J. (2000) · Psychological Review · doi:10.1037/0033-295x.107.2.289 · Cited by 1,134
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Monier, F. (2019) · theses.fr (ABES) · doi:10.70675/95469b29zcb9cz42cczb018z1f5258b1dadb
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Zalta, A. (2022) · theses.fr (ABES) · doi:10.70675/2328afbbzf1ddz47d2z9376z80950d338df1
Poursadegh, A., Zekri, M., Weng, G., Aghdam, A. A., Clark, K., Rabbani, H., Noudoost, B., & Nategh, N. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.16.732385
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Barbosa, P., Ferreira, F., Bicho, E. G., & Erlhagen, W. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38398-3_5
Viegas, J. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2631778123
Nair, V., Agnel, O., Mızrak, E., & Manohar, S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.02.755939
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Waters, J. R., Madeira, B., Shadlen, M. N., & Shushruth, S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.12.758574
Self-citation
Metadata
- Authors
- Jazayeri, M., & Shadlen, M. N.
- Affiliations
- McGovern Institute for Brain Research (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Jazayeri, Mehrdad
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 25
- Issue
- 20
- Pages
- 2599-2609
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC4618078
- OpenAlex
- W2167786450
- Cited by
- 210
- References
- 51
- Citations by year
- 2026: 11 · 2025: 14 · 2024: 17 · 2023: 20 · 2022: 38 · 2021: 17 · 2020: 19 · 2019: 16 · 2018: 22 · 2017: 19 · 2016: 15 · 2015: 2
- FWCI
- 11.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- PMC
- Funders
- Howard Hughes Medical Institute
- Helen Hay Whitney Foundation
- National Eye Institute (EY11378, EY-01730, R01EY011378, P30EY001730)
- National Institute of Neurological Disorders and Stroke (R01NS078127)
- National Center for Research Resources (RR000166, P51RR000166)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- time interval measurement, parietal cortex, neural activity dynamics, firing rate dynamics, sensorimotor timing, prospective timing, motor planning
- MeSH terms
- Action Potentials, Animals, Macaca mulatta, Motor Activity, Motor Neurons, Parietal Lobe, Time Perception
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