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Flexible timing by temporal scaling of cortical responses. / Wang, Jing; Narain, D.; Hosseini, Eghbal A; Jazayeri, Mehrdad.

In: Nature Neuroscience, Vol. 21, 05.01.2018, p. 102-110.

Research output: Scientific - peer-reviewArticle

Harvard

Wang, J, Narain, D, Hosseini, EA & Jazayeri, M 2018, 'Flexible timing by temporal scaling of cortical responses' Nature Neuroscience, vol 21, pp. 102-110. DOI: 10.1038/s41593-017-0028-6

APA

Wang, J., Narain, D., Hosseini, E. A., & Jazayeri, M. (2018). Flexible timing by temporal scaling of cortical responses. Nature Neuroscience, 21, 102-110. DOI: 10.1038/s41593-017-0028-6

Vancouver

Wang J, Narain D, Hosseini EA, Jazayeri M. Flexible timing by temporal scaling of cortical responses. Nature Neuroscience. 2018 Jan 5;21:102-110. Available from, DOI: 10.1038/s41593-017-0028-6

Author

Wang, Jing; Narain, D.; Hosseini, Eghbal A; Jazayeri, Mehrdad / Flexible timing by temporal scaling of cortical responses.

In: Nature Neuroscience, Vol. 21, 05.01.2018, p. 102-110.

Research output: Scientific - peer-reviewArticle

BibTeX

@article{c0951c4265dc493d91100bf68c133c42,
title = "Flexible timing by temporal scaling of cortical responses",
abstract = "Musicians can perform at different tempos, speakers can control the cadence of their speech, and children can flexibly vary their temporal expectations of events. To understand the neural basis of such flexibility, we recorded from the medial frontal cortex of nonhuman primates trained to produce different time intervals with different effectors. Neural responses were heterogeneous, nonlinear, and complex, and they exhibited a remarkable form of temporal invariance: firing rate profiles were temporally scaled to match the produced intervals. Recording from downstream neurons in the caudate and from thalamic neurons projecting to the medial frontal cortex indicated that this phenomenon originates within cortical networks. Recurrent neural network models trained to perform the task revealed that temporal scaling emerges from nonlinearities in the network and that the degree of scaling is controlled by the strength of external input. These findings demonstrate a simple and general mechanism for conferring temporal flexibility upon sensorimotor and cognitive functions.",
keywords = "Journal Article",
author = "Jing Wang and D. Narain and Hosseini, {Eghbal A} and Mehrdad Jazayeri",
year = "2018",
month = "1",
doi = "10.1038/s41593-017-0028-6",
volume = "21",
pages = "102--110",
journal = "Nature Neuroscience",
issn = "1097-6256",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - Flexible timing by temporal scaling of cortical responses

AU - Wang,Jing

AU - Narain,D.

AU - Hosseini,Eghbal A

AU - Jazayeri,Mehrdad

PY - 2018/1/5

Y1 - 2018/1/5

N2 - Musicians can perform at different tempos, speakers can control the cadence of their speech, and children can flexibly vary their temporal expectations of events. To understand the neural basis of such flexibility, we recorded from the medial frontal cortex of nonhuman primates trained to produce different time intervals with different effectors. Neural responses were heterogeneous, nonlinear, and complex, and they exhibited a remarkable form of temporal invariance: firing rate profiles were temporally scaled to match the produced intervals. Recording from downstream neurons in the caudate and from thalamic neurons projecting to the medial frontal cortex indicated that this phenomenon originates within cortical networks. Recurrent neural network models trained to perform the task revealed that temporal scaling emerges from nonlinearities in the network and that the degree of scaling is controlled by the strength of external input. These findings demonstrate a simple and general mechanism for conferring temporal flexibility upon sensorimotor and cognitive functions.

AB - Musicians can perform at different tempos, speakers can control the cadence of their speech, and children can flexibly vary their temporal expectations of events. To understand the neural basis of such flexibility, we recorded from the medial frontal cortex of nonhuman primates trained to produce different time intervals with different effectors. Neural responses were heterogeneous, nonlinear, and complex, and they exhibited a remarkable form of temporal invariance: firing rate profiles were temporally scaled to match the produced intervals. Recording from downstream neurons in the caudate and from thalamic neurons projecting to the medial frontal cortex indicated that this phenomenon originates within cortical networks. Recurrent neural network models trained to perform the task revealed that temporal scaling emerges from nonlinearities in the network and that the degree of scaling is controlled by the strength of external input. These findings demonstrate a simple and general mechanism for conferring temporal flexibility upon sensorimotor and cognitive functions.

KW - Journal Article

U2 - 10.1038/s41593-017-0028-6

DO - 10.1038/s41593-017-0028-6

M3 - Article

VL - 21

SP - 102

EP - 110

JO - Nature Neuroscience

T2 - Nature Neuroscience

JF - Nature Neuroscience

SN - 1097-6256

ER -

ID: 5866552