Analysis of neuronal interactions during adaptation and learning in motor control of primates. A model independent approach using information theory

Narayanan Krishnamurthi; D. J. Weber; Jiping He; A. Prasad; L. D. Iasemidis

Analysis of neuronal interactions during adaptation and learning in motor control of primates. A model independent approach using information theory

Narayanan Krishnamurthi, D. J. Weber, Jiping He, A. Prasad, L. D. Iasemidis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this study, we investigate how neurons from different cortices of the brain interact with each other during learning of a task, and how they adapt after perturbation in rhesus monkeys. The level of interaction between neurons over time was estimated through a nonparametric approach by calculating the mutual information between their neural spike trains. It was observed that the average mutual information between neurons was increased significantly within the motor cortex and between the motor and sensory cortices of the brain during the last days of the experiment. Moreover, the increased interactions within the motor cortex were observed before the onset of expected perturbations of arm movements, indicating that the neurons interact well in advance in anticipation of a perturbation, and coordinate their activity to adapt to the task faster and more successfully.

Original language	English (US)
Title of host publication	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages	2552-2553
Number of pages	2
Volume	3
State	Published - 2002
Event	Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: Oct 23 2002 → Oct 26 2002

Other

Other	Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)
Country/Territory	United States
City	Houston, TX
Period	10/23/02 → 10/26/02

Keywords

Adaptation
Learning
Motor control
Mutual information
Neural spike trains

ASJC Scopus subject areas

Bioengineering

Cite this

Analysis of neuronal interactions during adaptation and learning in motor control of primates. A model independent approach using information theory. / Krishnamurthi, Narayanan; Weber, D. J.; He, Jiping et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 3 2002. p. 2552-2553.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Krishnamurthi, N, Weber, DJ, He, J, Prasad, A & Iasemidis, LD 2002, Analysis of neuronal interactions during adaptation and learning in motor control of primates. A model independent approach using information theory. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 3, pp. 2552-2553, Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS), Houston, TX, United States, 10/23/02.

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AB - In this study, we investigate how neurons from different cortices of the brain interact with each other during learning of a task, and how they adapt after perturbation in rhesus monkeys. The level of interaction between neurons over time was estimated through a nonparametric approach by calculating the mutual information between their neural spike trains. It was observed that the average mutual information between neurons was increased significantly within the motor cortex and between the motor and sensory cortices of the brain during the last days of the experiment. Moreover, the increased interactions within the motor cortex were observed before the onset of expected perturbations of arm movements, indicating that the neurons interact well in advance in anticipation of a perturbation, and coordinate their activity to adapt to the task faster and more successfully.

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Analysis of neuronal interactions during adaptation and learning in motor control of primates. A model independent approach using information theory

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Keywords

ASJC Scopus subject areas

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