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  Neural Algorithms and Circuits for Motor Planning

Inagaki, H. K., Chen, S., Daie, K., Finklestein, A., Fontolan, L., Romani, S., et al. (2022). Neural Algorithms and Circuits for Motor Planning. Annual Review of Neuroscience. Retrieved from https://doi.org/10.1146/annurev-neuro-092021-121730.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-FBE3-A Version Permalink: https://hdl.handle.net/21.11116/0000-000B-FBE4-9
Genre: Journal Article
Alternative Title : Annual Review of Neuroscience

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 Creators:
Inagaki, Hidehiko K.1, Author
Chen, Susu, Author
Daie, Kayvon, Author
Finklestein, Arseny, Author
Fontolan, Lorenzo, Author
Romani, Sandro, Author
Svoboda, Karel, Author
Affiliations:
1Max Planck Florida Institute for Neuroscience, Max Planck Society, One Max Planck Way, Jupiter FL 33458, USA, ou_1950288              

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 Abstract: The brain plans and executes volitional movements. The underlying patterns of neural population activity have been explored in the context of movements of the eyes, limbs, tongue, and head in nonhuman primates and rodents. How do networks of neurons produce the slow neural dynamics that prepare specific movements and the fast dynamics that ultimately initiate these movements? Recent work exploits rapid and calibrated perturbations of neural activity to test specific dynamical systems models that are capable of producing the observed neural activity. These joint experimental and computational studies show that cortical dynamics during motor planning reflect fixed points of neural activity (attractors). Subcortical control signals reshape and move attractors over multiple timescales, causing commitment to specific actions and rapid transitions to movement execution. Experiments in rodents are beginning to reveal how these algorithms are implemented at the level of brain-wide neural circuits. Expected final online publication date for the Annual Review of Neuroscience, Volume 45 is July 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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 Dates: 2022
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: URI: https://doi.org/10.1146/annurev-neuro-092021-121730
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Title: Annual Review of Neuroscience
  Alternative Title : Annu. Rev. Neurosci.
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISBN: 0147-006X