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  Whole-brain activity maps reveal stereotyped, distributed networks for visuomotor behavior

Portugues, R., Feierstein, C. E., Engert, F., & Orger, M. B. (2014). Whole-brain activity maps reveal stereotyped, distributed networks for visuomotor behavior. Neuron, 81(6), 1328-1343. doi:10.1016/j.neuron.2014.01.019.

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Portugues, R.1, Author           
Feierstein, C. E., Author
Engert, F., Author
Orger, M. B., Author
Affiliations:
1Harvard University, Cambridge, Massachusetts, USA , ou_persistent22              

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Free keywords: direction-selective neurons visual response properties accessory optic-system cellular resolution neural activity eye-movements larval zebrafish tectum circuit identification Neurosciences & Neurology
 Abstract: Most behaviors, even simple innate reflexes, are mediated by circuits of neurons spanning areas throughout the brain. However, in most cases, the distribution and dynamics of firing patterns of these neurons during behavior are not known. We imaged activity, with cellular resolution, throughout the whole brains of zebrafish performing the optokinetic response. We found a sparse, broadly distributed network that has an elaborate but ordered pattern, with a bilaterally symmetrical organization. Activity patterns fell into distinct clusters reflecting sensory and motor processing. By correlating neuronal responses with an array of sensory and motor variables, we find that the network can be clearly divided into distinct functional modules. Comparing aligned data from multiple fish, we find that the spatiotemporal activity dynamics and functional organization are highly stereotyped across individuals. These experiments systematically reveal the functional architecture of neural circuits underlying a sensorimotor behavior in a vertebrate brain.

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Language(s): eng - English
 Dates: 2014
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: WOS:000333326000013
DOI: 10.1016/j.neuron.2014.01.019
ISSN: 0896-6273
 Degree: -

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Title: Neuron
Source Genre: Journal
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Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 81 (6) Sequence Number: - Start / End Page: 1328 - 1343 Identifier: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565