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  Fly visual course control: behaviour, algorithms and circuits

Borst, A. (2014). Fly visual course control: behaviour, algorithms and circuits. NATURE REVIEWS NEUROSCIENCE, 15(9), 590-599. doi:10.1038/nrn3799.

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 Creators:
Borst, Alexander1, Author           
Affiliations:
1Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society, ou_1113548              

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Free keywords: BLOWFLY CALLIPHORA-ERYTHROCEPHALA; NECK MOTOR-NEURONS; MOTION SENSITIVE INTERNEURONS; FIGURE-GROUND DISCRIMINATION; GIANT VERTICAL CELLS; DROSOPHILA-MELANOGASTER; LOBULA PLATE; OPTIC-FLOW; FRUIT-FLY; SYNAPTIC ORGANIZATION
 Abstract: Understanding how the brain controls behaviour is undisputedly one of the grand goals of neuroscience research, and the pursuit of this goal has a long tradition in insect neuroscience. However, appropriate techniques were lacking for a long time. Recent advances in genetic and recording techniques now allow the participation of identified neurons in the execution of specific behaviours to be interrogated. By focusing on fly visual course control, I highlight what has been learned about the neuronal circuit modules that control visual guidance in Drosophila melanogaster through the use of these techniques.

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Language(s): eng - English
 Dates: 2014-09
 Publication Status: Issued
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000341329600009
DOI: 10.1038/nrn3799
 Degree: -

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Title: NATURE REVIEWS NEUROSCIENCE
Source Genre: Journal
 Creator(s):
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Publ. Info: MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND : NATURE PUBLISHING GROUP
Pages: - Volume / Issue: 15 (9) Sequence Number: - Start / End Page: 590 - 599 Identifier: ISSN: 1471-003X