Fly visual course control: behaviour, algorithms and circuits

Borst, Alexander

doi:10.1038/nrn3799

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Fly visual course control: behaviour, algorithms and circuits

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Borst, Alexander
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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

Cite as: https://hdl.handle.net/11858/00-001M-0000-0023-E927-2

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.