Seeing things in motion: Models, circuits, and mechanisms

Borst, Alexander; Euler, Thomas

doi:10.1016/j.neuron.2011.08.031

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Seeing things in motion: Models, circuits, and mechanisms

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Borst, Alexander
Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society;

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Citation

Borst, A., & Euler, T. (2011). Seeing things in motion: Models, circuits, and mechanisms. Neuron, 71(6), 974-994. doi:10.1016/j.neuron.2011.08.031.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0012-30A9-1

Abstract

Motion vision provides essential cues for navigation and course control
as well as for mate, prey, or predator detection. Consequently, neurons
responding to visual motion in a direction-selective way are found in
almost all species that see. However, directional information is not
explicitly encoded at the level of a single photoreceptor. Rather, it
has to be computed from the spatio-temporal excitation level of at
least two photoreceptors. How this computation is done and how this
computation is implemented in terms of neural circuitry and membrane
biophysics have remained the focus of intense research over many
decades. Here, we review recent progress made in this area with an
emphasis on insects and the vertebrate retina.