Collision Avoidance: Broadening the Toolkit for Directionally Selective Motion Computations

Fabrizio Gabbiani; Richard B Dewell

doi:10.1016/j.cub.2017.12.010

Collision Avoidance: Broadening the Toolkit for Directionally Selective Motion Computations

Curr Biol. 2018 Feb 5;28(3):R124-R126. doi: 10.1016/j.cub.2017.12.010.

Authors

Fabrizio Gabbiani¹, Richard B Dewell²

Affiliations

¹ Department of Neuroscience, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA. Electronic address: gabbiani@bcm.edu.
² Department of Neuroscience, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA.

PMID: 29408261
DOI: 10.1016/j.cub.2017.12.010

Abstract

Visually-guided escape behaviors are critical for survival. New research reveals how neurons selectively coding for local motion directions can be assembled into collision detecting ones using a simple recipe.

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MeSH terms

Motion
Motion Perception*
Neurons