Alexander Borst

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About

Alexander Borst is a pioneering neuroscientist whose research bridges computational biology, insect neurobiology, and robotics. His work has fundamentally advanced our understanding of how neural circuits process visual motion, particularly in the fruit fly *Drosophila*. Borst is best known for elucidating the algorithmic and circuit-level mechanisms underlying optic flow computation, demonstrating how direction-selective neurons in the fly's lobula plate extract motion cues from complex visual scenes. His landmark studies, including the development of the "Hassenstein-Reichardt correlator" model and the functional dissection of the T4/T5 cell pathways, have provided a canonical framework for motion detection. With over 10,000 citations, his contributions have not only shaped modern systems neuroscience but also inspired bio-inspired engineering: his 2012 paper on an insect-inspired high-speed motion vision system for robot control exemplifies this translational impact. Borst's work is celebrated for its elegant combination of electrophysiology, two-photon calcium imaging, and computational modeling, making him a leading figure in understanding how biological brains achieve robust, real-time visual processing.