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Andrew Straw

Researcher at University of Freiburg

Publications -  73
Citations -  3881

Andrew Straw is an academic researcher from University of Freiburg. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 27, co-authored 69 publications receiving 3267 citations. Previous affiliations of Andrew Straw include Research Institute of Molecular Pathology & University of Adelaide.

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Automated image-based tracking and its application in ecology

TL;DR: Automated image-based tracking should continue to advance the field of ecology by enabling better understanding of the linkages between individual and higher-level ecological processes, via high-throughput quantitative analysis of complex ecological patterns and processes across scales, including analysis of environmental drivers.
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Active flight increases the gain of visual motion processing in Drosophila

TL;DR: It is found that the peak-to-peak responses of a class of visual motion–processing interneurons, the vertical-system visual neurons (VS cells), doubled when flies were flying compared with when they were at rest, suggesting that the gain is not fixed, but is instead behaviorally flexible and changes with locomotor state.
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Vision egg: an open-source library for realtime visual stimulus generation.

TL;DR: The Vision Egg is a free, open-source library making use of OpenGL and written in the high-level language Python with extensions in C that is suitable for many psychophysical, electrophysiological, and behavioral experiments.
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Virtual reality for freely moving animals

TL;DR: By photorealistically mimicking zebrafish, the development of FreemoVR, a VR system for freely moving animals, is reported and it is discovered that effective social influence depends on a prospective leader balancing its internally preferred directional choice with social interaction.
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Multi-camera real-time three-dimensional tracking of multiple flying animals

TL;DR: A system capable of tracking the three-dimensional position and body orientation of animals such as flies and birds that operates with less than 40 ms latency and can track multiple animals simultaneously is described.