Started at 09 .15 - A WHOLE DAY symposium celebrating the work of Mike Land
Animal Vision - The work of Mike Land · University of Sussex
Thu, Apr 27, 2023 · 15:15 UTC
Note: British 16.15 is the finishing time
Animal Vision - The work of Mike Land · University of Sussex
Thu, Apr 27, 2023 · 15:15 UTC
Note: British 16.15 is the finishing time
Eleanor Caves & Vivienne Foroughirad · University of California, Santa Barbara & Georgetown University
Tue, Apr 18, 2023 · 05:00 UTC
Sam A. Golden · University of Washington, Department of Biological Structure
Fri, Jul 16, 2021 · 07:00 UTC
Several excellent computational frameworks exist that enable high-throughput and consistent tracking of freely moving unmarked animals. SimBA introduce and distribute a plug-and play pipeline that enables users to use these pose-estimation approaches in combination with behavioral annotation for the generation of supervised machine-learning behavioral predictive classifiers. SimBA was developed for the analysis of complex social behaviors, but includes the flexibility for users to generate predictive classifiers across other behavioral modalities with minimal effort and no specialized compu
Daniel Tomsic · University of Buenos Aires
Wed, Oct 21, 2020 · 13:30 UTC
Investigations of the neurophysiological processes underlying animal behaviors are almost exclusively done inside the laboratory, typically using few animal models born and reared under artificially stabilized conditions. Yet, animals living in the wild have to cope with much complex and variable environments. Thus, while the laboratory provides the technical possibilities for physiological research, the field offers a more realistic perspective about the animal´s behavioral abilities. We study neural circuits underlying the visually guided prey and predator behaviors in a semiterrestrial crab
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