Björn Brembs is a Professor of neurobiology at Universität Regensburg with over a decade of focused research on how brains generate spontaneous behavior and use operant learning to shape adaptive choice. He studies predictive learning by contrasting operant and classical conditioning in model systems from Drosophila to Aplysia, combining behavioral paradigms with opto- and electrophysiology, genetics, isolated nervous system conditioning and computational modeling. His work reframes brain function as an output/input system that actively generates behavior and selectively monitors sensory feedback—a perspective that is increasingly central to his lab’s experiments. Beyond learning and decision-making, his interests have spanned aggression neurobiology, behavioral ecology and the evolution of cooperation, reflecting a broad evolutionary approach. Active in scholarly communication, he serves as a Faculty of 1000 member and has extensive editorial experience with journals like PLoS One and JoVE. Based in Regensburg, Germany, he brings a rare blend of hands-on experimental technique and theoretical synthesis to questions about the neural basis of choice.
11 years of coding experience
14 years of employment as a software developer
PhD, Neurogenetics, PhD, Neurogenetics at Julius-Maximilians-Universität Würzburg
Dr. rer. nat., Biology, General, Dr. rer. nat., Biology, General at The Julius Maximilians University of Würzburg
The data model for Drosophila Time Series experiments
Contributions:2 releases, 19 pushes, 1 branch in 5 years 10 months
time-seriesdrosophiladata-model
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