Rate My Professor Bence Olveczky

The Ölveczky Lab investigates the principles and mechanisms by which neural circuits in the mammalian brain acquire, learn, and generate complex behaviors, both innate and learned. Employing rats as a tractable model organism, the lab utilizes a suite of advanced techniques including fully automated high-throughput behavioral training systems, continuous long-term neural recordings, high-resolution 3D behavioral tracking, optogenetics, pharmacogenetics, and sophisticated computational analyses. In collaboration with DeepMind, the lab has developed a biomechanically realistic virtual rodent driven by artificial neural networks that recapitulates diverse rat behaviors. Key findings delineate the distinct contributions of motor cortex, basal ganglia, striatum, and thalamic inputs to motor skill learning and execution, including how the brain decouples learning from performance, regulates kinematic variability, and handles flexible versus automatic movements. Ölveczky's contributions have profoundly shaped systems neuroscience. He has garnered major awards such as the Sloan Fellowship (2009), McKnight Scholar Award (2008), Klingenstein Fellowship (2008), Mind Brain Behavior Faculty Award (2014), Distinguished Kavli Lecturer (2015), and Simons Foundation Autism Research Initiative Consortium 2.0 Award (2025). Representative publications include 'Motor cortex is required for learning but not for executing a motor skill' (Neuron, 2015), 'Acute off-target effects of neural circuit manipulations' (Nature, 2015), 'The role of motor cortex in motor sequence execution depends on demands for flexibility' (Nature, 2024), and 'A virtual rodent predicts the structure of neural activity across behaviours' (Nature, 2024).