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Active Research Projects
Neural network modeling of visual perception and cognition
Recent advances in neural network modeling have enabled major strides in computer vision and other artificial intelligence applications. Artificial neural networks are inspired by the brain, and their computations could be implemented in biological neurons. We seek to develop neural network models that can meet real-world computational challenges faced by biological visual systems and that can also explain detailed patterns of brain and behavioral responses.
Development of statistical inference and visualization methods
Computational neuroscience is entering a new era, where big models meet big data. We develop statistical inference and visualization techniques that help us connect theory and experiment, enabling us, for example, to adjudicate among many candidate neural network models using brain-activity measurements acquired with functional imaging and electrophysiological recordings in animals and humans.
Lab welcomes Dr. Hossein Adeli!
Dr. Hossein Adeli joined on June 1 to work on recurrent models of visual inference in the primate brain.
Congratulations to postdoc Heiko Schuett, who is starting a new role as associate professor at the University of Luxembourg!
The lab is recruiting a postdoctoral researcher for an NIH-funded project on primate face recognition. Learn more about the position and how to apply here.