A Computational Cognitive and Visual Neuroscience Laboratory
Through experience, we learn to interpret the sights and sounds around us and to make decisions that move us closer to achieving our goals. Our ability to learn from and adapt to our ever changing environment is a foundation of complex behavior, as it allows us to make sense of incoming sensory stimuli and to plan successful actions. To study these questions, our laboratory uses advanced neurophysiological and behavioral techniques, in parallel with machine learning approaches for studying cognitive computations in artificial neural networks. Together, our work is providing insights into the brain mechanisms of visual learning, recognition and decision making.
LAB NEWS
Februrary 2026
How broadly are distributed brain areas engaged in cognition? See our latest article in Nature Reviews Neuroscience.
July 2025
Congrats to Matt Rosen on his successful Ph.D. defense and his postdoctoral position at Columbia University!
April 2025
FreedmanLab Ph.D. student Matt Rosen’s new paper in PNAS gives insight into the recruitment of oculomotor system in cognition.
October 2024
Our paper showing that superior colliculus is engaged in abstract categorical decisions is published in Nature Neuroscience!
January 2024
Congrats to graduate student Rory Cooley on her NRSA fellowship!
May 2023
Our collaborative work just published in Nature Neuroscience on computations underlying schema learning with Wang and Buffalo labs!
February 2023
Congratulations to graduate student Barbara Peysakhovich on her successful Ph.D. thesis defense!