Gabriel Kreiman
Principle Investigator
Children’s Hospital, Harvard Medical School
Gabriel Kreiman combines computational models, neurophysiological recordings and behavioral experiments to investigate the neural circuits mechanisms that underlie visual cognition and visual learning.
Key publications:
Kreiman Gabriel and Serre Thomas, “Beyond the feedforward sweep: feedback computations in the visual cortex”, Ann N Y Acad Sci. 1464:222-241, klab.tch.harvard.edu/publications/PDFs/gk7812.pdf
Ponce C.R., Xiao W., Schade P.F., Hartmann T.S., Kreiman G., Livingstone M. ,” Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences”, Cell, 177:999-1009, klab.tch.harvard.edu/publications/PDFs/gk7790.pdf