Michael B. Cohen
About
Michael B. Cohen has authored 65 papers that have received a total of 1.6k indexed citations.
This includes 18 papers in Cognitive Neuroscience, 11 papers in Artificial Intelligence and 9 papers in Computational Theory and Mathematics. The topics of these papers are Face Recognition and Perception (10 papers), Visual perception and processing mechanisms (10 papers) and Stochastic Gradient Optimization Techniques (9 papers). Michael B. Cohen is often cited by papers focused on Face Recognition and Perception (10 papers), Visual perception and processing mechanisms (10 papers) and Stochastic Gradient Optimization Techniques (9 papers) and collaborates with scholars based in United States, Israel and Germany. Michael B. Cohen's co-authors include George A. Alvarez, Yin Tat Lee, Cameron Musco, Nancy Kanwisher and Richard Peng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Cancer
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