Jerome A. Feldman

Jerome A. Feldman is a Professor Emeritus in the Department of Computer Science at the University of California, Berkeley. His research interests include Artificial Intelligence (AI), Biosystems & Computational Biology (BIO), and Security (SEC). Feldman's work spans cognitive science, with notable contributions to computational cognitive linguistics and neural theories of language. He has been affiliated with research centers such as the Berkeley Artificial Intelligence Research Lab (BAIR) and the Berkeley Center for New Media (BCNM). His publications include books and technical reports on topics such as embodied meaning and cognitive science. Feldman's academic profile is available at https://www2.eecs.berkeley.edu/Faculty/Homepages/feldman.html, and he can be contacted via email at jfeldman@cs.berkeley.edu.

Jerome Feldman is a Professor of Computer Science at UC Berkeley, specializing in Artificial Intelligence. His research explores foundational aspects of cognition, including neural theories of language, embodied meaning, and the neural binding problem. Feldman's work integrates connectionist models with cognitive science, focusing on how neural networks can simulate cognitive processes such as visual memory, conceptual knowledge, and decision-making. His publications address topics like parallel distributed processing, grammatical inference, and structured neural networks, emphasizing the interplay between computation and cognition. Feldman's contributions span both theoretical and applied aspects of artificial intelligence, with a focus on understanding the computational principles underlying human thought.