Jerome A. Feldman

International Computer Science Institute, University of California, Berkeley

Papers

Total Citations

134

H-Index

About

Jerome A. Feldman is a pioneering researcher whose work bridges cognitive science, artificial intelligence, and computational neuroscience. His key research areas include vision science, natural language processing, human-robot interaction, and structured connectionist architectures for reasoning. Feldman's major contributions center on understanding how the brain computes complex cognitive processes, particularly through his influential work on cooperative computation in vision systems. His edited volume "Vision, Brain, and Cooperative Computation" (1987) remains a seminal resource, with 113 citations, bringing together neurophysiology, psychophysics, and computer science to explore optimal computational structures for visual systems. He has also advanced natural language interfaces for human-robot interaction, developing deep semantic analysis methods grounded in cognitive linguistics and embodied construction grammar. His Shruti-agent architecture (2003) addresses the grand challenge of modeling how the human brain achieves inference and decision-making through structured connectionist approaches. Additionally, his work on concurrent, real-time action architectures (2010) captures essential properties like compositionality and resilience. Feldman's interdisciplinary approach continues to influence researchers seeking to understand and replicate the brain's remarkable computational capabilities.