معرفی
Eero P Simoncelli is a Silver Professor at New York University, holding appointments in the Department of Neural Science, Mathematics, Data Science, and Psychology within the College of Arts & Science. He is affiliated with the Howard Hughes Medical Center and leads a research lab focusing on computational neuroscience and visual/auditory perception. Simoncelli earned his Ph.D. in 1993 from MIT. His research integrates statistical signal processing with neurobiological insights to understand sensory systems.
Education: Ph.D. 1993, Massachusetts Institute of Technology.
Research interests include computational modeling of visual and auditory perception, statistical image/signal processing, and neural coding mechanisms. His work bridges machine learning, neuroscience, and applied mathematics, with recent focus on motion detection, neural population coding, and hierarchical cortical models. Notable projects involve mapping spatial frequency selectivity in human visual cortex and developing biologically inspired AI architectures.
Publications span topics like motion perception, neural circuit dynamics, and generative models for video prediction. His lab's work emphasizes practical applications in neuroscience and AI through tools like the Plenoptic stimulus synthesis platform. Simoncelli collaborates across disciplines to advance neuroAI integration and deep learning theory grounded in biological principles.
