جستجوی استاد راهنمای دانشگاهی

Tomaso Poggioمشاهده پروفایل

استاد

• Computational Neuroscience
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Tomaso Poggio serves as the Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology and holds appointments at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He is a founding member of the McGovern Institute for Brain Research and currently directs the Center for Brains, Minds, and Machines (CBMM), a major NSF-funded collaboration headquartered at the McGovern Institute. His educational background includes: Ph.D. in Electrical Engineering and Computer Science, University of Genoa (1970) Poggio's research fundamentally bridges computational neuroscience and artificial intelligence, investigating how biological vision systems operate and how these principles inform machine learning architectures. His work spans theoretical foundations of learning algorithms, neural network modeling, and computer vision systems that emulate biological processes. Key contributions include regularization theory for learning, feedforward models of rapid object recognition, and mathematical analyses of deep versus shallow networks. Analysis of his publication history (1990-2016) reveals an evolving trajectory from foundational learning theory toward deep neural networks and biological vision modeling, with consistent emphasis on mathematical rigor. His recent work (2014-2016) demonstrates strong integration of computational neuroscience with deep learning, particularly in visual cortex modeling and face recognition systems. His distinguished scientific recognition includes: Foreign Membership in the Italian Academy of Sciences Fellowship in the American Academy of Arts and Sciences 2014 Swartz Prize for Theoretical and Computational Neuroscience As director of the Center for Brains, Minds, and Machines, Poggio leads one of the largest interdisciplinary collaborations in computational neuroscience, securing substantial NSF funding to advance research at the intersection of neuroscience, cognitive science, and artificial intelligence. While specific graduate students aren't listed in source materials, his leadership positions indicate extensive mentorship within the CBMM consortium. His laboratory ecosystem centers around the McGovern Institute and CBMM, which unites over 100 researchers from MIT, Harvard, Carnegie Mellon, and Rockefeller University to investigate intelligence through computational, neural, and behavioral approaches.

Richard Kempterمشاهده پروفایل

استاد

• Computational Neuroscience
• Memory Systems
• Hippocampal Circuitry
• +۵ مورد دیگر

Richard Kempter is a Professor at Charité - Universitätsmedizin Berlin's Institute of Neuroscience, where he leads research in computational neuroscience with a focus on hippocampal circuitry and memory systems. His work bridges experimental neuroscience with theoretical modeling, examining how neural networks support spatial navigation, memory formation, and consolidation processes. His research interests center on the computational principles underlying hippocampal function, particularly in memory consolidation, spatial navigation, and neural coding. Kempter investigates how hippocampal circuits generate sharp wave-ripple events, how grid cells form spatial representations, and how memory traces transform during systems consolidation. His work combines computational modeling with experimental data analysis to develop testable theories about neural mechanisms. Analyzing Kempter's recent publications reveals a strong focus on hippocampal CA3 circuitry, with particular attention to sharp wave-ripple complexes and their role in memory consolidation. His work demonstrates how specific connectivity patterns between pyramidal neuron subtypes enable memory replay, while his computational models explain how grid-like representations emerge in entorhinal cortex. The research spans multiple scales from single-cell properties to network dynamics, with applications to both rodent and human memory systems. Kempter's scientific contributions have appeared in top-tier journals including Nature , Neuron , and PNAS , reflecting the significance of his work in understanding fundamental neural mechanisms. His publications demonstrate consistent innovation in developing computational frameworks that explain experimental observations while generating new testable predictions about memory systems. His research team collaborates extensively across institutions, working with experimental neuroscientists to bridge theoretical models with empirical data. Current projects examine how neural synchrony creates functional filters during rest states, how population sparseness affects memory capacity, and how subtype-specific connectivity enables sequential activation during memory replay events.

• Neuroscience
• Brain Circuit Development
• Visual System
• +۵ مورد دیگر

Michael C. Crair is the William Ziegler III Professor of Neuroscience and Professor of Ophthalmology & Visual Science at Yale University, where he also serves as Vice Provost for Research. He holds primary appointments in the Department of Neuroscience and secondary appointments in Ophthalmology & Visual Science, with additional affiliations across multiple neuroscience programs including the Interdepartmental Neuroscience Program, Kavli Institute for Neuroscience, Swartz Program in Theoretical Neurobiology, Wu Tsai Institute, and Yale Combined Program in the Biological and Biomedical Sciences (BBS). Dr. Crair's educational background includes: PhD in Physics from University of California, Berkeley (1991) MA in Physics from University of California, Berkeley (1987) AB in Physics from University of California, Berkeley (1985) Postdoctoral training in physics and neuroscience at Kyoto University and Kyoto Prefectural Medical School (1993) Postdoctoral training in neuroscience at University of California, San Francisco (1997) His research focuses on neural activity in the developing brain, with particular emphasis on how spontaneous neuronal activity contributes to normal brain development. Dr. Crair has made fundamental contributions to understanding brain circuit development through the development and application of advanced imaging techniques. His laboratory investigates the mechanisms by which spontaneous activity is generated and how it shapes brain circuit development, with specific interests in visual system development and neural plasticity. Analysis of his recent publications reveals a strong focus on neural connectivity, spontaneous activity patterns, and imaging methodologies. His work spans multiple model systems and employs cutting-edge techniques including fMRI, calcium imaging, and dual-modal imaging approaches to study brain development and function at various scales. Dr. Crair has received numerous honors including: Esther A. and Joseph Klingenstein Foundation Fellowship Award in the Neurosciences Marc Dresden Excellence in Graduate Education Award NARSAD-Sidney R. Baer Jr. Foundation Young Investigator Award Alfred P. Sloan Foundation Research Fellow John Merck Fund Scholar March of Dimes Foundation's Basil O'Connor Fellow Administratively, Dr. Crair has directed Yale's Vision Core Program and the Graduate Program in Neuroscience. He served as Deputy Chair of the Department of Neuroscience from 2015-2017, then as Deputy Dean for Scientific Affairs (Basic Science Departments) at the School of Medicine from 2017-2020 before becoming Vice Provost for Research at Yale University. His laboratory continues to maintain an active research program examining fundamental mechanisms of brain circuit development.