Tomaso A. Poggio

Affiliations:

Massachusetts Institute of Technology, Cambridge, MA, United States

Area:

Computation

Website:

http://cbcl.mit.edu/people/poggio/poggio-new.htm

Google:

"Tomaso Poggio"

Bio:

Tomaso A. Poggio, is the Eugene McDermott Professor at the Department of Brain and Cognitive Sciences; Co-Director, Center for Biological and Computational Learning; Member for the last 27 years of the Computer Science and Artificial Intelligence Laboratory at MIT; since 2000, member of the faculty of the McGovern Institute for Brain Research.

Prof. Poggio is one of the founders of computational neuroscience. He pioneered models of the fly’s visual system and of human stereovision, introduced regularization theory to computational vision, made key contributions to the biophysics of computation and to learning theory, developed an influential model of recognition in the visual cortex.

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Mean distance: 11.88 (cluster 29)

Cross-listing: MathTree

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Parents

Antonio Borsellino	grad student	1970	Università degli Studi di Genova
(PhD Dissertation: On Holographic Models of Memory)
David Marr	research scientist	1971-1981	MIT
Werner Reichardt	research scientist	1971-1981	MPI Tuebingen

Children

G. Rodrigo Sigala A.	research assistant		MIT-Picower Institute for Learning and Memory
Angela J. Yu	research assistant	1998-2000	Brain and Cognitive Science, MIT
Nikon A. Rasumov	research assistant	2007-2007	Brain and Cognitive Science, MIT
Luke Arend	research assistant	2017-2018	MIT
Theodoros Evgeniou	grad student		MIT (MathTree)
Lyle J. GRAHAM	grad student		CNRS, France
Leyla Isik	grad student
Pawan Sinha	grad student		MIT
Stanley Michael Bileschi	grad student	2000-	MIT
Christof Koch	grad student	1982	Universität Tübingen
Anya Hurlbert	grad student	1989	MIT
Thomas M. Breuel	grad student	1986-1992	MIT
Partha Niyogi	grad student	1995	MIT
Max Riesenhuber	grad student	2000	MIT
Sayan Mukherjee	grad student	2001	MIT
Gene W. Yeo	grad student	2004	MIT
Charles F. Cadieu	grad student	2004-2005	MIT
Alexander Rakhlin	grad student	2006	MIT
Sanmay Das	grad student	2001-2006	MIT
Thomas Serre	grad student	2001-2006	MIT
Ethan Meyers	grad student	2004-2010	MIT
Ulf Knoblich	grad student	2003-2011	MIT
Cheston Tan	grad student	2006-2012	MIT
Joel Z. Leibo	grad student	2013	MIT
Heinrich H. Buelthoff	post-doc		MIT
Martin A. Giese	post-doc		Brain and Cognitive Science, MIT
Gabriel Kreiman	post-doc		MIT
Lorenzo Rosasco	post-doc		MIT
Alessandro Verri	post-doc		MIT
Daphna Weinshall	post-doc		MIT
Thomas Serre	post-doc	2006-	MIT
Arturo Deza	post-doc	2020-	MIT
Christof Koch	post-doc	1982-1984	MIT
Andrew Parker	post-doc	1984-1985	MIT
Hanspeter A. Mallot	post-doc	1986-1988	MIT
Shimon Edelman	post-doc	1990-1991	MIT
Davide Zoccolan	post-doc	2003-2006	MIT
Sang Wan Lee	post-doc	2010-2011	MIT
Tony Ezzat	research scientist		MIT
Minjoon Kouh	research scientist	2001-2007	MIT

Collaborators

mark Stephen Alfano	collaborator		MIT
Francis Harry Compton Crick	collaborator		MIT
Robert Desimone	collaborator		MIT
Manfred Fahle	collaborator		MIT
David J. Freedman	collaborator		MIT
Nikos K. Logothetis	collaborator		MIT
Stephen Smale	collaborator		MIT
Vincent Torre	collaborator		MIT
Shimon Ullman	collaborator		MIT
Alessandro Verri	collaborator		MIT
Chou P. Hung	collaborator	2002-	MIT
David L. Sheinberg	collaborator	2008-	MIT
Dirk B. Walther	collaborator	2000-2006	MIT

BETA: Related publications

Publications

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Tacchetti A, Isik L, Poggio TA. (2018) Invariant Recognition Shapes Neural Representations of Visual Input. Annual Review of Vision Science
Isik L, Tacchetti A, Poggio TA. (2017) A fast, invariant representation for human action in the visual system. Journal of Neurophysiology. jn.00642.2017
Tan C, Poggio T. (2016) Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing. Plos One. 11: e0150980
Isik L, Meyers EM, Leibo JZ, et al. (2014) The dynamics of invariant object recognition in the human visual system. Journal of Neurophysiology. 111: 91-102
Zhang C, Evangelopoulos G, Voinea S, et al. (2014) A deep representation for invariance and music classification Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6984-6988
Anselmi F, Leibo JZ, Rosasco L, et al. (2014) Unsupervised learning of invariant representations Theoretical Computer Science
Voinea S, Zhang C, Evangelopoulos G, et al. (2014) Word-level invariant representations from acoustic waveforms Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2385-2389
Zhang C, Voinea S, Evangelopoulos G, et al. (2014) Phone classification by a hierarchy of invariant representation layers Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2346-2350
Leibo JZ, Liao Q, Poggio T. (2014) Subtasks of unconstrained face recognition Visapp 2014 - Proceedings of the 9th International Conference On Computer Vision Theory and Applications. 2: 113-121
Poggio T, Ullman S. (2013) Vision: are models of object recognition catching up with the brain? Annals of the New York Academy of Sciences. 1305: 72-82