Mattia Rigotti

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Coauteurs

Stefano FusiColumbia UniversityAdresse e-mail validée de columbia.edu
Earl K. MillerPicower Professor of Neuroscience, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Omri BarakTechnion - Israel Institute of TechnologyAdresse e-mail validée de tx.technion.ac.il
Melissa R. WardenAssistant Professor of Neurobiology and Behavior, Cornell UniversityAdresse e-mail validée de cornell.edu
Xiao-Jing WangGlobal Professor of Neural Science, New York UniversityAdresse e-mail validée de nyu.edu
Jérôme MunueraResearcher at Brain and Spine Institute (ICM), Paris, FranceAdresse e-mail validée de icm-institute.org
Nathaniel D. DawHuo Professor of Computational and Theoretical Neuroscience, Princeton UniversityAdresse e-mail validée de princeton.edu
Daniel Ben Dayan RubinIntel LabsAdresse e-mail validée de intel.com
Silvia BernardiAssistant Professor of Psychiatry, Columbia UniversityAdresse e-mail validée de columbia.edu
Youssef MrouehResearch Staff member , IBM T.J Watson Research CenterAdresse e-mail validée de us.ibm.com
Joseph A. Gogos MD, PhDColumbia University, Zuckerman InstituteAdresse e-mail validée de columbia.edu
Joshua A. GordonDirector, National Institute of Mental HealthAdresse e-mail validée de nih.gov
Timothy SpellmanAssistant Professor of Neuroscience, University of Connecticut School of MedicineAdresse e-mail validée de med.cornell.edu
Susanne AhmariUniversity of PittsburghAdresse e-mail validée de upmc.edu
Inkit PadhiIBM ResearchAdresse e-mail validée de ibm.com
Eric Shea-BrownApplied Mathematics, University of WashingtonAdresse e-mail validée de uw.edu
Srdjan OstojicEcole Normale Superieure ParisAdresse e-mail validée de ens.fr
Irina RishUniversity of Montreal / Mila -Quebec AI InstituteAdresse e-mail validée de mila.quebec
Brian KingsburyDistinguished Research Staff Member and Manager, IBM T. J. Watson Research Center, Yorktown HeightsAdresse e-mail validée de us.ibm.com
Sara MorrisonUniversity of PittsburghAdresse e-mail validée de pitt.edu

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Mattia Rigotti

Researcher at IBM Research AI

Adresse e-mail validée de columbia.edu - Page d'accueil

neuroscience cognitive science reinforcement learning machine learning neural networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
The importance of mixed selectivity in complex cognitive tasks M Rigotti, O Barak, MR Warden, XJ Wang, ND Daw, EK Miller, S Fusi Nature 497 (7451), 585-590, 2013	1151	2013
Hippocampal–prefrontal input supports spatial encoding in working memory T Spellman, M Rigotti, SE Ahmari, S Fusi, JA Gogos, JA Gordon Nature 522 (7556), 309-314, 2015	514	2015
Why neurons mix: high dimensionality for higher cognition S Fusi, EK Miller, M Rigotti Current opinion in neurobiology 37, 66-74, 2016	409	2016
Internal representation of task rules by recurrent dynamics: The importance of the diversity of neural responses M Rigotti, DBD Rubin, XJ Wang, S Fusi Frontiers in Computational Neuroscience 4, 24-29, 2010	171*	2010
The sparseness of mixed selectivity neurons controls the generalization–discrimination trade-off O Barak, M Rigotti, S Fusi Journal of Neuroscience 33 (9), 3844-3856, 2013	163	2013
Abstract context representations in primate amygdala and prefrontal cortex A Saez, M Rigotti, S Ostojic, S Fusi, CD Salzman Neuron 87 (4), 869-881, 2015	133	2015
The geometry of abstraction in the hippocampus and prefrontal cortex S Bernardi, MK Benna, M Rigotti, J Munuera, S Fusi, CD Salzman Cell 183 (4), 954-967. e21, 2020	111	2020
Shared neural coding for social hierarchy and reward value in primate amygdala J Munuera, M Rigotti, CD Salzman Nature neuroscience 21 (3), 415-423, 2018	69	2018
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables A Choromanska, B Cowen, S Kumaravel, R Luss, M Rigotti, I Rish, ... International Conference on Machine Learning 97, 1193-1202, 2019	56*	2019
Attractor concretion as a mechanism for the formation of context representations M Rigotti, D Ben Dayan Rubin, SE Morrison, CD Salzman, S Fusi Neuroimage 52 (3), 833-847, 2010	51	2010
Energy-efficient neuromorphic classifiers D Marti, M Rigotti, M Seok, S Fusi Neural computation 28 (10), 2011-2044, 2016	36	2016
Hebbian learning in a random network captures selectivity properties of the prefrontal cortex GW Lindsay, M Rigotti, MR Warden, EK Miller, S Fusi Journal of Neuroscience 37 (45), 11021-11036, 2017	33	2017
Tabular transformers for modeling multivariate time series I Padhi, Y Schiff, I Melnyk, M Rigotti, Y Mroueh, P Dognin, J Ross, R Nair, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	16	2021
An H-theorem for the general relativistic Ornstein-Uhlenbeck process M Rigotti, F Debbasch Journal of mathematical physics 46 (10), 103303, 2005	16	2005
A simple derivation of a bound on the perceptron margin using singular value decomposition O Barak, M Rigotti Neural computation 23 (8), 1935-1943, 2011	15	2011
Predictive learning as a network mechanism for extracting low-dimensional latent space representations S Recanatesi, M Farrell, G Lajoie, S Deneve, M Rigotti, E Shea-Brown Nature communications 12 (1), 1-13, 2021	12	2021
Image captioning as an assistive technology: Lessons learned from vizwiz 2020 challenge P Dognin, I Melnyk, Y Mroueh, I Padhi, M Rigotti, J Ross, Y Schiff, ... arXiv preprint arXiv:2012.11696, 2020	8	2020
Predictive learning extracts latent space representations from sensory observations S Recanatesi, M Farrell, G Lajoie, S Deneve, M Rigotti, E Shea-Brown bioRxiv, 471987, 2019	8	2019
Self-correcting Q-Learning R Zhu, M Rigotti Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11185 …, 2020	6	2020
RAPA-ConvNets: Modified convolutional networks for accelerated training on architectures with analog arrays MJ Rasch, T Gokmen, M Rigotti, W Haensch Frontiers in Neuroscience 13, 753, 2019	5	2019

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