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
Youssef MrouehPrincipal Research Scientist, IBM T.J Watson Research CenterAdresse e-mail validée de us.ibm.com
Omri BarakTechnion - Israel Institute of TechnologyAdresse e-mail validée de tx.technion.ac.il
Melissa R. WardenAssociate Professor of Translational Neuroscience, University of ArizonaAdresse e-mail validée de arizona.edu
Inkit PadhiIBM ResearchAdresse e-mail validée de ibm.com
Xiao-Jing WangGlobal Professor of Neural Science, New York UniversityAdresse e-mail validée de nyu.edu
Jérôme MunueraInserm, Paris Brain Institute (ICM), FranceAdresse e-mail validée de icm-institute.org
Silvia BernardiAssistant Professor of Psychiatry, Columbia UniversityAdresse e-mail validée de columbia.edu
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
Joseph A. Gogos MD, PhDColumbia University, Zuckerman Institute and SNF Center for Precision Psychiatry and Mental HealthAdresse 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
Eric Shea-BrownApplied Mathematics, University of WashingtonAdresse e-mail validée de uw.edu
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
Srdjan OstojicEcole Normale Superieure ParisAdresse e-mail validée de ens.fr
Malte J RaschSony AI (previously: IBM Research AI)Adresse e-mail validée de sony.com

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Mattia Rigotti

Researcher at IBM Research AI

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

neuroscience neural networks deep learning machine learning computer vision


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	1749	2013
Why neurons mix: high dimensionality for higher cognition S Fusi, EK Miller, M Rigotti Current opinion in neurobiology 37, 66-74, 2016	736	2016
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	733	2015
The geometry of abstraction in hippocampus and prefrontal cortex S Bernardi, MK Benna, M Rigotti, J Munuera, S Fusi, D Salzman	374	2018
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	234	2013
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	219	2010
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	184	2015
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	114	2018
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	108	2021
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	87*	2019
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), 1417, 2021	83*	2021
Attention-based interpretability with concept transformers M Rigotti, C Miksovic, I Giurgiu, T Gschwind, P Scotton International conference on learning representations, ICLR, 2021	71	2021
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	62	2010
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, ... Journal of Artificial Intelligence Research 73, 437-459, 2022	58	2022
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	53	2017
Compositional generalization through abstract representations in human and artificial neural networks T Ito, T Klinger, D Schultz, J Murray, M Cole, M Rigotti Advances in neural information processing systems 35, 32225-32239, 2022	47	2022
Energy-efficient neuromorphic classifiers D Marti, M Rigotti, M Seok, S Fusi Neural computation 28 (10), 2011-2044, 2016	45	2016
The implications of categorical and category-free mixed selectivity on representational geometries MT Kaufman, MK Benna, M Rigotti, F Stefanini, S Fusi, AK Churchland Current opinion in neurobiology 77, 102644, 2022	40	2022
Ben Dayan Rubin D, Wang XJ, Fusi S M Rigotti Internal representation of task rules by recurrent dynamics: the importance …, 2010	40	2010
Mixed selectivity: Cellular computations for complexity KM Tye, EK Miller, FH Taschbach, MK Benna, M Rigotti, S Fusi Neuron, 2024	35	2024

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