Stefano Fusi

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Mattia RigottiResearcher at IBM Research AIAdresse e-mail validée de columbia.edu
Walter SennUniversität BernAdresse e-mail validée de unibe.ch
Earl K. MillerPicower Professor of Neuroscience, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
C Daniel SalzmanProfessor, Columbia UniversityAdresse e-mail validée de columbia.edu
Giancarlo La CameraAssociate Professor of Neurobiology and Behavior, Stony Brook UniversityAdresse e-mail validée de stonybrook.edu
Xiao-Jing WangGlobal Professor of Neural Science, New York UniversityAdresse e-mail validée de nyu.edu
Fabio StefaniniResearch Scientist at MetaAdresse e-mail validée de fb.com
paolo del giudiceItalian Institute of HealthAdresse e-mail validée de iss.it
Giacomo IndiveriInstitute of Neuroinformatics, University of Zurich and ETH ZurichAdresse e-mail validée de ini.uzh.ch
Davide BadoniI.N.F.N. Roma Tor VergataAdresse e-mail validée de roma2.infn.it
Melissa R. WardenAssociate Professor of Translational Neuroscience, University of ArizonaAdresse e-mail validée de arizona.edu
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorAdresse e-mail validée de columbia.edu
Michele GiuglianoPI at University of Modena and Reggio Emilia - UNIMOREAdresse e-mail validée de unimore.it
Maurizio MattiaIstituto Superiore di Sanità - Rome (Italy)Adresse e-mail validée de iss.it
Omri BarakTechnion - Israel Institute of TechnologyAdresse e-mail validée de tx.technion.ac.il
Lorenzo PosaniColumbia UniversityAdresse e-mail validée de columbia.edu
Joshua A. GordonDirector, National Institute of Mental HealthAdresse e-mail validée de nih.gov
Rene HenColumbia UniversityAdresse e-mail validée de cumc.columbia.edu
Srinjoy MitraUniversity of Edinburgh, EdinburghAdresse e-mail validée de ed.ac.uk
Ehud ZoharyProfessor of Neurobiology, Hebrew UniversityAdresse e-mail validée de mail.huji.ac.il

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Stefano Fusi

Columbia University

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

Theoretical Neuroscience Neuroscience


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	1748	2013
Emotion, cognition, and mental state representation in amygdala and prefrontal cortex CD Salzman, S Fusi Annual review of neuroscience 33 (1), 173-202, 2010	794	2010
Why neurons mix: high dimensionality for higher cognition S Fusi, EK Miller, M Rigotti Current opinion in neurobiology 37, 66-74, 2016	735	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	732	2015
Cascade models of synaptically stored memories S Fusi, PJ Drew, LF Abbott Neuron 45 (4), 599-611, 2005	661	2005
Learning real-world stimuli in a neural network with spike-driven synaptic dynamics JM Brader, W Senn, S Fusi Neural computation 19 (11), 2881-2912, 2007	447	2007
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	373	2020
Learning in neural networks with material synapses DJ Amit, S Fusi Neural Computation 6 (5), 957-982, 1994	344	1994
Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo–like input currents A Rauch, G La Camera, HR Luscher, W Senn, S Fusi Journal of neurophysiology 90 (3), 1598-1612, 2003	331	2003
Spike-driven synaptic plasticity: theory, simulation, VLSI implementation S Fusi, M Annunziato, D Badoni, A Salamon, DJ Amit Neural computation 12 (10), 2227-2258, 2000	280	2000
Real-time classification of complex patterns using spike-based learning in neuromorphic VLSI S Mitra, S Fusi, G Indiveri IEEE transactions on biomedical circuits and systems 3 (1), 32-42, 2008	274	2008
Limits on the memory storage capacity of bounded synapses S Fusi, LF Abbott Nature neuroscience 10 (4), 485-493, 2007	264	2007
Computational principles of synaptic memory consolidation MK Benna, S Fusi Nature neuroscience 19 (12), 1697-1706, 2016	258	2016
A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory E Chicca, D Badoni, V Dante, M D'Andreagiovanni, G Salina, L Carota, ... IEEE Transactions on neural networks 14 (5), 1297-1307, 2003	247	2003
Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022	233	2022
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	233	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, 2010	222	2010
Collective behavior of networks with linear (VLSI) integrate-and-fire neurons S Fusi, M Mattia Neural Computation 11 (3), 633-652, 1999	219	1999
A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales S Fusi, WF Asaad, EK Miller, XJ Wang Neuron 54 (2), 319-333, 2007	207	2007
Climbing neuronal activity as an event-based cortical representation of time J Reutimann, V Yakovlev, S Fusi, W Senn Journal of Neuroscience 24 (13), 3295-3303, 2004	192	2004

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