Mattia Rigotti
Mattia Rigotti
Researcher at IBM Research AI
Verified email at columbia.edu - Homepage
TitleCited byYear
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, 2013
6792013
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, 2015
2632015
Why neurons mix: high dimensionality for higher cognition
S Fusi, EK Miller, M Rigotti
Current opinion in neurobiology 37, 66-74, 2016
1692016
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
112*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
972013
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
742015
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
402010
Energy-efficient neuromorphic classifiers
D Martí, M Rigotti, M Seok, S Fusi
Neural computation 28 (10), 2011-2044, 2016
192016
Shared neural coding for social hierarchy and reward value in primate amygdala
J Munuera, M Rigotti, CD Salzman
Nature neuroscience 21 (3), 415, 2018
172018
An H-theorem for the general relativistic Ornstein-Uhlenbeck process
M Rigotti, F Debbasch
Journal of mathematical physics 46 (10), 103303, 2005
152005
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
142011
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
112017
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
A Choromanska, B Cowen, S Kumaravel, R Luss, M Rigotti, I Rish, ...
arXiv preprint arXiv:1806.09077, 2019
7*2019
Estimating the dimensionality of neural responses with fMRI Repetition Suppression
M Rigotti, S Fusi
NIPS Workshop on Machine Learning and Interpretation in NeuroImaging (MLINI), 2015
32015
Modeling event-driven transitions between attractors of the neural dynamics
M Rigotti, S Fusi
Society for Neuroscience Annual Meeting 569, 2006
32006
The importance of neural diversity in complex cognitive tasks
M Rigotti, D Ben Dayan Rubin, XJ Wang, S Fusi
Society for Neuroscience Annual Meeting (Washington, DC, Society for …, 2007
22007
A relativistic stochastic process
M Rigotti
Master’s thesis, ETH Zürich, Institute for Theoretical Physics, 2005
22005
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
12019
Efficient ConvNets for Analog Arrays
MJ Rasch, T Gokmen, M Rigotti, W Haensch
arXiv preprint arXiv:1807.01356, 2018
12018
Signatures and mechanisms of low-dimensional neural predictive manifolds
S Recanatesi, M Farrell, G Lajoie, S Deneve, M Rigotti, E Shea-Brown
bioRxiv, 471987, 2018
12018
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