Mattia Rigotti
Mattia Rigotti
Researcher at IBM Research AI
Verified email at - Homepage
Cited by
Cited by
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
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
Why neurons mix: high dimensionality for higher cognition
S Fusi, EK Miller, M Rigotti
Current opinion in neurobiology 37, 66-74, 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
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
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
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
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
Energy-efficient neuromorphic classifiers
D MartÝ, M Rigotti, M Seok, S Fusi
Neural computation 28 (10), 2011-2044, 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
An H-theorem for the general relativistic Ornstein-Uhlenbeck process
M Rigotti, F Debbasch
Journal of mathematical physics 46 (10), 103303, 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
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
The geometry of abstraction in hippocampus and pre-frontal cortex
S Bernardi, MK Benna, M Rigotti, J Munuera, S Fusi, CD Salzman
bioRxiv, 408633, 2018
Estimating the dimensionality of neural responses with fMRI Repetition Suppression
M Rigotti, S Fusi
Advances in Neural Information Processing Systems, MLINI Workshop, 2015
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 forá…, 2007
Modeling event-driven transitions between attractors of the neural dynamics
M Rigotti, S Fusi
Society for Neuroscience Annual Meeting 569, 2006
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
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
Efficient ConvNets for analog arrays
MJ Rasch, T Gokmen, M Rigotti, W Haensch
arXiv preprint arXiv:1807.01356, 2018
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