Mattia Rigotti  Mattia Rigotti photo       

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash1726

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2017

Characterizing human prefrontal cortex representations with fMRI
A. Bhandari, M. Rigotti, C. Gagne, S. Fusi, D. Badre
Society for Neuroscience Meeting (Washington DC), 2017
Abstract

The hippocampus as a predictive recurrent neural network
S. Recanatesi, G. Wayne, M. Rigotti
Cosyne: Computational and Systems Neuroscience Conference , 2017
Abstract

Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus
S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C.D. Salzman
Biological Psychiatry 81(10), S272, Elsevier, 2017
Abstract

Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex
G. W. Lindsay, M. Rigotti, M. R. Warden, E. K. Miller, S. Fusi
Journal of Neuroscience 37(45), 11021-11036, 2017
Abstract


2016

Cortico-hippocampal contribution to the generation of contextual information
S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman
Society for Neuroscience Meeting (San Diego CA), Society for Neuroscience, 2016
Abstract

Neurophysiological mechanisms for representing abstract components of mental states
J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman
Society for Neuroscience Meeting (San Diego CA), Society for Neuroscience, 2016
Abstract

Energy-efficient neuromorphic classifiers
D. Marti, M. Rigotti, M. Seok, S. Fusi
Neural Computation, 2016
Abstract

Why neurons mix: high dimensionality for higher cognition
S. Fusi, E.K. Miller, M. Rigotti
Current Opinion in Neurobiology37, 66-74, 2016
Abstract


2015

Estimating the dimensionality of neural responses with fMRI Repetition Suppression
M. Rigotti, S. Fusi
Proceedings of the 5th NIPS Workshop on Machine Learning and Interpretation in NeuroImaging (MLINI) , 2015
Abstract

Abstract Context Representations in Primate Amygdala and Prefrontal Cortex
A. Saez, M. Rigotti, S. Ostojic, S. Fusi, C.D. Salzman
Neuron 87(4), 869--881, Elsevier, 2015
Abstract

Hippocampal-prefrontal input supports spatial encoding in working memory
T. Spellman, M. Rigotti, S. E. Ahmari, S. Fusi, J. A. Gogos, J. A. Gordon
Nature 522(7556), 309--314, 2015
Abstract


2014

Direct hippocampal-prefrontal input supports the encoding of spatial information during a working memory task
T. Spellman, M. Rigotti, S. Fusi, J. Gogos, J. Gordon
Society for Neuroscience Annual Meeting, 2014
Abstract

Neurophysiological mechanisms supporting flexible, context-specific, operant and pavlovian behavior
J. Munuera, M. Rigotti, S. Fusi, C.D. Salzman
Society for Neuroscience Annual Meeting, 2014
Abstract

Hebbian-inspired rewiring of a random network replicates pattern of selectivity seen in PFC
G. Lindsay, M. Rigotti, M. R. Warden, E. K. Miller, S. Fusi
CNS*2014 meeting


2013

A VLSI chip with spike-based synaptic plasticity for online learning in real-time
F. Stefanini, M. Rigotti, S. Fusi, G. Indiveri
International Workshop on Neuromorphic and Brain-Based Computing Systems, NeuComp, 2013

Neural mechanisms of context representation and reinforcement expectation in the amygdala and prefrontal cortex
A. Saez, M. Rigotti, S. Ostojic, S. Fusi, C.D. Salzman
Society for Neuroscience Meeting (San Diego, CA), Society for Neuroscience, 2013

The importance of mixed selectivity in complex cognitive tasks.
M. Rigotti, O. Barak, M. R. Warden, X.-J. Wang, N. D. Daw, E. K. Miller, S. Fusi
Nature 497(7451), 585--590, 2013
Abstract

Scalability properties of multimodular networks with dynamic gating
D. Marti, O. Barak, M. Rigotti, S. Fusi
BMC Neuroscience, pp. P136, 2013



2012

An adaptive spiking neural network for decision making in partially observable environments
M. Rigotti, D. Ben Dayan Rubin, N.D. Daw, S. Fusi
Cosyne Abstracts, Salt Lake City USA, 2012
Abstract

Neural representations that are good for both generalization and discrimination
O. Barak, M. Rigotti, S. Fusi
Cosyne Abstracts, Salt Lake City USA, 2012
Abstract


2011

Context, correlation and decorrelation with randomly connected neurons
O. Barak, M. Rigotti, S. Fusi
Cosyne Abstracts, Salt Lake City USA, 2011

A simple derivation of a bound on the perceptron margin using singular value decomposition.
O. Barak, M. Rigotti
Neural Comput 23(8), 1935--1943, 2011
Abstract


2010

Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses
M. Rigotti, D. Ben Dayan Rubin, X.-J. Wang, S. Fusi
Frontiers in Computational Neuroscience4, 24, 2010

Reinforcement learning with a value system in an attractor neural network
M. Rigotti, S. Fusi
Society for Neuroscience Meeting (San Diego, CA), Society for Neuroscience, 2010

Attractor concretion as a mechanism for the formation of context representations.
M. Rigotti, D. Ben Dayan Rubin, S. E Morrison, C. D. Salzman, S. Fusi
Neuroimage52, 833-847, 2010
Abstract

Dynamic gating in multi-modular neural networks using random connections
O. Barak, M. Rigotti, S. Fusi
Society for Neuroscience Meeting (San Diego, CA), Society for Neuroscience, 2010
Abstract


2009

Models of neural networks of spiking neurons performing complex cognitive tasks
D. Ben Dayan Rubin, M Rigotti, S. Fusi
Society for Neuroscience Meeting (Chicago, Il), Society for Neuroscience, 2009
Abstract

A theory for the formation of the neural representation of context in reinforcement learning
M. Rigotti, D. Ben Dayan Rubin, X.-J. Wang, S. Fusi
Society for Neuroscience Meeting (Chicago, Il), Society for Neuroscience, 2009
Abstract

Power-law autocorrelation of neural activity in models of mental states that are hierarchically organized
F. Chersi, M. Rigotti, S. Fusi
BMC Neuroscience, pp. P292, 2009
Abstract


2008

Mixed neuronal selectivity is important in recurrent neural networks implementing context dependent tasks
M. Rigotti, D. Ben Dayan Rubin, X.-J. Wang, S. Fusi
Society for Neuroscience Meeting (Washington, DC), Society for Neuroscience, 2008
Abstract

Neural network models of hierarchically organized mental states show highly variable activity with long range temporal correlations.
F. Chersi, M. Rigotti, D. Ben Dayan Rubin, S. Fusi
FENS Abstract, Federation of European Neuroscience Societies, 2008


2007

The importance of neural diversity in complex cognitive tasks
M. Rigotti, D. Ben Dayan Rubin, X.-J. Wang, S. Fusi
Society for Neuroscience Meeting (San Diego, CA), Society for Neuroscience, 2007
Abstract

Event driven transitions between attractors in spiking networks
M. Mattia, M. Rigotti, S. Fusi
Cosyne Abstracts, Salt Lake City USA, 2007
Abstract

Modeling gain neuromodulation of recurrent cortical networks for cognitive switch
S. Fusi, M. Mattia, M. Rigotti
Society for Neuroscience Meeting (San Diego, CA), Society for Neuroscience, 2007
Abstract


2006

Modeling event-driven transitions between attractors of the neural dynamics
M. Rigotti, S. Fusi
Society for Neuroscience Meeting (Atlanta, GA), Society for Neuroscience, 2006
Abstract


2005

An H-theorem for the general relativistic Ornstein-Uhlenbeck process
M. Rigotti, F. Debbasch
Journal of Mathematical Physics46, 103303, 2005


2004

Considerations on QCD, the parton model and the Altarelli-Parisi equation
M. Rigotti
Technical Report, Institut fuer theoretische Physik, ETH Zuerich, 2004

Quantum Mechanics, Hidden Variables and Quantum Logic
G. Ortelli, M. Rigotti
Technical Report, Institut fuer theoretische Physik, ETH Zuerich, 2004


2003

Optimization of Boolean functions and applications
M. Rigotti
Technical Report, Institut fuer theoretische Physik, ETH Zuerich, 2003