Welcome to Mattia Rigotti's homepage

I am a researcher in the Theory and Computational Physics Group at the IBM T.J. Watson Research Center. My research interests include Neuromorphic Engineering, Computational Neuroscience, Neural Networks and Machine Learning.

mr2666@columbia.edu

    Affiliations

  • 2014 - now    Research Staff Member
    Physical Sciences Department, IBM T. J. Watson Research Center, Yorktown Heights, NY
  • 2013-2014    Associate Research Fellow
    Center for Theoretical Neuroscience and The Italian Academy for Advanced Studies, Columbia University, New York
  • 2010-2013    Postdoctoral Fellow
    Center for Neural Science, New York University, New York

  • Education

  • 2007-2010    Ph.D. (Neuroscience, Feb. 2010);  M.Phil. (Neurobiology and Behavior, Oct. 2009)
    Columbia University, College of Physicians and Surgeons, New York, NY
    Thesis: "Modeling the neural mechanisms underlying rule-based behavior" [PDF]
  • 2004    DEA (Theoretical Physics, June 2004)
    Université Pierre et Marie Curie, Paris VI / École Normale Supérieure, Paris, France
  • 2000-2005    M.Sc., Dipl. Phys. ETH Zürich (Theoretical Physics, Dec. 2005)
    Swiss Federal Institute of Technology (ETH), Zurich, Switzerland
    Thesis: "A Relativistic Stochastic Process: statistical mechanics in a general relativistic framework" [PDF]

Publications

    Articles

  • 2017
  • Hebbian Learning in a Random Network Captures Selectivity Properties of Prefrontal Cortex [PDF]
    G.W. Lindsay, M. Rigotti, M.R. Warden, E.K. Miller, S. Fusi
    bioRxiv, 133025 (2017)
  • Neurophysiological mechanisms supporting flexible, context specific, emotional regulation [PDF]
    S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, and C.D. Salzman
    Biological Psychiatry, volume 81, pages S272, 2017
  • The hippocampus as a predictive recurrent neural network [PDF]
    S. Recanatesi, G. Wayne, M. Rigotti
    Cosyne: Computational and Systems Neuroscience Conference, 2017
  • 2016
  • Energy-Efficient Neuromorphic Classifiers [PDF]
    D. Martí, M. Rigotti, M. Seok, S. Fusi
    Neural Computation, 28: 2011-2044 (2016)
  • Why neurons mix: high dimensionality for higher cognition [PDF]
    S. Fusi, E.K. Miller, M. Rigotti
    Current Opinion in Neurobiology, 37: 66-74 (2016)
  • 2015
  • Hippocampal-prefrontal input supports spatial encoding in working memory [PDF]
    T. Spellman, M. Rigotti, S.E. Ahmari, S. Fusi, J.A. Gogos, J.A. Gordon
    Nature, 522:309-314 (2015)
  • Abstract context representations in primate amygdala and prefrontal cortex [PDF]
    A. Saez, M. Rigotti, S. Ostojic, S. Fusi, C.D. Salzman
    Neuron, 87:869-881 (2015)
  • Estimating the dimensionality of neural responses with fMRI Repetition Suppression [PDF]
    M. Rigotti, S. Fusi
    Proceedings of the 5th NIPS Workshop on Machine Learning and Interpretation in NeuroImaging (MLINI), 2015
  • Neurophysiological mechanisms supporting flexible, context specific, emotional regulation [PDF]
    S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, and C.D. Salzman
    Biological Psychiatry, volume 77, pages 136S-136S, 2015
  • 2014
  • Hebbian-inspired rewiring of a random network replicates pattern of selectivity seen in PFC [PDF]
    G. Lindsay, M. Rigotti, M. R. Warden, E. K. Miller, S. Fusi
    BMC Neuroscience 2014, 15 (Suppl 1):P160
  • 2013
  • The importance of mixed selectivity in complex cognitive tasks [PDF]
    M. Rigotti, O. Barak, M.R. Warden, X.-J. Wang, N.D. Daw, E.K. Miller, S. Fusi
    Nature, 497:585-590 (2013)
  • The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off [PDF]
    O. Barak, M. Rigotti, S. Fusi
    Journal of Neuroscience, 33:3844-56 (2013)
  • Scalability properties of multimodular networks with dynamic gating [PDF]
    D. Marti, O. Barak, M. Rigotti, S. Fusi
    BMC Neuroscience 2013, 14(Suppl 1):P136
  • A VLSI chip with spike-based synaptic plasticity for online learning in real-time [PDF]
    F. Stefanini, M. Rigotti, S. Fusi and G. Indiveri
    International Workshop on Neuromorphic and Brain-Based Computing Systems, NeuComp (Grenoble, France), 2013
  • Scalability properties of multimodular networks with dynamic gating [PDF]
    D. Marti, O. Barak, M. Rigotti and S. Fusi
    Cosyne: Computational and Systems Neuroscience Conference, 2013
  • 2012
  • An adaptive spiking neural network for decision making in partially observable environments [PDF]
    M. Rigotti, D. Ben Dayan Rubin, N.D. Daw and S. Fusi
    Cosyne: Computational and Systems Neuroscience Conference, 2012
  • Neural representations that are good for both generalization and discrimination [PDF]
    O. Barak, M. Rigotti and S. Fusi
    Cosyne: Computational and Systems Neuroscience Conference, 2012
  • 2011
  • A simple derivation of a bound on the Perceptron margin using Singular Value Decomposition [PDF]
    O. Barak, M. Rigotti
    Neural Computation, 23:1935-43 (2011)
  • Context, correlation and decorrelation with randomly connected neurons [PDF]
    O. Barak, M. Rigotti and S. Fusi
    Cosyne: Computational and Systems Neuroscience Conference, 2011
  • 2010
  • Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses [PDF]
    M. Rigotti, D. Ben Dayan Rubin, X.-J. Wang and S. Fusi
    Frontiers in Computational Neuroscience, 4:24 (2010)
  • Attractor concretion as a mechanism for the formation of context representations [PDF]
    M. Rigotti, D. Ben Dayan Rubin, S.E. Morrison, C.D. Salzman and S. Fusi
    NeuroImage, 52:833-47 (2010)
  • 2009
  • Power-law autocorrelation of neural activity in models of mental states that are hierarchically organized [PDF]
    F. Chersi, M. Rigotti and S. Fusi
    BMC Neurosciencee 2009, 10(Suppl 1):P292
  • 2007
  • Event-driven transitions between attractors in spiking networks [PDF]
    M. Mattia, M. Rigotti and S. Fusi
    Cosyne: Computational and Systems Neuroscience Conference, 2007
  • 2005
  • An H-theorem for the general relativistic Ornstein-Uhlenbeck process [PDF]
    M. Rigotti and F. Debbasch
    Journal of Mathematical Physics, 46:103303 (2005)

  • Conference abstracts

  • 2016
  • Neurophysiological mechanisms for representing abstract components of mental states [PDF]
    J. Munuera, M. Rigotti, S. Fusi, and C.D. Salzman
    Society for Neuroscience Meeting (San Diego CA), 2016
  • Cortico-hippocampal contribution to the generation of contextual information [PDF]
    S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, and C.D. Salzman
    Society for Neuroscience Meeting (San Diego CA), 2016
  • 2014
  • Direct hippocampal-prefrontal input supports the encoding of spatial information during a working memory task [PDF]
    T. Spellman, M. Rigotti, S. Fusi, J. Gogos, J. Gordon
    Society for Neuroscience Annual Meeting (Washington DC), 2014
  • Neurophysiological mechanisms supporting flexible, context-specific, operant and Pavlovian behavior [PDF]
    J. Munuera, M. Rigotti, S. Fusi, C.D. Salzman
    Society for Neuroscience Annual Meeting (Washington DC), 2014
  • 2013
  • Neural mechanisms of context representation and reinforcement expectation in the amygdala and prefrontal cortex [PDF]
    A. Saez, M. Rigotti, S. Ostojic, S. Fusi and C.D. Salzman
    Society for Neuroscience Annual Meeting (San Diego, CA), 2013
  • 2010
  • Reinforcement learning with a value system in an attractor neural network [PDF]
    M. Rigotti and S. Fusi
    Society for Neuroscience Annual Meeting (San Diego, CA), 2010
  • Dynamic gating in multi-modular neural networks using random connections [PDF]
    O. Barak, M. Rigotti and S. Fusi
    Society for Neuroscience Annual Meeting (San Diego, CA), 2010
  • 2009
  • A theory for the formation of the neural representation of context in reinforcement learning [PDF]
    M. Rigotti, D. Ben Dayan Rubin, X.-J. Wang and S. Fusi
    Society for Neuroscience Annual Meeting (Chicago, Il), 2009
  • Models of neural networks of spiking neurons performing complex cognitive tasks [PDF]
    D. Ben Dayan Rubin, M. Rigotti and S. Fusi
    Society for Neuroscience Annual Meeting (Chicago, Il), 2009
  • 2008
  • Neural Network models of hierarchically organized mental states show highly variable activity with long range temporal correlations [PDF]
    F. Chersi, M. Rigotti, D. Ben Dayan Rubin and S. Fusi
    FENS - Forum of European Neuroscience (Geneva, CH), vol. 4, 126.5, 2008
  • 2007
  • Modeling gain neuromodulation of recurrent cortical networks for cognitive switch [PDF]
    S. Fusi, M. Rigotti and M. Mattia
    Society for Neuroscience Annual Meeting (San Diego, CA), pp.929.2/TT10 , 2007
  • The importance of neural diversity in complex cognitive tasks [PDF]
    M. Rigotti, D. Ben Dayan Rubin, X.-J. Wang and S. Fusi
    Society for Neuroscience Annual Meeting (San Diego, CA), pp.929.3/TT11, 2007
  • 2006
  • Modeling event-driven transitions between attractors of the neural dynamics
    M. Rigotti and S. Fusi
    Society for Neuroscience Annual Meeting (Atlanta, GA), pp.569.14/LL5, 2006

  • Conference presentations

  • Nov 02, 2016     '16 KAIST International Neural Computation Workshop
    KAIST, Daejeon, South Korea
  • May 05, 2016     Symposium on the Role of Task Representation in Response Selection
    International Meeting of the Psychonomic Society (PS-2016), Granada, Spain
  • Dec 12, 2015     Workshop on Machine Learning and Interpretation in NeuroImaging
    Conference on Neural Information Processing Systems (NIPS-2015), Montreal, Canada
  • Sep 18, 2015     PhD Symposium
    Bernstein Conference, Heidelberg, Germany
  • May 15, 2015     Workshop session on neuronal selectivity in the PFC
    4th Meeting on the Computational Properties of the Prefrontal Cortex, Washington, DC, USA
  • May 05, 2014     Wokshop on attractor dynamics and learning
    Capo Caccia Cognitive Neuromorphic Engineering Workshop, Capo Caccia, Italy
  • Apr 07, 2014     Mini-Symposium on Prefrontal Cortex neural representations
    Cognitive Neuroscience Annual Meeting (CNS-2014), Boston, MA, USA
  • May 10, 2011     Wokshop on attractor neural dynamics
    Capo Caccia Cognitive Neuromorphic Engineering Workshop, Capo Caccia, Italy
  • Jun 15, 2010     Gatsby-Columbia-ICNC Workshop
    Hebrew University, Jerusalem, Israel
  • Sep 17, 2008     Workshop on Working Memory
    5th European Conference on Complex Systems (ECCS-08), Jerusalem, Israel

Other projects

    Physics

  • Quantum Mechanics, Hidden Variables and Quantum Logic - with G. Ortelli [PDF]
    - Proseminar with Prof E. Specker, ETH Zürich 2004
  • Der Schroteffekt (in German) - Experimental praktikum, ETH Zürich 2004 [PDF]
  • Der Photoelektrische Effekt (in German) - Experimental praktikum, ETH Zürich 2004 [PDF]
  • QCD, Parton model and Altarelli-Parisi equation - Proseminar with Prof Z. Kunszt, ETH Zürich 2003 [PDF]

  • Mathematics

  • Differentialgeometrie (in German) - Based on lecture notes by Prof D.A. Salamon [PDF]

  • Electronics

  • Logic Optimizer v0.2 - A Java applet implementing Karnaugh-Veitch-Diagrams and the Quine-McCluskey algorithm to optimize the representation of Boolean functions (2004) [JAR]
  • Digitale Elektronik (in German) - Optimization of Boolean functions and applications (2004) [PDF]
  • AD-Wandlung (in German) - Principles of AD-conversion (2003) [PDF]

  • Programming

  • Gitmagic (Italian translation) - The ultimate Git tutorial by Ben Lynn (2007)