Guillermo A. Cecchi  Guillermo A. Cecchi photo       

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Research Staff Member - Computational Neuroscience
Thomas J. Watson Research Center, Yorktown Heights, NY USA


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More information:  Computational Biology Center  |  Computational Psychiatry  |  Neuroimaging  |  Brain Modeling


Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia
E.D. Gutierrez, C. Corcoran, P. Corlett and G.A. Cecchi
Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP) 2017, pp. 2913--2920

Bandit Models of Human Behavior: Reward Processing in Mental Disorders
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
accepted in AGI 2017

Phonological markers of Oxytocin and MDMA ingestion
Carla Agurto, Raquel Norel, Rachel Ostrand, Gillinder Bedi, Harriet de Wit, Matthew J. Baggott, Matthew G. Kirkpatrick, Margaret Wardle, Guillermo Cecchi
Proc. Interspeech 2017, pp. 3142--3146

Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms
Mina Gheiratmand, Irina Rish, Guillermo A. Cecchi, Matthew R. G. Brown, Russell Greiner, Pablo I. Polosecki, Pouya Bashivan, Andrew J. Greenshaw, Rajamannar Ramasubbu & Serdar M. Dursun
npj Schizophrenia 3(22), 2017

Computing the structure of language for neuropsychiatric evaluation
G. A. Cecchi, V. Gurev, S. J. Heisig, R. Norel, I. Rish and S. R. Schrecke
IBM Journal of Research and Development 61(2/3), 2017

Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease
P. Polosecki, E. Castro, A. Wood, J. H. Warner, I. Rish and G. A. Cecchi
IBM Journal of Research and Development 61(2/3), IEEE, 2017

Holographic brain: Distributed versus local activation patterns in fMRI
I. Rish and G. A. Cecchi
IBM Journal of Research and Development 61(2/3), IEEE, 2017

Attentive Bandit: Contextual Bandit with Restricted Context
Djallel Bouneffouf, Irina Rish, Raphael Feraud and Guillermo Cecchi
IJCAI - main track, pp. 1468-1475, 2017

Learning Discriminative Functional Network Features of Schizophrenia
Gheiratmand, Mina and Rish, Irina and Cecchi, Guillermo and Brown, Matthew and Greiner, Russell and Bashivan, Pouya and Polosecki, Pablo and Dursun, Serdar
SPIE Medical Imaging, pp. 101371A--101371A, 2017

Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
S. Garg, I. Rish, G.A. Cecchi, A. Lozano
IJCAI - main track1701.06106, 2017 , 1696-1702

Predicting human olfactory perception from chemical features of odor molecules
A. Keller, R.C. Gerkin, Y. Guan, A. Dhurandhar, G. Turu, B. Szalai, J.D. Mainland, Y. Ihara, C. Wen Yu, R. Wolfinger, C. Vens, L. Schietgat, K. De Grave, R. Norel, DREAM Cons., G. Stolovitzky, G.A. Cecchi, L. Vosshal, P. Meyer
Science, 10.1126/science.aal2014, 2017


Emotional Intensity analysis in Bipolar subjects
Facundo Carrillo, Natalia Mota, Mauro Copelli, Sidarta Ribeiro, Mariano Sigman, Guillermo Cecchi, Diego Fernandez Slezak
arXiv1606.02231, 2016

Reorganization of brain connectivity in obesity
P. Geha, G.A. Cecchi, T. Constable, C. Abdallah, D. Small
Human Brain Mapping (early view), 2016

How language flows when movements don't: An automated analysis of spontaneous discourse in Parkinson's disease
Adolfo M. Garcia, Facundo Carrillo, Juan Rafael Orozco-Arroyave, Natalia Trujillo, Jesus Francisco Vargas Bonilla, Elmar Noth, Mariano Sigman, Diego Fernandez Slezak, Agustin Ibanez, Guillermo A. Cecchi
Brain and Language pp. 162, 19-28, 2016

Self-reference in psychosis and depression: a language marker of illness
S. K. Fineberg, J. Leavitt, S. Deutsch-Link, S. Dealy, C. D. Landry, K. Pirruccio, S. Shea, S. Trent, G. Cecchi, P. R. Corlett
Psychol Med 46(12), 2605--2615, 2016

Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine learning approach
Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Goldstein
SPIE Medical Imaging Conference, 2016

Towards an Integrated Approach to Measurement, Analysis and Modeling of Cortical Networks
A. Ravishankar Rao, Guillermo A. Cecchi, Ehud Kaplan
Frontiers Media SA, 2016


Automated Analysis of Free Speech Predicts Psychosis Onset in High-Risk Youths
F. Carrillo, G. Bedi, G.A. Cecchi, D.F. Slezak, M. Sigman, N. Mota, S. Ribeiro, D.C. Javitt, M. Copelli and C. Corcoran
Nature P.J. Schizophrenia, 2015

The music of morality and logic
B. Mesz, P.H. Rodriguez Zivic, G.A. Cecchi, M. Sigman and M.A. Trevisan
Front. in Psychology , 2015

Loss of consciousness is associated with stabilization of distributed cortical dynamics
G. Solovey, L. Alonso, T. Yanagawa, N. Fujii, M. Magnasco, G.A. Cecchi, and A. Proekt
Journal of Neuroscience 35(30), 10866-10877, 2015

Noise-Driven Causal Inference in Biomolecular Networks
R.J. Prill, R. Vogel, G.A. Cecchi, G. Altan-Bonnet, G. Stolovitzky
PLoS ONE 10(6), e0125777, 2015

Pain and Machine Learning
G.A. Cecchi
The Brain Adapting with Pain, A.V. Apkarian (Ed), Wolters Kluwer, 2015

Modeling the Brain as a Network
G.A. Cecchi
The Brain Adapting with Pain, A.V. Apkarian (Ed.), Wolters Kluwer, 2015

Automated speech analysis for psychosis evaluation
F. Carrillo, N. Mota, M. Copelli, S. Ribeiro, M. Sigman, G.A. Cecchi, D. Fernandez Slezak
NIPS - Machine Learning and Interpretation in Neuro Imaging (2014), Lecture Notes in Artificial Intelligence - Springer (in press), 2015

Fast Distributed Dynamics of Semantic Networks via Social Media
F. Carrillo, G.A. Cecchi, M. Sigman and D. Fernandez Slezak
Computational Intelligence and Neuroscience, 2015

Turing a la Freud: Test for an Automated Psychiatrist
G.A. Cecchi and I. Rish
Beyond the Turing Test - AAAI 2015 Workshop


Reliability Estimation and Enhancement via Spatial Smoothing in Sparse fMRI Modeling
Carroll, Melissa K., Guillermo A. Cecchi, Irina Rish, Rahul Garg, Marwan Baliki, and A. Vania Apkarian
Practical Applications of Sparse Modeling, pp. 123-150, MIT Press, 2014

The Challenges of Systems Biology
Pablo Meyer and Guillermo A. Cecchi
Practical Applications of Sparse Modeling, pp. 7-15, MIT Press, 2014

Augmented Human: Human OS for Improved Mental Function
Steve Heisig, Guillermo A. Cecchi, Ravi Rao and Irina Rish
AAAI'14 Workshop on Cognitive Computing for Augmented Human Intelligence, 2014

Practical Applications of Sparse Modeling
Irina Rish, Guillermo A. Cecchi, Aurelie Lozano and Alexandru Niculescu-Mizil
MIT Press, 2014

A Window into the Intoxicated Mind? Speech as an Index of Psychoactive Drug Effects
Bedi G, Cecchi G A, Fernandez Slezak D, Carrillo F, Sigman M, de Wit H
Neuropsychopharmacology, 2014

Dynamical criticality during induction of anesthesia in human ECoG recordings
L.M. Alonso, A. Proekt, T.H. Schwartz, K.O. Pryor, G.A. Cecchi and M.O. Magnasco
Frontiers in Neural Circuits, 2014

The geometry of expertise
Maria Juliana Leone, Diego Fernandez_Slezak, Guillermo A Cecchi and Mariano Sigman
Frontiers in Psychology, 2014

Special Topic: Integrated Approaches to Measurement, Analysis and Modeling of Cortical Networks
G.A. Cecchi, E. Kaplan, A.R. Rao (Editors)
Frontiers Neural Circuits, 2014

Spatial localization of the first and last enzymes effectively connects active metabolic pathways in bacteria
P. Meyer, G. Cecchi, G. Stolovitzky
BMC Syst Biol8, 131, 2014


Multisensory integration using sparse spatio-temporal encoding
A. Ravishankar Rao, Guillermo A. Cecchi
International Joint Conference on Neural Networks, IJCNN, IEEE, 2013

Capacity limits in oscillatory networks: implications for sensory coding
A. Ravishankar Rao, Guillermo A. Cecchi
International Joint Conference on Neural Networks, IJCNN, IEEE, 2013

Perceptual basis of evolving Western musical styles
P. Zivic, F. Shifres, G.A. Cecchi
Proc. Natl. Acad. Sci. USA, 2013

Linking human brain local activity fluctuations to structural and functional network architectures
A.T. Baria, A. Mansour, L. Huang, M.N. Baliki, G.A. Cecchi, M.M. Mesulam, A.V. Apkarian
Neuroimage73, 144-155, 2013

Schizophrenia as a network disease: disruption of emergent brain function in patients with auditory hallucinations
I. Rish, G. Cecchi, B. Thyreau, B. Thirion, M. Plaze, M. L. Paillere-Martinot, C. Martelli, J. L. Martinot, J. B. Poline
PLoS ONE 8(1), e50625, 2013


Predictive dynamics of human pain perception
G. A. Cecchi, L. Huang, J. A. Hashmi, M. Baliki, M. V. Centeno, I. Rish, A. V. Apkarian
PLoS Comput. Biol. 8(10), e1002719, 2012

A quantitative philology of introspection
C. Diuk, D. Fernandez Slezak, I. Raskovsky, M. Sigman and G.A. Cecchi
Frontiers in Integrative Neuroscience, 2012

Variable Selection for Gaussian Graphical Models
J. Honorio, D. Samaras, I. Rish, G.A. Cecchi
Artificial Intelligence and Statistics (AISTATS), pp. 538-546, MIT Press, 2012

Schizophrenia classification using functional network features
Irina Rish, Guillermo A Cecchi, Kyle Heuton
SPIE Medical Imaging, pp. 83170W--83170W, 2012

Sparse regression analysis of task-relevant information distribution in the brain
I. Rish, G.A. Cecchi, K. Heuton, N.N. Baliki, A.V. Apkarian
SPIE Medical Imaging, 2012

Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
N.B. Mota, N.A.P. Vasconcelos, N. Lemos, A.C. Pieretti, O. Kinouchi, G.A. Cecchi, M. Copelli, S. Ribeiro
PLoS One, 2012

Self-regulated dynamical criticality in human ECoG
G. Solovey, K.J. Miller, J.G. Ojemann, M.O. Magnasco and G.A. Cecchi
Frontiers in Integrative Neuroscience6, 44:1-9, 2012


Notes on a history of the mechanical mind (in Spanish)
G.A. Cecchi
Istor44, 35-56, Centro de Investigacion y Docencia Economicas, Mexico, 2011

The effects of feedback and lateral connections on perceptual processing: a study using oscillatory networks
A.R. Rao and G.A. Cecchi
Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2011

Seeing with the Eyes Shut: Neural Basis of Enhanced: Imagery following Ayahuasca Ingestion
D.B. de Araujo, S. Ribeiro, G.A. Cecchi, F.M. Carvalho, T. A. Sanchez, J.P. Pinto, B.S de Martinis, J.A. Crippa, J.E.C. Hallak, A. C. Santos
Human Brain Mapping, Wiley, 2011

The Relevance of the Time Domain to Neural Network Models
A.R. Rao and G.A. Cecchi (Eds.)
Springer - Series in Cognitive and Neural Systems, 2011

Fast computation of functional networks from fMRI activity: a multi-platform comparison
A.R. Rao, R.Bordawekar, G.A. Cecchi
SPIE Conference on Medical Imaging, pp. 79624L, SPIE Press, 2011

Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI
R. Garg, G.A. Cecchi, A.R. Rao
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium

A spatio-temporal support vector machine searchlight for fMRI analysis
A R Rao, R Garg, G A Cecchi
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium, pp. 1023--1026

Full-brain Auto-Regressive Modeling (FARM) using fMRI
R Garg, G A Cecchi, A R Rao
NeuroImage, Elsevier, 2011

Characteristics of voxel prediction power in full-brain Granger causality analysis of fMRI data (Proceedings Paper)
R Garg, G A Cecchi, A R Rao
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging


When the Optimal Is Not the Best: Parameter Estimation in Complex Biological Models
D. Fernandez Slezak, C. Suarez, G.A. Cecchi, G. Marshall, G. Stolovitzky
PLoS ONE, 2010

Sparse regression models of pain perception
Irina Rish, Guillermo A Cecchi, Marwan N Baliki, A Vania Apkarian
Brain Informatics, pp. 212--223, Springer, 2010

Response time distributions in rapid chess: A large-scale decision making experiment
M Sigman, P Etchemendy, D F Slezak, G A Cecchi
Frontiers in Decision Neuroscience, 2010

Statistics of natural scenes and cortical color processing
Guillermo A. Cecchi, A. Ravishankar Rao, Youping Xiao and Ehud Kaplan
Journal of Vision 10(11), 2010

Investigating the variation of orientation tuning in a computational model of the visual cortex
A R Rao, G A Cecchi
Neural Networks (IJCNN), The 2010 International Joint Conference on, pp. 1--8

An objective function utilizing complex sparsity for efficient segmentation in multi-layer oscillatory networks
A R Rao, G A Cecchi
International Journal of Intelligent Computing and Cybernetics3, Emerald Group Publishing Limited, 2010

The emergence of the modern concept of introspection: a quantitative linguistic analysis
I Raskovsky, D F Slezak, CG Diuk, GA Cecchi
Young Investigators Workshop on Computational Approaches to Languages of the Americas, pp. 68, 2010

A theory of loop formation and elimination by spike timing-dependent plasticity
J. Kozloski, G. A. Cecchi
Front Neural Circuits4, 7, 2010


High-throughput image reconstruction and analysis
A R Rao, G A Cecchi
2009 -, Artech House Publishers

Discriminative network models of schizophrenia
Guillermo Cecchi, Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Marie-Laure Paillere-Martinot, Catherine Martelli, Jean-Luc Martinot, Jean-Baptiste Poline
Advances in Neural Information Processing Systems (NIPS 2009) , pp. 252--260, Citeseer

A Cluster Overlap Measure for Comparison of Activations in fMRI Studies
G Cecchi, R Garg, A Rao
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2009, pp. 1018--1025, Springer

Self-Tuned Critical Anti-Hebbian Networks
M O Magnasco, O Piro, G A Cecchi
Physical Review Letters 102(25), 258102, APS, 2009

Prediction and interpretation of distributed neural activity with sparse models
Melissa K Carroll, Guillermo A Cecchi, Irina Rish, Rahul Garg, A Ravishankar Rao
NeuroImage 44(1), 112--122, Elsevier, 2009

An optimization approach to understanding structure-function relationships in the visual cortex
A R Rao, G A Cecchi
Proceedings of the 2009 international joint conference on Neural Networks, pp. 1152--1159


Ordered cyclic motifs contribute to dynamic stability in biological and engineered networks
Avi Ma'ayan, Guillermo A. Cecchi, John Wagner, A. Ravi Rao, Ravi Iyengar, and Gustavo Stolovitzky
Proc Natl Acad Sci U S A 105(49), 19235-19240, National Acad Sciences, 2008

Unsupervised segmentation with dynamical units
A R Rao, G A Cecchi, C C Peck, J R Kozloski
IEEE Transactions on Neural Networks 19(1), 168, IEEE, 2008

Inferring brain dynamics using granger causality on fMRI data
GA Cecchi, R Garg, AR Rao
5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008, pp. 604--607

Efficient segmentation in multi-layer oscillatory networks
A Ravishankar Rao, G A Cecchi, C C Peck, J R Kozloski
Neural Networks, 2008, pp. 2966--2973

Network-related challenges and insights from neuroscience
C Peck, J Kozloski, G Cecchi, S Hill, F Schuermann, H Markram, R Rao
Bio-Inspired Computing and Communication, pp. 67--78, Springer, 2008

Improved mapping of information distribution across the cortical surface with the support vector machine
Y Xiao, R Rao, G Cecchi, E Kaplan
Neural Networks 21(2-3), 341--348, Elsevier, 2008

Spatio-temporal dynamics during perceptual processing in an oscillatory neural network
A Rao, G Cecchi
Proceedings of the 18th international conference on Artificial Neural Networks, Part II, pp. 685--694, Springer, 2008

Closed-form supervised dimensionality reduction with generalized linear models
Irina Rish, Genady Grabarnik, Guillermo Cecchi, Francisco Pereira, Geoffrey J Gordon
Proceedings of the 25th international conference on Machine learning, pp. 832--839, 2008

Statistics of natural scenes and the cortical representation of color
GA Cecchi, AR Rao, Y Xiao, E Kaplan
Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, pp. 5, 2008


Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network
A Rao, G Cecchi, C Peck, J Kozloski
Advances in Neural Networks, ISNN 20074492, 552--561, Springer

Identifying directed links in large scale functional networks: application to brain fMRI
G Cecchi, A R Rao, M Centeno, M Baliki, A V Apkarian, D Chialvo
BMC Cell Biology 8(Suppl 1), S5, BioMed Central Ltd, 2007

Cortical representation of information about visual attributes: one network or many?
Y Xiao, R Rao, G Cecchi, E Kaplan
Proceedings of the international joint conference on neural networks, pp. 1785--1789, 2007

Topographic Infomax in a Neural Multigrid
J Kozloski, G Cecchi, C Peck, A Rao
Advances in Neural Networks, ISNN 20074492, 500--509, Springer

High performance computing environment for multidimensional image analysis
R A Ravishankar, C Guillermo, M Marcelo
BMC Cell Biology 8(Suppl 1), S9, BioMed Central Ltd, 2007


An optimization approach to achieve unsupervised segmentation and binding in a dynamical network
A R Rao, G A Cecchi, C C Peck, J R Kozloski
IEEE International Joint Conference on Neural Networks, 2006, pp. 4159--4166

Inference and segmentation in cortical processing
Y Liu, G A Cecchi, A R Rao, J Kozloski, C C Peck
Proceedings of SPIE, pp. 344--353, 2006

Translation invariance in a network of oscillatory units
A R Rao, G A Cecchi, C C Peck, J R Kozloski
Proceedings of SPIE, pp. 469--477, 2006


Computational models of adult neurogenesis
G A Cecchi, M O Magnasco
Physica A: Statistical Mechanics and its Applications 356(1), 43--47, Elsevier, 2005

A Biologically Motivated Classifier that Preserves Implicit Relationship Information in Layered Networks
C C P J K Guillermo, A Cecchi, A R Rao
Adaptive and natural computing algorithms: proceedings of the international conference in Coimbra, Portugal, 2005, pp. 82, Springer

Scale-free brain functional networks
V M Eguiluz, D R Chialvo, G A Cecchi, M Baliki, A V Apkarian
Physical Review Letters 94(1), 18102, APS, 2005


Simulation infrastructure for modeling large scale neural systems
C Peck, J Kozloski, A Rao, G Cecchi
Computational Science, ICCS, 713--713, Springer, 2003


Global organization of the Wordnet lexicon
M Sigman, G A Cecchi
Proceedings of the National Academy of Sciences 99(3), 1742, National Acad Sciences, 2002


On a common circle: Natural scenes and Gestalt rules
M Sigman, G A Cecchi, C D Gilbert, M O Magnasco
Proceedings of the National Academy of Sciences 98(4), 1935, National Acad Sciences, 2001

Simple motor gestures for birdsongs
T Gardner, G Cecchi, M Magnasco, R Laje, G B Mindlin
Physical review letters 87(20), 208101, APS, 2001

Unsupervised learning and adaptation in a model of adult neurogenesis
G A Cecchi, L T Petreanu, A Alvarez-Buylla, M O Magnasco
Journal of computational neuroscience 11(2), 175--182, Springer, 2001


Noise-induced memory in extended excitable systems
Dante R. Chialvo, Guillermo A. Cecchi, and Marcelo O. Magnasco
Physical Review E61, 5654-5657, 2000

Noise in neurons is message dependent
G A Cecchi, M Sigman, J M Alonso, L Mart{'i}nez, D R Chialvo, M O Magnasco
Proceedings of the National Academy of Sciences 97(10), 5557, National Acad Sciences, 2000


DNA Based Molecular Computation: Temp late-Temp late Interactions in PCR
P D Kaplan, G Cecchi, A Libchaber
DNA based computers II: DIMACS workshop, June 10-12, 1996, pp. 97, 1999

An automated system for the mapping and quantitative analysis of immunocytochemistry of an inducible nuclear protein
G A Cecchi, S Ribeiro, C V Mello, M O Magnasco
Journal of neuroscience methods 87(2), 147--158, Elsevier, 1999


Toward a song code: evidence for a syllabic representation in the canary brain
Sidarta Ribeiro, Guillermo A Cecchi, Marcelo O Magnasco, Claudio V Mello
Neuron 21(2), 359--371, Elsevier, 1998


Efficiency of DNA replication in the polymerase chain reaction
G Stolovitzky, G Cecchi
Proceedings of the National Academy of Sciences of the United States of America 93(23), 12947, National Acad Sciences, 1996


Molecular computation: Adleman’s experiment repeated
P Kaplan, G Cecchi, A Libchaber
Manuscript130, 1995


Periodically kicked hard oscillators
GA Cecchi, DL Gonzalez, MO Magnasco, GB Mindlin, O Piro, AJ Santillan
Chaos 3(1), 1993