Publications

  • “Predictive Network Models of Schizophrenia””, G.A. Cecchi, I. Rish, J-L. Martinot, M. Plaze, J-B. Poline, B. Thyreau and B. Thirion, NIPS 2009 (in press).

  • “An objective function that achieves efficient segmentation in multi-layer oscillatory networks”, A.R. Rao & G.A. Cecchi, Int. J. Intelligent Computing and Cybernetics (in press, 2009).

  • “An optimization approach to understanding structure-function relationships in the visual cortex”, A.R. Rao & G.A. Cecchi, Proceedings of the International Joint Conference on Neural Networks, Atlanta (2009).

  • “Self-organizing map simulations confirm similarity of spatial correlation structure in natural images and cortical representations”, A. R. Rao & G.A. Cecchi, ICANN 2009 (in press).

  • “A Cluster Overlap Measure for Comparison of Activations in fMRI Studies”, R. Garg, A.R. Rao & G.A. Cecchi, MICCAI 2009 (in press).
  • “Self-tuned critical networks”, M.O. Magnasco, O. Piro and G.A. Cecchi, Physical Review Letters (2009) (preprint arxiv)

  • “High Throughput Image Reconstruction and Analysis", A.R Rao and G.A. Cecchi, Eds., Artech House Publishers (2009)

  • “Topological effects of Synaptic Time Dependent Plasticity”, J.R. Kozloski and G.A. Cecchi, preprint arxiv (2008)

  • “Ordered cyclic motifs contribute to dynamic stability in biological and engineered networks”, G.A. Cecchi, A. Ma'ayan, J. Wagner, A.R. Rao, R. Iyengar and G. Stolovitzky, PNAS 105(49):19235-40 (2008)

  • “Prediction and Interpretation of Distributed Neural Activity with Sparse Models”, M. Carroll, I. Rish, R. Garg, A.R. Rao and G.A. Cecchi, Neuroimage 44(1):112-22 (2009)

  • “Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network”, A.R. Rao and G.A. Cecchi, Proc. Artificial Neural Networks - ICANN 08, LNCS 5164, pp. 685-694 (2008)

  • “Closed form supervised dimensionality reduction with generalized linear models”, I. Rish, G.A. Cecchi, G. Grabarnick, F. Perreira, G. Gordon, Int. Conf. Machine Learning (2008)

  • “Unsupervised segmentation and binding in a multi-layer networks of dynamical units”, A.R. Rao, G.A. Cecchi, C.C. Peck & J. Kozloski, Proceedings of the International Joint Conference on Neural Networks (2008).

  • “Inferring brain dynamics using Granger causality on fMRI data”, G.A. Cecchi, R. Garg & A.R. Rao, Proceedings of the IEEE International Symposium on Biomedical Imaging, Paris (2008).

  • “Statistics of natural scenes and the cortical representation of color”, G.A. Cecchi & A.R. Rao, Proceedings of the International Joint Conference on Neural Networks, San Jose (2008).

  • "Improved mapping of information distribution across the cortical surface with the Support Vector Machine.", Y. Xiao. A.R. Rao, G.A. Cecchi, & E. Kaplan, Neural Networks 21(2-3):341-8 (2008).[pdf]

  • "Statistics of Natural Images and the Cortical Representation of Color", G.A. Cecchi, A.R. Rao, Y. Xiao & E. Kaplan, Proceedings of the 20th Annual Symposium of the International Society of Optical Enginnering on Electronic Imaging, San Jose CA (2008).[pdf]

  • "Unsupervised segmentation with dynamical units", A.R. Rao, G.A. Cecchi, C.C. Peck & J. Kozloski, IEEE Transactions on Neural Networks 19, 168-182 (2008).[pdf]

  • "Identifying directed links in large scale functional networks: application to brain fMRI", G.A. Cecchi, A.R. Rao, M.V. Centeno, M. Baliki, A.V. Apkarian & D.R. Chialvo, BMC Cell Biology 2007, 8(Suppl 1):S5.[pdf]

  • "High Performance Computing environment for high throughput microscopy", A.R. Rao, G.A. Cecchi & M.O. Magnasco, BMC Cell Biology 2007, 8(Suppl 1):S9.[pdf]

  • "Cortical representation of information about visual attributes: one network or many?", Y. Xiao, A. Cast, A.R. Rao, G.A. Cecchi & E. Kaplan, Proceedings of the International Joint Conference on Neural Networks, Orlando (2007).[pdf]

  • "The use of parameterless self-organizing maps in modeling the visual cortex", A.R. Rao & G.A. Cecchi, Proceedings of the International Symposium on Neural Networks, China, 2007.

  • "Topographic infomax in a neural multigrid", J. Kozloski, G.A. Cecchi, C.C. Peck & A.R. Rao, Proceedings of the International Symposium on Neural Networks, China, 2007.

  • "Layer 2/3 Is A Neural Multigrid: Infomax In A Local Network Explains V1 Hypercolumn Formation", J. Kozloski, C.C. Peck, G.A. Cecchi & A.R. Rao, Proceedings of COSYNE, 2007.

  • "Performance characterization of an oscillatory neural network that achieves binding through phase synchronization", A.R. Rao, G.A. Cecchi, C.C. Peck & J. Kosloski, Proceedings of the Dynamic Brain Forum, Japan, 2007.

  • "A network for computing topographic infomax with and overcomplete basis correlates with the neocortical microcircuit", J. Kozloski, G.A. Cecchi, C.C. Peck & A.R. Rao, Proceedings of the Dynamic Brain Forum, Japan, 2007.[pdf]

  • "An Optimization Approach to Achieve Unsupervised Segmentation and Binding in a Dynamical Network", A.R. Rao, G.A. Cecchi, C.C. Peck & J. Kozloski, Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada (2006).[pdf]

  • "Inference and Segmentation in Cortical Processing", Y. Liu, G.A. Cecchi, A.R. Rao, J. Kozloski & C.C. Peck, Proceedings of the 18th Annual Symposium of the International Society of Optical Enginnering on Electronic Imaging, San Jose CA (2006).[pdf]

  • "Translation Invariance in a Network of Oscillatory Units", A.R. Rao, G.A. Cecchi, Kozloski & C.C. Peck, Proceedings of the 18th Annual Symposium of the International Society of Optical Enginnering on Electronic Imaging, San Jose CA (2006).[pdf]

  • "Unsupervised Segmentation with Dynamical Units", A.R. Rao, G.A. Cecchi, Kozloski & C.C. Peck, IBM Technical Report RC23838 (W0512) (2005).[pdf]

  • "Computational models of adult neurogenesis", G.A. Cecchi & M.O. Magnasco, Physica A 356, 43,47 (2005).[pdf]

  • "Self-organizing cortical color maps", A.R. Rao, G.A. Cecchi, C.C. Peck & J. Kozloski,Proceedinga of the 17th Annual Symposium of the International Society of Optical Engineering on Electronic Imaging, San Jose CA (2005).[pdf]

  • "Evaluation of the effect of input stimuli on the quality of orientation maps produced through self organization", A.R. Rao, G.A. Cecchi, C.C.Peck, J. Kozloski, Proceedings of the Scandinavian Conference on Image Analysis - SCIA05 (accepted, 2005).[pdf]

  • "Computational models of adult neurogenesis", G.A. Cecchi & M.O. Magnasco, Physica A 356, 43,47 (2005).[pdf]

  • "Scale-free functional brain networks", V.M. Eguiluz, D.R. Chialvo, G.A. Cecchi, M. Baliki, A.V. Apkarian, Physical Review Letters 94, 018102 (2005).[pdf]

  • "A Biologically Motivated Classifier that Preserves Implicit Relationship Information in Layered Networks", C.C. Peck, J. Kozloski, G.A. Cecchi, A.R. Rao, Proceedings of the 17th International Conference on Adaptive and Natural Computing Algorithms ICANNGA05, Coimbra, Portugal (accepted, 2005). [pdf]

  • "Simulation Infrastructure for Modeling Large Scale Neural Systems", C.C. Peck, J. Kozloski, A.R. Rao, G.A. Cecchi, Proceedings of the International Conference on Computer Science (ICCS) 2003, P.M.A. Sloot et al (Eds.) LNCS 2660, pp. 1127-1136,Springer-Verlag (2003).[pdf]

  • "Analysis of brain activity as a massively interconnected dynamical network with fMRI", V. Martinez Eguiluz, Y. Sosa, M. Baliki, G.A. Cecchi, D.R. Chialvo, A.V.Apkarian,Proceedings of the Human Brain Mapping Meeting 2003, in press.

  • "Functional large-scale network analysis for chronic pain", A.V. Apkarian, M. Baliki, Y. Sosa, Victor E Eguliuz, G.A. Cecchi & D.R. Chialvo, Proceedings of the Human Brain Mapping Meeting 2003, in press.

  • "Global organization of the Wordnet lexicon",M. Sigman and G.A. Cecchi, Proc. Natl. Acad. Sci. 99(3):1742-7 (2002).[pdf]

  • "Simple motor gestures for birdsong", T.Gardner, R. Laje, G.A. Cecchi, M.O. Magnasco and G.B. Mindlin, Phys. Rev. Lett. 87, 208101 (2001). [pdf]

  • "Unsupervised learning and adaptation in a model of adult neurogenesis", G.A. Cecchi, L.T Petreanu, A. Alvarez-Buylla and M.O. Magnasco, Journal of Computational Neuroscience, 11(2):175-82 (2001). [pdf]

  • "On a common circle: natural scenes and Gestalt rules", M. Sigman, G.A. Cecchi, C.D. Gilbert and M.O. Magnasco, Proc. Natl. Acad. Sci. 98: 1935-1940 (2001). [pdf]

  • "Noise-induced correlations in extended excitable media", G.A. Cecchi, D.R. Chialvo and M.O. Magnasco, Phys. Rev. E 61(5), 5654-5658 (2000). [pdf]

  • "Noise in neurons in message-dependent", G.A. Cecchi, M. Sigman, J-M. Alonso, L. Martnez, D.R.Chialvo and M.O. Magnasco, Proc. Natl. Acad. Sci. 97(10), 5557-5561 (2000). [pdf]

  • "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, J. Neurosci. Methods 87, 147-158 (1999). [pdf]

  • "Ontogenesis of syllabic maps in the caudomedial neostriatum of canaries", S. Ribeiro, G.A. Cecchi, & M.O. Magnasco, European Journal of Neuroscience 10: 17904 Suppl. 10 (1998).

  • "Analysis of a syllabic representation in the brain of canaries", G.A. Cecchi, S. Ribeiro, C.V. Mello & M.O. Magnasco, European Journal of Neuroscience 10: 17917 Suppl. 10 (1998).

  • "DNA Based Molecular Computation: Template-Template Interactions in PCR", P. Kaplan, G.A. Cecchi and A.J. Libchaber, DNA Based Computers II, DIMACS: Series in Discrete Mathematics and Theoretical Computer Science, Vol 44, American Mathematical Society (1999). [pdf]

  • "Toward a Song Code:Syllabic Representation in the Canary Brain", S. Ribeiro, G.A. Cecchi, M.O. Magnasco, C.V. Mello, Neuron 21, 359-371 (1998). [pdf]

  • "Efficiency of DNA Replication in the Polymerase Chain Reaction", G. Stolovitzky G.A. Cecchi, Proc. Nat. Acad. Sci. 93 (23), 12947-12952 (1996). [pdf]

  • "Negative Resistance and Rectification in Brownian Transport", G.A. Cecchi and M.O. Magnasco, Phys. Rev. Lett. 76 (11), 1968-1971 (1996). [pdf]

  • "Periodically Kicked Hard Oscillators",G.A. Cecchi, D.L. Gonzalez, M.O. Magnasco, G.B. Mindlin, O. Piro and A. Santillan, Chaos 3 (1), 51-62 (1993). [pdf, big file!]

  • "A brain for language and the language of the brain", G.A. Cecchi, PhD Dissertation, The Rockefeller University (1999). [zipped ps]