G A Cecchi

Summary

Affiliation: IBM Research
Country: USA

Publications

  1. pmc Predictive dynamics of human pain perception
    Guillermo A Cecchi
    Computational Biology Center, T J Watson IBM Research Laboratory, Yorktown Heights, New York, USA
    PLoS Comput Biol 8:e1002719. 2012
  2. pmc High performance computing environment for multidimensional image analysis
    A Ravishankar Rao
    IBM T, J, Watson Research Center, Yorktown Heights, NY 10598, USA
    BMC Cell Biol 8:S9. 2007
  3. ncbi request reprint Unsupervised learning and adaptation in a model of adult neurogenesis
    G A Cecchi
    Laboratory of Mathematical Physics, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
    J Comput Neurosci 11:175-82. 2001
  4. pmc Identifying directed links in large scale functional networks: application to brain fMRI
    Guillermo A Cecchi
    Computational Biology Center, T, J, Watson IBM Research Center, Yorktwon Heights, New York, USA
    BMC Cell Biol 8:S5. 2007
  5. pmc Statistics of natural scenes and cortical color processing
    Guillermo A Cecchi
    T J Watson IBM Research Center, Yorktown Heights, NY 10598, USA
    J Vis 10:21. 2010
  6. doi request reprint Unsupervised segmentation with dynamical units
    A Ravishankar Rao
    T J Watson IBM Research Center, Yorktown Heights, NY 10598, USA
    IEEE Trans Neural Netw 19:168-82. 2008
  7. pmc Noise in neurons is message dependent
    G A Cecchi
    Center for Studies in Physics and Biology, The Rockefeller University, New York, NY 10021, USA
    Proc Natl Acad Sci U S A 97:5557-61. 2000
  8. pmc Ordered cyclic motifs contribute to dynamic stability in biological and engineered networks
    AVI MA'AYAN
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, USA
    Proc Natl Acad Sci U S A 105:19235-40. 2008
  9. ncbi request reprint Scale-free brain functional networks
    Víctor M Eguíluz
    Instituto Mediterraneo de Estudios Avanzados, IMEDEA, E07122 Palma de Mallorca, Spain
    Phys Rev Lett 94:018102. 2005

Collaborators

Detail Information

Publications9

  1. pmc Predictive dynamics of human pain perception
    Guillermo A Cecchi
    Computational Biology Center, T J Watson IBM Research Laboratory, Yorktown Heights, New York, USA
    PLoS Comput Biol 8:e1002719. 2012
    ....
  2. pmc High performance computing environment for multidimensional image analysis
    A Ravishankar Rao
    IBM T, J, Watson Research Center, Yorktown Heights, NY 10598, USA
    BMC Cell Biol 8:S9. 2007
    ..If the throughput of the image processing stage is significantly increased, it can have a major impact in microscopy applications...
  3. ncbi request reprint Unsupervised learning and adaptation in a model of adult neurogenesis
    G A Cecchi
    Laboratory of Mathematical Physics, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
    J Comput Neurosci 11:175-82. 2001
    ....
  4. pmc Identifying directed links in large scale functional networks: application to brain fMRI
    Guillermo A Cecchi
    Computational Biology Center, T, J, Watson IBM Research Center, Yorktwon Heights, New York, USA
    BMC Cell Biol 8:S5. 2007
    ..The method provides a snapshot of the ongoing dynamics of the brain without sacrificing resolution, as the analysis is tractable even for very large numbers of voxels...
  5. pmc Statistics of natural scenes and cortical color processing
    Guillermo A Cecchi
    T J Watson IBM Research Center, Yorktown Heights, NY 10598, USA
    J Vis 10:21. 2010
    ..The agreement between our findings and biological observations supports the ecological theory of perception...
  6. doi request reprint Unsupervised segmentation with dynamical units
    A Ravishankar Rao
    T J Watson IBM Research Center, Yorktown Heights, NY 10598, USA
    IEEE Trans Neural Netw 19:168-82. 2008
    ..We argue that this objective function can provide a possible formal interpretation of the binding problem and that the implementation of the network architecture and dynamics is biologically plausible...
  7. pmc Noise in neurons is message dependent
    G A Cecchi
    Center for Studies in Physics and Biology, The Rockefeller University, New York, NY 10021, USA
    Proc Natl Acad Sci U S A 97:5557-61. 2000
    ..However, we also show the existence of error-correcting topologies, which can achieve better timing reliability than their components...
  8. pmc Ordered cyclic motifs contribute to dynamic stability in biological and engineered networks
    AVI MA'AYAN
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, USA
    Proc Natl Acad Sci U S A 105:19235-40. 2008
    ..This topology provides more dynamic stability in large networks...
  9. ncbi request reprint Scale-free brain functional networks
    Víctor M Eguíluz
    Instituto Mediterraneo de Estudios Avanzados, IMEDEA, E07122 Palma de Mallorca, Spain
    Phys Rev Lett 94:018102. 2005
    ..All these properties, typical of scale-free small-world networks, reflect important functional information about brain states...