 | 2012 |
| 26 |  | Jean Honorio,
Dimitris Samaras,
Irina Rish,
Guillermo A. Cecchi:
Variable Selection for Gaussian Graphical Models.
Journal of Machine Learning Research - Proceedings Track 22: 538-546 (2012) |
| 2011 |
| 25 |  | A. Ravishankar Rao,
Guillermo A. Cecchi:
The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks.
IJCNN 2011: 1177-1184 |
| 24 |  | A. Ravishankar Rao,
Rahul Garg,
Guillermo A. Cecchi:
A spatio-temporal support vector machine searchlight for fMRI analysis.
ISBI 2011: 1023-1026 |
| 23 |  | Rahul Garg,
Guillermo A. Cecchi,
A. Ravishankar Rao:
Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI.
ISBI 2011: 1581-1584 |
| 22 |  | Rahul Garg,
Guillermo A. Cecchi,
A. Ravishankar Rao:
Full-brain auto-regressive modeling (FARM) using fMRI.
NeuroImage 58(2): 416-441 (2011) |
| 2010 |
| 21 |  | Irina Rish,
Guillermo A. Cecchi,
Marwan N. Baliki,
A. Vania Apkarian:
Sparse Regression Models of Pain Perception.
Brain Informatics 2010: 212-223 |
| 20 |  | A. Ravishankar Rao,
Guillermo A. Cecchi:
Investigating the variation of orientation tuning in a computational model of the visual cortex.
IJCNN 2010: 1-8 |
| 2009 |
| 19 |  | A. Ravishankar Rao,
Guillermo A. Cecchi:
Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations.
ICANN (1) 2009: 587-597 |
| 18 |  | A. Ravishankar Rao,
Guillermo A. Cecchi:
An optimization approach to understanding structure-function relationships in the visual cortex.
IJCNN 2009: 2603-2610 |
| 17 |  | Guillermo A. Cecchi,
Rahul Garg,
A. Ravishankar Rao:
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies.
MICCAI (1) 2009: 1018-1025 |
| 16 |  | Guillermo A. Cecchi,
Irina Rish,
Benjamin Thyreau,
Bertrand Thirion,
Marion Plaze,
Marie-Laure Paillere-Martinot,
Catherine Martelli,
Jean-Luc Martinot,
Jean-Baptiste Poline:
Discriminative Network Models of Schizophrenia.
NIPS 2009: 252-260 |
| 15 |  | Melissa K. Carroll,
Guillermo A. Cecchi,
Irina Rish,
Rahul Garg,
A. Ravishankar Rao:
Prediction and interpretation of distributed neural activity with sparse models.
NeuroImage 44(1): 112-122 (2009) |
| 2008 |
| 14 |  | A. Ravishankar Rao,
Guillermo A. Cecchi:
Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network.
ICANN (2) 2008: 685-694 |
| 13 |  | Irina Rish,
Genady Grabarnik,
Guillermo A. Cecchi,
Francisco Pereira,
Geoffrey J. Gordon:
Closed-form supervised dimensionality reduction with generalized linear models.
ICML 2008: 832-839 |
| 12 |  | A. Ravishankar Rao,
Guillermo A. Cecchi,
Charles C. Peck,
James Kozloski:
Efficient segmentation in multi-layer oscillatory networks.
IJCNN 2008: 2966-2973 |
| 11 |  | Guillermo A. Cecchi,
Rahul Garg,
A. Ravishankar Rao:
Inferring brain dynamics using granger causality on fMRI data.
ISBI 2008: 604-607 |
| 10 |  | A. Ravishankar Rao,
Guillermo A. Cecchi,
Charles C. Peck,
James Kozloski:
Unsupervised Segmentation With Dynamical Units.
IEEE Transactions on Neural Networks 19(1): 168-182 (2008) |
| 9 |  | Youping Xiao,
Ravi Rao,
Guillermo A. Cecchi,
Ehud Kaplan:
Improved mapping of information distribution across the cortical surface with the support vector machine.
Neural Networks 21(2-3): 341-348 (2008) |
| 2007 |
| 8 |  | Charles C. Peck,
James Kozloski,
Guillermo A. Cecchi,
Sean Hill,
Felix Schürmann,
Henry Markram,
Ravi Rao:
Network-Related Challenges and Insights from Neuroscience.
BIOWIRE 2007: 67-78 |
| 7 |  | Youping Xiao,
Ravi Rao,
Guillermo A. Cecchi,
Ehud Kaplan:
Cortical representation of information about visual attributes: one network or many?
IJCNN 2007: 1785-1789 |
| 6 |  | James Kozloski,
Guillermo A. Cecchi,
Charles C. Peck,
A. Ravishankar Rao:
Topographic Infomax in a Neural Multigrid.
ISNN (2) 2007: 500-509 |
| 5 |  | A. Ravishankar Rao,
Guillermo A. Cecchi,
Charles C. Peck,
James Kozloski:
Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network.
ISNN (2) 2007: 552-561 |
| 2006 |
| 4 |  | A. Ravishankar Rao,
Guillermo A. Cecchi,
Charles C. Peck,
James Kozloski:
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network.
IJCNN 2006: 4159-4166 |
| 2005 |
| 3 |  | A. Ravishankar Rao,
Guillermo A. Cecchi,
Charles C. Peck,
James Kozloski:
Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization.
SCIA 2005: 810-820 |
| 2003 |
| 2 |  | Charles C. Peck,
James Kozloski,
A. Ravishankar Rao,
Guillermo A. Cecchi:
Simulation Infrastructure for Modeling Large Scale Neural Systems.
International Conference on Computational Science 2003: 1127-1136 |
| 2001 |
| 1 |  | Guillermo A. Cecchi,
Leopoldo T. Petreanu,
Arturo Alvarez-Buylla,
Marcelo O. Magnasco:
Unsupervised Learning and Adaptation in a Model of Adult Neurogenesis.
Journal of Computational Neuroscience 11(2): 175-182 (2001) |