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JCNS
2010
104views more  JCNS 2010»
15 years 3 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
TOG
2008
104views more  TOG 2008»
15 years 3 months ago
A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings
Although mature technologies exist for acquiring images, geometry, and normals of small objects, they remain cumbersome and time-consuming for non-experts to employ on a large sca...
Benedict J. Brown, Corey Toler-Franklin, Diego Neh...
JMLR
2010
195views more  JMLR 2010»
15 years 3 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
JOCN
2010
90views more  JOCN 2010»
15 years 3 months ago
Distinct Neural Correlates for Volitional Generation and Inhibition of Saccades
■ The antisaccade task has proven highly useful in basic and clinical neuroscience, and the neural structures involved are well documented. However, the specific neurocognitive ...
Benedikt Reuter, Christian Kaufmann, Julia Bender,...
JSAC
2010
104views more  JSAC 2010»
15 years 3 months ago
A priority-based processor sharing model for TDM passive optical networks
—The use of passive optical networks (PONs) enables access rates of multi-Gbit/sec bandwidth and provision of quality of service for high definition multimedia services. In this...
Yan Wang, Moshe Zukerman, Ron Addie, Sammy Chan, R...
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