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» Using Image Stimuli to Drive fMRI Analysis
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135
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NIPS
1998
15 years 5 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
137
Voted
SMI
2003
IEEE
172views Image Analysis» more  SMI 2003»
15 years 9 months ago
Skeleton Based Shape Matching and Retrieval
In this paper, we describe a novel method for searching and comparing 3D objects. The method encodes the geometric and topological information in the form of a skeletal graph and ...
H. Sundar, Deborah Silver, Nikhil Gagvani, Sven J....
129
Voted
BMCBI
2010
134views more  BMCBI 2010»
15 years 3 months ago
ScreenMill: A freely available software suite for growth measurement, analysis and visualization of high-throughput screen data
Background: Many high-throughput genomic experiments, such as Synthetic Genetic Array and yeast two-hybrid, use colony growth on solid media as a screen metric. These experiments ...
John C. Dittmar, Robert J. D. Reid, Rodney Rothste...
116
Voted
ICPR
2008
IEEE
15 years 10 months ago
Finite element modeling of facial deformation in videos for computing strain pattern
We present a finite element modeling based approach to compute strain patterns caused by facial deformation during expressions in videos. A sparse motion field computed through ...
Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof,...
150
Voted
NIPS
2007
15 years 5 months ago
Receptive Fields without Spike-Triggering
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
Jakob Macke, Guenther Zeck, Matthias Bethge