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NIPS
2001
13 years 10 months ago
Correlation Codes in Neuronal Populations
Population codes often rely on the tuning of the mean responses to the stimulus parameters. However, this information can be greatly suppressed by long range correlations. Here we...
Maoz Shamir, Haim Sompolinsky
BMCBI
2006
86views more  BMCBI 2006»
13 years 8 months ago
Identification of QTLs controlling gene expression networks defined a priori
Background: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of inv...
Daniel J. Kliebenstein, Marilyn A. L. West, Hans v...
APPML
2008
66views more  APPML 2008»
13 years 9 months ago
On unbounded operators and applications
Assume that Au = f (1) is a solvable linear equation in a Hilbert space H, A is a linear, closed, densely defined, unbounded operator in H, which is not boundedly invertible, so p...
Alexander G. Ramm
IDA
2009
Springer
14 years 3 months ago
Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix
We consider a method for solving the permutation problem in blind source separation (BSS) by the frequency-domain independent component analysis (FD-ICA) by using phase linearity o...
Keisuke Toyama, Mark D. Plumbley
TNN
2010
182views Management» more  TNN 2010»
13 years 3 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi