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» On the Power of Local Orientations
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89
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NIPS
2007
15 years 2 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
91
Voted
NIPS
2007
15 years 2 months ago
An online Hebbian learning rule that performs Independent Component Analysis
Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but o...
Claudia Clopath, André Longtin, Wulfram Ger...
APVIS
2006
15 years 2 months ago
Coordinated perspectives and enhanced force-directed layout for the analysis of network motifs
The analysis of network motifs, patterns of local interconnections with potential functional properties, has applications in many fields of science. Network motif analysis is part...
Christian Klukas, Falk Schreiber, Henning Schw&oum...
97
Voted
DLT
2004
15 years 2 months ago
On the Maximum Coefficients of Rational Formal Series in Commuting Variables
We study the maximum function of any R+-rational formal series S in two commuting variables, which assigns to every integer n N, the maximum coefficient of the monomials of degree...
Christian Choffrut, Massimiliano Goldwurm, Violett...
106
Voted
ESANN
2004
15 years 2 months ago
Dimensionality reduction and classification using the distribution mapping exponent
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
Marcel Jirina