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NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
IWANN
2009
Springer
14 years 2 months ago
ZARAMIT: A System for the Evolutionary Study of Human Mitochondrial DNA
Abstract. ZARAMIT is an information system capable of fully automated phylogeny reconstruction. Methods have been tailored to mitochondrial DNA sequences, with focus on subproblem ...
Roberto Blanco, Elvira Mayordomo
BMCBI
2011
12 years 11 months ago
AMDORAP: Non-targeted metabolic profiling based on high-resolution LC-MS
Background: Liquid chromatography-mass spectrometry (LC-MS) utilizing the high-resolution power of an orbitrap is an important analytical technique for both metabolomics and prote...
Hiroki Takahashi, Takuya Morimoto, Naotake Ogasawa...
IJCNN
2006
IEEE
14 years 1 months ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
ICMLA
2008
13 years 9 months ago
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...