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» Information complexity of neural networks
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2006
Springer
15 years 6 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
ESANN
2004
15 years 7 months ago
Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
To emphasize the electrical nature of information processing in the brain we use a compartmental model of single neurons. The realistic simulation of wave-like activity in the recu...
Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, ...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
16 years 28 days ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
CIBCB
2007
IEEE
15 years 10 months ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay
CMG
2001
15 years 7 months ago
Software That Can Think and Do
Rapid advances in research and technology now allow data analysis and modeling of extremely complex systems. Methods from artificial intelligence (AI) such as Neural Networks have...
Bernard Domanski