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JOCN
2010
90views more  JOCN 2010»
14 years 9 months ago
Distinct Neural Correlates for Volitional Generation and Inhibition of Saccades
■ The antisaccade task has proven highly useful in basic and clinical neuroscience, and the neural structures involved are well documented. However, the specific neurocognitive ...
Benedikt Reuter, Christian Kaufmann, Julia Bender,...
ESANN
2007
15 years 19 days ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
ICANN
2001
Springer
15 years 3 months ago
Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps
EEG segments recorded during microsleep events were transformed to the frequency domain and were subsequently clustered without the common summation of power densities in spectral ...
David Sommer, Martin Golz
NECO
2010
147views more  NECO 2010»
14 years 9 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...