Publications
Filters: Author is S. Klampfl [Clear All Filters]
"Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks",
NIPS 2009: Advances in Neural Information Processing Systems, vol. 22: MIT Press, 2010, 2009.
Abstract
"Spiking neurons can learn to solve information bottleneck problems and to extract independent components",
Neural Computation, vol. 21, no. 4, pp. 911-959, 2009.
Abstract
"Information bottleneck optimization and independent component extraction with spiking neurons",
NIPS 2006: Advances in Neural Information Processing Systems, vol. 19: MIT Press, pp. 713-720, 2007, 2006.
Abstract


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