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Stefan Klampfl - Publications

Affiliations: 
Technische Universität Graz, Graz, Steiermark, Austria 
Area:
computation & theory
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7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Klampfl S, Kern R. Machine learning techniques for automatically extracting contextual Information from scientific publications Communications in Computer and Information Science. 548: 105-116. DOI: 10.1007/978-3-319-25518-7_9  0.342
2013 Klampfl S, Maass W. Emergence of dynamic memory traces in cortical microcircuit models through STDP. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 11515-29. PMID 23843522 DOI: 10.1523/Jneurosci.5044-12.2013  0.519
2012 Klampfl S, David SV, Yin P, Shamma SA, Maass W. A quantitative analysis of information about past and present stimuli encoded by spikes of A1 neurons. Journal of Neurophysiology. 108: 1366-80. PMID 22696538 DOI: 10.1152/Jn.00935.2011  0.571
2010 Klampfl S, Maass W. A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction. Neural Computation. 22: 2979-3035. PMID 20858129 DOI: 10.1162/Neco_A_00050  0.598
2009 Klampfl S, Legenstein R, Maass W. Spiking neurons can learn to solve information bottleneck problems and extract independent components. Neural Computation. 21: 911-59. PMID 19018708 DOI: 10.1162/Neco.2008.01-07-432  0.617
2009 Klampfl S, Maass W. Replacing supervised classification learning by slow feature analysis in spiking neural networks Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 988-996.  0.495
2007 Klampfl S, Legenstein R, Maass W. Information bottleneck optimization and independent component extraction with spiking neurons Advances in Neural Information Processing Systems. 713-720.  0.579
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