Bernhard Nessler - Publications

Affiliations: 
Technische Universität Graz, Graz, Steiermark, Austria 
Area:
theoretical neuroscience, machine learning

9 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 Hartmann C, Lazar A, Nessler B, Triesch J. Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. Plos Computational Biology. 11: e1004640. PMID 26714277 DOI: 10.1371/Journal.Pcbi.1004640  1
2015 Bill J, Buesing L, Habenschuss S, Nessler B, Maass W, Legenstein R. Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition. Plos One. 10: e0134356. PMID 26284370 DOI: 10.1371/Journal.Pone.0134356  1
2014 Kappel D, Nessler B, Maass W. STDP installs in Winner-Take-All circuits an online approximation to hidden Markov model learning. Plos Computational Biology. 10: e1003511. PMID 24675787 DOI: 10.1371/Journal.Pcbi.1003511  1
2013 Nessler B, Pfeiffer M, Buesing L, Maass W. Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity. Plos Computational Biology. 9: e1003037. PMID 23633941 DOI: 10.1371/Journal.Pcbi.1003037  1
2012 Habenschuss S, Bill J, Nessler B. Homeostatic plasticity in Bayesian spiking networks a Expectation Maximization with posterior constraints Advances in Neural Information Processing Systems. 1: 773-781.  1
2011 Buesing L, Bill J, Nessler B, Maass W. Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons. Plos Computational Biology. 7: e1002211. PMID 22096452 DOI: 10.1371/Journal.Pcbi.1002211  1
2010 Pfeiffer M, Nessler B, Douglas RJ, Maass W. Reward-modulated Hebbian learning of decision making. Neural Computation. 22: 1399-444. PMID 20141476 DOI: 10.1162/Neco.2010.03-09-980  1
2009 Nessler B, Pfeiffer M, Maass W. STDP enables spiking neurons to detect hidden causes of their inputs Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1357-1365.  1
2009 Nessler B, Pfeiffer M, Maass W. Hebbian learning of Bayes optimal decisions Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1169-1176.  1
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