Bernhard Nessler

Affiliations: 
Technische Universität Graz, Graz, Steiermark, Austria 
Area:
theoretical neuroscience, machine learning
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"Bernhard Nessler"
Mean distance: 16.52 (cluster 17)
 

Parents

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Wolfgang Maass grad student 2006-2013 TU Graz
 (PhD)
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Publications

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Hartmann C, Lazar A, Nessler B, et al. (2015) Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. Plos Computational Biology. 11: e1004640
Bill J, Buesing L, Habenschuss S, et al. (2015) Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition. Plos One. 10: e0134356
Kappel D, Nessler B, Maass W. (2014) STDP installs in Winner-Take-All circuits an online approximation to hidden Markov model learning. Plos Computational Biology. 10: e1003511
Nessler B, Pfeiffer M, Buesing L, et al. (2013) Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity. Plos Computational Biology. 9: e1003037
Habenschuss S, Bill J, Nessler B. (2012) Homeostatic plasticity in Bayesian spiking networks a Expectation Maximization with posterior constraints Advances in Neural Information Processing Systems. 1: 773-781
Buesing L, Bill J, Nessler B, et al. (2011) Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons. Plos Computational Biology. 7: e1002211
Pfeiffer M, Nessler B, Douglas RJ, et al. (2010) Reward-modulated Hebbian learning of decision making. Neural Computation. 22: 1399-444
Nessler B, Pfeiffer M, Maass W. (2009) 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
Nessler B, Pfeiffer M, Maass W. (2009) Hebbian learning of Bayes optimal decisions Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1169-1176
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