Wolfgang Maass
Affiliations: | Technische Universität Graz, Graz, Steiermark, Austria |
Area:
computation & theoryGoogle:
"Wolfgang Maass"Cross-listing: Neurotree
Children
Sign in to add trainee| Prashant Joshi | grad student | TU Graz (Neurotree) | |
| Stefan Klampfl | grad student | TU Graz (Neurotree) | |
| Malte J. Rasch | grad student | 2004-2008 | TU Graz (Neurotree) |
| Michael Pfeiffer | grad student | 2003-2010 | TU Graz |
| Bernhard Nessler | grad student | 2006-2013 | TU Graz (Neurotree) |
Collaborators
Sign in to add collaborator| Rui Ponte Costa | collaborator | 2011-2013 | Edinburgh (Neurotree) |
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Publications
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| Salaj D, Subramoney A, Kraisnikovic C, et al. (2021) Spike frequency adaptation supports network computations on temporally dispersed information. Elife. 10 |
| Bellec G, Scherr F, Subramoney A, et al. (2020) A solution to the learning dilemma for recurrent networks of spiking neurons. Nature Communications. 11: 3625 |
| Papadimitriou CH, Vempala SS, Mitropolsky D, et al. (2020) Brain computation by assemblies of neurons. Proceedings of the National Academy of Sciences of the United States of America |
| Kaiser J, Hoff M, Konle A, et al. (2019) Embodied Synaptic Plasticity With Online Reinforcement Learning. Frontiers in Neurorobotics. 13: 81 |
| Pokorny C, Ison MJ, Rao A, et al. (2019) STDP Forms Associations between Memory Traces in Networks of Spiking Neurons. Cerebral Cortex (New York, N.Y. : 1991) |
| Bohnstingl T, Scherr F, Pehle C, et al. (2019) Neuromorphic Hardware Learns to Learn. Frontiers in Neuroscience. 13: 483 |
| Yan Y, Kappel D, Neumaerker F, et al. (2019) Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype. Ieee Transactions On Biomedical Circuits and Systems |
| Liu C, Bellec G, Vogginger B, et al. (2018) Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype. Frontiers in Neuroscience. 12: 840 |
| Kappel D, Legenstein R, Habenschuss S, et al. (2018) A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning. Eneuro. 5 |
| Jonke Z, Legenstein R, Habenschuss S, et al. (2017) Feedback inhibition shapes emergent computational properties of cortical microcircuit motifs. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |