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Bernhard Vogginger

Showing results (1-10 of 11) with videos related to

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Frontiers in Neuroscience|December 15, 2022
E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardwareAmirhossein Rostami, Bernhard Vogginger, Yexin Yan, et al.
Frontiers in Neuroscience|February 7, 2015
Reducing the computational footprint for real-time BCPNN learningBernhard Vogginger, René Schüffny, Anders Lansner, et al.
IEEE Transactions on Biomedical Circuits and Systems|April 2, 2019
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 PrototypeYexin Yan, David Kappel, Felix Neumarker, et al.
Frontiers in Neuroscience|August 23, 2023
Efficient SNN multi-cores MAC array acceleration on SpiNNaker 2Jiaxin Huang, Florian Kelber, Bernhard Vogginger, et al.
Frontiers in Neuroscience|October 22, 2011
VLSI Implementation of a 2.8 Gevent/s Packet-Based AER Interface with Routing and Event Sorting FunctionalityStefan Scholze, Stefan Schiefer, Johannes Partzsch, et al.
Frontiers in Neuroscience|December 4, 2018
Memory-Efficient Deep Learning on a SpiNNaker 2 PrototypeChen Liu, Guillaume Bellec, Bernhard Vogginger, et al.
Plos One|October 11, 2014
Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platformsMihai A Petrovici, Bernhard Vogginger, Paul Müller, et al.
Frontiers in Neuroscience|April 18, 2022
Automotive Radar Processing With Spiking Neural Networks: Concepts and ChallengesBernhard Vogginger, Felix Kreutz, Javier López-Randulfe, et al.
Nature Communications|September 16, 2024
Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computingJens E Pedersen, Steven Abreu, Matthias Jobst, et al.
Biological Cybernetics|May 28, 2011
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systemsDaniel Brüderle, Mihai A Petrovici, Bernhard Vogginger, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Neuroscience|December 15, 2022
E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardwareAmirhossein Rostami, Bernhard Vogginger, Yexin Yan, et al.
Frontiers in Neuroscience|February 7, 2015
Reducing the computational footprint for real-time BCPNN learningBernhard Vogginger, René Schüffny, Anders Lansner, et al.
IEEE Transactions on Biomedical Circuits and Systems|April 2, 2019
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 PrototypeYexin Yan, David Kappel, Felix Neumarker, et al.
Frontiers in Neuroscience|August 23, 2023
Efficient SNN multi-cores MAC array acceleration on SpiNNaker 2Jiaxin Huang, Florian Kelber, Bernhard Vogginger, et al.
Frontiers in Neuroscience|October 22, 2011
VLSI Implementation of a 2.8 Gevent/s Packet-Based AER Interface with Routing and Event Sorting FunctionalityStefan Scholze, Stefan Schiefer, Johannes Partzsch, et al.
Frontiers in Neuroscience|December 4, 2018
Memory-Efficient Deep Learning on a SpiNNaker 2 PrototypeChen Liu, Guillaume Bellec, Bernhard Vogginger, et al.
Plos One|October 11, 2014
Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platformsMihai A Petrovici, Bernhard Vogginger, Paul Müller, et al.
Frontiers in Neuroscience|April 18, 2022
Automotive Radar Processing With Spiking Neural Networks: Concepts and ChallengesBernhard Vogginger, Felix Kreutz, Javier López-Randulfe, et al.
Nature Communications|September 16, 2024
Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computingJens E Pedersen, Steven Abreu, Matthias Jobst, et al.
Biological Cybernetics|May 28, 2011
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systemsDaniel Brüderle, Mihai A Petrovici, Bernhard Vogginger, et al.
Pageof 2