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Christian G Mayr

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

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Frontiers in Synaptic Neuroscience|March 23, 2011
Rate and pulse based plasticity governed by local synaptic state variablesChristian G Mayr, Johannes Partzsch
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|June 1, 2016
Editorial: Synaptic Plasticity for Neuromorphic SystemsChristian G Mayr, Sadique Sheik, Chiara Bartolozzi, et al.
Frontiers in Neuroscience|May 29, 2019
A Biohybrid Setup for Coupling Biological and Neuromorphic Neural NetworksHanna Keren, Johannes Partzsch, Shimon Marom, et al.
Frontiers in Neuroscience|August 8, 2014
Configurable analog-digital conversion using the neural engineering frameworkChristian G Mayr, Johannes Partzsch, Marko Noack, et al.
Frontiers in Neuroscience|October 21, 2015
Implementation of a spike-based perceptron learning rule using TiO2-x memristorsHesham Mostafa, Ali Khiat, Alexander Serb, et al.
Frontiers in Neuroscience|February 21, 2015
Switched-capacitor realization of presynaptic short-term-plasticity and stop-learning synapses in 28 nm CMOSMarko Noack, Johannes Partzsch, Christian G Mayr, et al.
Frontiers in Neuroscience|July 16, 2015
Single pairing spike-timing dependent plasticity in BiFeO3 memristors with a time window of 25 ms to 125 μsNan Du, Mahdi Kiani, Christian G Mayr, 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|December 4, 2018
Memory-Efficient Deep Learning on a SpiNNaker 2 PrototypeChen Liu, Guillaume Bellec, Bernhard Vogginger, et al.
Pageof 2

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

Sort By:
Pageof 2
Frontiers in Synaptic Neuroscience|March 23, 2011
Rate and pulse based plasticity governed by local synaptic state variablesChristian G Mayr, Johannes Partzsch
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|June 1, 2016
Editorial: Synaptic Plasticity for Neuromorphic SystemsChristian G Mayr, Sadique Sheik, Chiara Bartolozzi, et al.
Frontiers in Neuroscience|May 29, 2019
A Biohybrid Setup for Coupling Biological and Neuromorphic Neural NetworksHanna Keren, Johannes Partzsch, Shimon Marom, et al.
Frontiers in Neuroscience|August 8, 2014
Configurable analog-digital conversion using the neural engineering frameworkChristian G Mayr, Johannes Partzsch, Marko Noack, et al.
Frontiers in Neuroscience|October 21, 2015
Implementation of a spike-based perceptron learning rule using TiO2-x memristorsHesham Mostafa, Ali Khiat, Alexander Serb, et al.
Frontiers in Neuroscience|February 21, 2015
Switched-capacitor realization of presynaptic short-term-plasticity and stop-learning synapses in 28 nm CMOSMarko Noack, Johannes Partzsch, Christian G Mayr, et al.
Frontiers in Neuroscience|July 16, 2015
Single pairing spike-timing dependent plasticity in BiFeO3 memristors with a time window of 25 ms to 125 μsNan Du, Mahdi Kiani, Christian G Mayr, 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|December 4, 2018
Memory-Efficient Deep Learning on a SpiNNaker 2 PrototypeChen Liu, Guillaume Bellec, Bernhard Vogginger, et al.
Pageof 2