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Johannes Partzsch

Showing results (1-10 of 17) with videos related to

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IEEE Transactions on Neural Networks|May 17, 2011
Analyzing the scaling of connectivity in neuromorphic hardware and in models of neural networksJohannes Partzsch, René Schüffny
Frontiers in Neuroscience|November 6, 2015
Network-driven design principles for neuromorphic systemsJohannes Partzsch, Rene Schüffny
Biological Cybernetics|April 25, 2012
Developing structural constraints on connectivity for biologically embedded neural networksJohannes Partzsch, René Schüffny
Frontiers in Synaptic Neuroscience|March 23, 2011
Rate and pulse based plasticity governed by local synaptic state variablesChristian G Mayr, Johannes Partzsch
Computational Intelligence and Neuroscience|July 9, 2009
On the relation between bursts and dynamic synapse properties: a modulation-based ansatzChristian Mayr, Johannes Partzsch, Rene Schüffny
Journal of Computational Neuroscience|August 13, 2011
Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networksStephan Henker, Johannes Partzsch, René Schüffny
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|May 29, 2019
A Biohybrid Setup for Coupling Biological and Neuromorphic Neural NetworksHanna Keren, Johannes Partzsch, Shimon Marom, et al.
Frontiers in Neuroscience|February 7, 2015
Reducing the computational footprint for real-time BCPNN learningBernhard Vogginger, René Schüffny, Anders Lansner, et al.
Iscience|October 21, 2020
Plasticity and Adaptation in Neuromorphic Biohybrid SystemsRichard George, Michela Chiappalone, Michele Giugliano, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks|May 17, 2011
Analyzing the scaling of connectivity in neuromorphic hardware and in models of neural networksJohannes Partzsch, René Schüffny
Frontiers in Neuroscience|November 6, 2015
Network-driven design principles for neuromorphic systemsJohannes Partzsch, Rene Schüffny
Biological Cybernetics|April 25, 2012
Developing structural constraints on connectivity for biologically embedded neural networksJohannes Partzsch, René Schüffny
Frontiers in Synaptic Neuroscience|March 23, 2011
Rate and pulse based plasticity governed by local synaptic state variablesChristian G Mayr, Johannes Partzsch
Computational Intelligence and Neuroscience|July 9, 2009
On the relation between bursts and dynamic synapse properties: a modulation-based ansatzChristian Mayr, Johannes Partzsch, Rene Schüffny
Journal of Computational Neuroscience|August 13, 2011
Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networksStephan Henker, Johannes Partzsch, René Schüffny
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|May 29, 2019
A Biohybrid Setup for Coupling Biological and Neuromorphic Neural NetworksHanna Keren, Johannes Partzsch, Shimon Marom, et al.
Frontiers in Neuroscience|February 7, 2015
Reducing the computational footprint for real-time BCPNN learningBernhard Vogginger, René Schüffny, Anders Lansner, et al.
Iscience|October 21, 2020
Plasticity and Adaptation in Neuromorphic Biohybrid SystemsRichard George, Michela Chiappalone, Michele Giugliano, et al.
Pageof 2