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Wolfgang Maass

Showing results (1-10 of 80) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|October 6, 2016
Energy-efficient neural network chips approach human recognition capabilitiesWolfgang Maass
National Science Review|April 5, 2024
How can neuromorphic hardware attain brain-like functional capabilities?Wolfgang Maass
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2002
Synapses as dynamic memory buffersWolfgang Maass, Henry Markram
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 29, 2011
Branch-specific plasticity enables self-organization of nonlinear computation in single neuronsRobert Legenstein, Wolfgang Maass
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2007
Edge of chaos and prediction of computational performance for neural circuit modelsRobert Legenstein, Wolfgang Maass
Nature Communications|January 29, 2025
Author Correction: A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learningYujie Wu, Wolfgang Maass
Neural Computation|June 23, 2005
Movement generation with circuits of spiking neuronsPrashant Joshi, Wolfgang Maass
Neural Computation|November 30, 2007
On the classification capability of sign-constrained perceptronsRobert Legenstein, Wolfgang Maass
Cerebral Cortex (New York, N.Y. : 1991)|February 17, 2006
A statistical analysis of information-processing properties of lamina-specific cortical microcircuit modelsStefan Haeusler, Wolfgang Maass
Neural Networks : the Official Journal of the International Neural Network Society|September 10, 2005
Dynamics of information and emergent computation in generic neural microcircuit modelsThomas Natschläger, Wolfgang Maass
Pageof 8

Showing results (1-10 of 80) with videos related to

Sort By:
Pageof 8
Proceedings of the National Academy of Sciences of the United States of America|October 6, 2016
Energy-efficient neural network chips approach human recognition capabilitiesWolfgang Maass
National Science Review|April 5, 2024
How can neuromorphic hardware attain brain-like functional capabilities?Wolfgang Maass
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2002
Synapses as dynamic memory buffersWolfgang Maass, Henry Markram
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 29, 2011
Branch-specific plasticity enables self-organization of nonlinear computation in single neuronsRobert Legenstein, Wolfgang Maass
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2007
Edge of chaos and prediction of computational performance for neural circuit modelsRobert Legenstein, Wolfgang Maass
Nature Communications|January 29, 2025
Author Correction: A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learningYujie Wu, Wolfgang Maass
Neural Computation|June 23, 2005
Movement generation with circuits of spiking neuronsPrashant Joshi, Wolfgang Maass
Neural Computation|November 30, 2007
On the classification capability of sign-constrained perceptronsRobert Legenstein, Wolfgang Maass
Cerebral Cortex (New York, N.Y. : 1991)|February 17, 2006
A statistical analysis of information-processing properties of lamina-specific cortical microcircuit modelsStefan Haeusler, Wolfgang Maass
Neural Networks : the Official Journal of the International Neural Network Society|September 10, 2005
Dynamics of information and emergent computation in generic neural microcircuit modelsThomas Natschläger, Wolfgang Maass
Pageof 8