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Johannes Bill

Showing results (1-10 of 13) with videos related to

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Frontiers in Neuroscience|January 8, 2015
A compound memristive synapse model for statistical learning through STDP in spiking neural networksJohannes Bill, Robert Legenstein
Annual Review of Vision Science|March 31, 2025
Hierarchical Vector Analysis of Visual Motion PerceptionSamuel J Gershman, Johannes Bill, Jan Drugowitsch
Nature Communications|December 1, 2022
Visual motion perception as online hierarchical inferenceJohannes Bill, Samuel J Gershman, Jan Drugowitsch
Plos Computational Biology|November 19, 2011
Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neuronsLars Buesing, Johannes Bill, Bernhard Nessler, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 17, 2020
Hierarchical structure is employed by humans during visual motion perceptionJohannes Bill, Hrag Pailian, Samuel J Gershman, et al.
Scientific Reports|February 13, 2021
Human visual motion perception shows hallmarks of Bayesian structural inferenceSichao Yang, Johannes Bill, Jan Drugowitsch, et al.
Physical Review. E|November 15, 2016
Stochastic inference with spiking neurons in the high-conductance stateMihai A Petrovici, Johannes Bill, Ilja Bytschok, et al.
Nature Communications|September 30, 2016
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapsesAlexander Serb, Johannes Bill, Ali Khiat, et al.
Plos One|August 19, 2015
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral InhibitionJohannes Bill, Lars Buesing, Stefan Habenschuss, et al.
Frontiers in Computational Neuroscience|October 30, 2010
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic PlasticityJohannes Bill, Klaus Schuch, Daniel Brüderle, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Frontiers in Neuroscience|January 8, 2015
A compound memristive synapse model for statistical learning through STDP in spiking neural networksJohannes Bill, Robert Legenstein
Annual Review of Vision Science|March 31, 2025
Hierarchical Vector Analysis of Visual Motion PerceptionSamuel J Gershman, Johannes Bill, Jan Drugowitsch
Nature Communications|December 1, 2022
Visual motion perception as online hierarchical inferenceJohannes Bill, Samuel J Gershman, Jan Drugowitsch
Plos Computational Biology|November 19, 2011
Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neuronsLars Buesing, Johannes Bill, Bernhard Nessler, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 17, 2020
Hierarchical structure is employed by humans during visual motion perceptionJohannes Bill, Hrag Pailian, Samuel J Gershman, et al.
Scientific Reports|February 13, 2021
Human visual motion perception shows hallmarks of Bayesian structural inferenceSichao Yang, Johannes Bill, Jan Drugowitsch, et al.
Physical Review. E|November 15, 2016
Stochastic inference with spiking neurons in the high-conductance stateMihai A Petrovici, Johannes Bill, Ilja Bytschok, et al.
Nature Communications|September 30, 2016
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapsesAlexander Serb, Johannes Bill, Ali Khiat, et al.
Plos One|August 19, 2015
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral InhibitionJohannes Bill, Lars Buesing, Stefan Habenschuss, et al.
Frontiers in Computational Neuroscience|October 30, 2010
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic PlasticityJohannes Bill, Klaus Schuch, Daniel Brüderle, et al.
Pageof 2