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Physical Review. E
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February 17, 2018
Publisher's Note: Inverse Ising problem in continuous time: A latent variable approach [Phys. Rev. E 96, 062104 (2017)]
Christian Donner, Manfred Opper
Physical Review. E
|
January 20, 2018
Inverse Ising problem in continuous time: A latent variable approach
Christian Donner, Manfred Opper
Plos Computational Biology
|
January 18, 2017
Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations
Christian Donner, Klaus Obermayer, Hideaki Shimazaki
Plos Computational Biology
|
April 29, 2024
Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains
Christian Donner, Julian Bartram, Philipp Hornauer, et al.
Stem Cell Reports
|
January 26, 2024
DeePhys: A machine learning-assisted platform for electrophysiological phenotyping of human neuronal networks
Philipp Hornauer, Gustavo Prack, Nadia Anastasi, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Physical Review. E
|
February 17, 2018
Publisher's Note: Inverse Ising problem in continuous time: A latent variable approach [Phys. Rev. E 96, 062104 (2017)]
Christian Donner, Manfred Opper
Physical Review. E
|
January 20, 2018
Inverse Ising problem in continuous time: A latent variable approach
Christian Donner, Manfred Opper
Plos Computational Biology
|
January 18, 2017
Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations
Christian Donner, Klaus Obermayer, Hideaki Shimazaki
Plos Computational Biology
|
April 29, 2024
Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains
Christian Donner, Julian Bartram, Philipp Hornauer, et al.
Stem Cell Reports
|
January 26, 2024
DeePhys: A machine learning-assisted platform for electrophysiological phenotyping of human neuronal networks
Philipp Hornauer, Gustavo Prack, Nadia Anastasi, et al.
Page
of 1