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Claus Metzner

Showing results (11-20 of 37) with videos related to

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Frontiers in Computational Neuroscience|February 23, 2019
Analysis of Structure and Dynamics in Three-Neuron MotifsPatrick Krauss, Alexandra Zankl, Achim Schilling, et al.
Communications Biology|December 11, 2021
Sleep as a random walk: a super-statistical analysis of EEG data across sleep stagesClaus Metzner, Achim Schilling, Maximilian Traxdorf, et al.
Scientific Reports|May 19, 2026
Illuminating the black box of reservoir computingClaus Metzner, Thomas Kinfe, Andreas Maier, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 16, 2021
Quantifying the separability of data classes in neural networksAchim Schilling, Andreas Maier, Richard Gerum, et al.
Neural Computation|February 16, 2024
Quantifying and Maximizing the Information Flux in Recurrent Neural NetworksClaus Metzner, Marius E Yamakou, Dennis Voelkl, et al.
Neurobiology of Sleep and Circadian Rhythms|June 5, 2023
Extracting continuous sleep depth from EEG data without machine learningClaus Metzner, Achim Schilling, Maximilian Traxdorf, et al.
Nature Communications|June 26, 2015
Superstatistical analysis and modelling of heterogeneous random walksClaus Metzner, Christoph Mark, Julian Steinwachs, et al.
Scientific Reports|July 5, 2022
Neural network based successor representations to form cognitive maps of space and languagePaul Stoewer, Christian Schlieker, Achim Schilling, et al.
Plos One|April 10, 2019
Weight statistics controls dynamics in recurrent neural networksPatrick Krauss, Marc Schuster, Verena Dietrich, et al.
Frontiers in Neuroscience|June 4, 2019
Objective Estimation of Sensory Thresholds Based on Neurophysiological ParametersAchim Schilling, Richard Gerum, Patrick Krauss, et al.
Pageof 4

Showing results (11-20 of 37) with videos related to

Sort By:
Pageof 4
Frontiers in Computational Neuroscience|February 23, 2019
Analysis of Structure and Dynamics in Three-Neuron MotifsPatrick Krauss, Alexandra Zankl, Achim Schilling, et al.
Communications Biology|December 11, 2021
Sleep as a random walk: a super-statistical analysis of EEG data across sleep stagesClaus Metzner, Achim Schilling, Maximilian Traxdorf, et al.
Scientific Reports|May 19, 2026
Illuminating the black box of reservoir computingClaus Metzner, Thomas Kinfe, Andreas Maier, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 16, 2021
Quantifying the separability of data classes in neural networksAchim Schilling, Andreas Maier, Richard Gerum, et al.
Neural Computation|February 16, 2024
Quantifying and Maximizing the Information Flux in Recurrent Neural NetworksClaus Metzner, Marius E Yamakou, Dennis Voelkl, et al.
Neurobiology of Sleep and Circadian Rhythms|June 5, 2023
Extracting continuous sleep depth from EEG data without machine learningClaus Metzner, Achim Schilling, Maximilian Traxdorf, et al.
Nature Communications|June 26, 2015
Superstatistical analysis and modelling of heterogeneous random walksClaus Metzner, Christoph Mark, Julian Steinwachs, et al.
Scientific Reports|July 5, 2022
Neural network based successor representations to form cognitive maps of space and languagePaul Stoewer, Christian Schlieker, Achim Schilling, et al.
Plos One|April 10, 2019
Weight statistics controls dynamics in recurrent neural networksPatrick Krauss, Marc Schuster, Verena Dietrich, et al.
Frontiers in Neuroscience|June 4, 2019
Objective Estimation of Sensory Thresholds Based on Neurophysiological ParametersAchim Schilling, Richard Gerum, Patrick Krauss, et al.
Pageof 4