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Philipp Thölke

Showing results (1-10 of 7) with videos related to

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Communications Biology|April 30, 2025
Caffeine induces age-dependent increases in brain complexity and criticality during sleepPhilipp Thölke, Maxine Arcand-Lavigne, Tarek Lajnef, et al.
Scientific Reports|January 21, 2026
Divergent creativity in humans and large language modelsAntoine Bellemare-Pepin, François Lespinasse, Philipp Thölke, et al.
Journal of Chemical Theory and Computation|May 14, 2024
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular SimulationsRaul P Pelaez, Guillem Simeon, Raimondas Galvelis, et al.
Neuroscience of Consciousness|November 25, 2025
Meditation induces shifts in neural oscillations, brain complexity, and critical dynamics: novel insights from MEGAnnalisa Pascarella, Philipp Thölke, David Meunier, et al.
Arxiv|March 11, 2024
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular SimulationsRaul P Pelaez, Guillem Simeon, Raimondas Galvelis, et al.
Nature Communications|September 15, 2023
Machine learning coarse-grained potentials of protein thermodynamicsMaciej Majewski, Adrià Pérez, Philipp Thölke, et al.
Neuroimage|June 29, 2023
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced dataPhilipp Thölke, Yorguin-Jose Mantilla-Ramos, Hamza Abdelhedi, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Communications Biology|April 30, 2025
Caffeine induces age-dependent increases in brain complexity and criticality during sleepPhilipp Thölke, Maxine Arcand-Lavigne, Tarek Lajnef, et al.
Scientific Reports|January 21, 2026
Divergent creativity in humans and large language modelsAntoine Bellemare-Pepin, François Lespinasse, Philipp Thölke, et al.
Journal of Chemical Theory and Computation|May 14, 2024
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular SimulationsRaul P Pelaez, Guillem Simeon, Raimondas Galvelis, et al.
Neuroscience of Consciousness|November 25, 2025
Meditation induces shifts in neural oscillations, brain complexity, and critical dynamics: novel insights from MEGAnnalisa Pascarella, Philipp Thölke, David Meunier, et al.
Arxiv|March 11, 2024
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular SimulationsRaul P Pelaez, Guillem Simeon, Raimondas Galvelis, et al.
Nature Communications|September 15, 2023
Machine learning coarse-grained potentials of protein thermodynamicsMaciej Majewski, Adrià Pérez, Philipp Thölke, et al.
Neuroimage|June 29, 2023
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced dataPhilipp Thölke, Yorguin-Jose Mantilla-Ramos, Hamza Abdelhedi, et al.
Pageof 1