Philipp Thölke
YOU?
Author Swipe
View article: Meditation induces shifts in neural oscillations, brain complexity and critical dynamics: Novel insights from MEG
Meditation induces shifts in neural oscillations, brain complexity and critical dynamics: Novel insights from MEG Open
While the beneficial impacts of meditation are increasingly acknowledged, its underlying neural mechanisms remain poorly understood. We examined the electrophysiological brain signals of expert Buddhist monks during two established meditat…
View article: Caffeine induces age-dependent increases in brain complexity and criticality during sleep
Caffeine induces age-dependent increases in brain complexity and criticality during sleep Open
Caffeine is the most widely consumed psychoactive stimulant worldwide. Yet important gaps persist in understanding its effects on the brain, especially during sleep. We analyzed sleep electroencephalography (EEG) in 40 subjects, contrastin…
View article: TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations Open
Achieving a balance between computational speed, prediction accuracy, and universal applicability in molecular simulations has been a persistent challenge. This paper presents substantial advancements in the TorchMD-Net software, a pivotal…
View article: Divergent Creativity in Humans and Large Language Models
Divergent Creativity in Humans and Large Language Models Open
The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of excitement and apprehension. However, a critical piece that has…
View article: Neuro-GPT: Towards A Foundation Model for EEG
Neuro-GPT: Towards A Foundation Model for EEG Open
To handle the scarcity and heterogeneity of electroencephalography (EEG) data for Brain-Computer Interface (BCI) tasks, and to harness the power of large publicly available data sets, we propose Neuro-GPT, a foundation model consisting of …
View article: Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data Open
Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets…
View article: Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data Open
Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets…