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Untangling cross-frequency coupling in neuroscience
Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and temporal scales. Despite its potential relevance for understanding healthy and pathological brainExpand
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Transfer entropy—a model-free measure of effective connectivity for the neurosciences
TLDR
We investigate the applicability of TE as a metric in a test for effective connectivity to electrophysiological data based on simulations and magnetoencephalography. Expand
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Multiagent cooperation and competition with deep reinforcement learning
TLDR
We extend the Deep Q-Learning framework to multiagent environments to investigate the interaction between two learning agents in the well-known video game Pong. Expand
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TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy
TLDR
We present the open-source MATLAB toolbox TRENTOOL that allows the user to handle the considerable complexity of this measure and to validate the obtained results using non-parametrical statistical testing. Expand
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Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays
Multielectrode recordings have revealed zero time lag synchronization among remote cerebral cortical areas. However, the axonal conduction delays among such distant regions can amount to several tensExpand
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Transfer entropy in magnetoencephalographic data: quantifying information flow in cortical and cerebellar networks.
TLDR
We analysed MEG data from an auditory short-term memory experiment to assess whether the reconfiguration of networks implied in this task can be detected using transfer entropy. Expand
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Directed Information Measures in Neuroscience
TLDR
This book reviews recent developments of concepts and tools for measuring information transfer, their application to neurophysiological recordings and analysis of interactions. Expand
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Measuring Information-Transfer Delays
TLDR
We extend transfer entropy to account for delayed source-target interactions, while crucially retaining the conditioning on the embedded target state at the immediately previous time step. Expand
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Zero-lag long-range synchronization via dynamical relaying.
We show that isochronous synchronization between two delay-coupled oscillators can be achieved by relaying the dynamics via a third mediating element, which surprisingly lags behind the synchronizedExpand
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Transfer Entropy in Neuroscience
TLDR
Information transfer is a key component of information processing, next to information storage and modification. Expand
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