Article

Quantifying Evoked Responses through Information-Theoretical Measures

2022-11-13

Abstract excerpt

Information theory is a viable candidate to advance our understanding of how the brain processes information generated in the internal or external environment. With its universal applicability, information theory enables the analysis of complex data sets, is free of requirements about the data structure, and can help infer the underlying brain mechanisms. Information-theoretical metrics such as Entropy or Mutual I...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 17d7a796-09a6-566e-b941-48da47a27619
DOI: 10.1101/2022.11.11.516096

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Quantifying Evoked Responses through Information-Theoretical MeasuresDOI 10.1101/2022.11.11.516096Read

Proposed EEG measures of consciousness: a systematic, comparative review.Semantic proximity Read

Complexity Measures in Diverse Dynamical Regimes and Application to States of ConsciousnessSemantic proximity Read

Beyond oscillations - A novel feature space for characterizing brain statesSemantic proximity Read

Increased signal diversity/complexity of spontaneous EEG, but not evoked EEG responses, in ketamine-induced psychedelic state in humansSemantic proximity Read

Broadband synergy versus oscillatory redundancy in the visual cortexSemantic proximity Read

Delayed, Reduced and Redundant: Information Processing of Prediction Errors during Human SleepSemantic proximity Read

A fast and general method to empirically estimate the complexity of brain responses to transcranial and intracranial stimulationsSemantic proximity Read

Neural shape mediation analysisSemantic proximity Read

Interpretable metrics for evaluating fidelity, diversity, and privacy in synthetic EEG dataSemantic proximity Read

Non-linear Auto-Regressive Models for Cross-Frequency Coupling in Neural Time SeriesSemantic proximity Read

Towards an information-theoretic social neuroscienceSemantic proximity Read

Multimodal Brain Signal Complexity Predicts Human IntelligenceSemantic proximity Read