The revolution will not be controlled: natural stimuli in speech neuroscience

この論文は 2018 年に発表され、Litlas には被引用 358 件が記録されています。

Humans have a unique ability to produce and consume rich, complex, and varied language in order to communicate ideas to one another. Still, outside of natural reading, the most common methods for studying how our brains process speech or understand language use only isolated words or simple sentences. Recent studies have upset this status quo by employing complex natural stimuli and measuring how the brain responds to language as it is used. In this article we argue that natural stimuli offer many advantages over simplified, controlled stimuli for studying how language is processed by the brain. Furthermore, the downsides of using natural language stimuli can be mitigated using modern statistical and computational techniques.

Sensory–motortransformations for…Sensory–motor transformations for speech occur bilaterallyLow-Frequency CorticalEntrainment to Speech…Low-Frequency Cortical Entrainment to Speech Reflects Phoneme-Level ProcessingThe MultivariateTemporal Response…The Multivariate Temporal Response Function (mTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous StimuliNatural speech revealsthe semantic maps that…Natural speech reveals the semantic maps that tile human cerebral cortexEye Can Hear ClearlyNow: Inverse…Eye Can Hear Clearly Now: Inverse Effectiveness in Natural Audiovisual Speech Processing Relies on Long-Term Crossmodal Temporal IntegrationRapid tuning shifts inhuman auditory cortex…Rapid tuning shifts in human auditory cortex enhance speech intelligibilityThe HierarchicalCortical Organization o…The Hierarchical Cortical Organization of Human Speech ProcessingCausal cortical dynamicsof a predictive…Causal cortical dynamics of a predictive enhancement of speech intelligibilityEncoding and DecodingModels in Cognitive…Encoding and Decoding Models in Cognitive ElectrophysiologyElectrophysiologicalCorrelates of Semantic…Electrophysiological Correlates of Semantic Dissimilarity Reflect the Comprehension of Natural, Narrative SpeechCortical Measures ofPhoneme-Level Speech…Cortical Measures of Phoneme-Level Speech Encoding Correlate with the Perceived Clarity of Natural SpeechA Spatial Map of Onsetand Sustained Responses…A Spatial Map of Onset and Sustained Responses to Speech in the Human Superior Temporal GyrusSimple Acoustic FeaturesCan Explain…Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to SpeechGeneralizable EEGEncoding Models with…Generalizable EEG Encoding Models with Naturalistic Audiovisual StimuliLinear Modeling ofNeurophysiological…Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied ResearchParallel and distributedencoding of speech…Parallel and distributed encoding of speech across human auditory cortexNeurophysiologicalIndices of Audiovisual…Neurophysiological Indices of Audiovisual Speech Processing Reveal a Hierarchy of Multisensory Integration EffectsEelbrain, a Pythontoolkit for…Eelbrain, a Python toolkit for time-continuous analysis with temporal response functionsNeural tracking as adiagnostic tool to…Neural tracking as a diagnostic tool to assess the auditory pathwayShared functionalspecialization in…Shared functional specialization in transformer-based language models and the human brainSemantic Representationsduring Language…Semantic Representations during Language Comprehension Are Affected by ContextComputational LanguageModeling and the Promis…Computational Language Modeling and the Promise of In Silico ExperimentationSpeaker-inducedSuppression in EEG…Speaker-induced Suppression in EEG during a Naturalistic Reading and Listening TaskA comparison of EEGencoding models using…A comparison of EEG encoding models using audiovisual stimuli and their unimodal counterpartsThe revolution will notbe controlled: natural…The revolution will not be controlled: natural stimuli in speech neuroscience過去の参考文献中心の論文この論文を引用する論文古い新しい

ノードをクリックするとフォーカスを固定、空白をクリックすると本論文に戻ります。ホバーで一時的にプレビューできます。各ノードのページはタイトルから開けます。