Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods-Reference-Cited by-同舟云学术

Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods

Published:2020-08-10 Issue:2 Volume:36 Page:167-186
ISSN:2327-3798
Container-title:Language, Cognition and Neuroscience
language:en
Short-container-title:Language, Cognition and Neuroscience

Author:

Schilling Achim¹²,Tomasello Rosario³⁴,Henningsen-Schomers Malte R.³⁴,Zankl Alexandra¹²,Surendra Kishore¹²⁵,Haller Martin¹²,Karl Valerie⁶,Uhrig Peter⁷⁸,Maier Andreas⁵,Krauss Patrick¹²⁸⁹^ORCID

Affiliation:

1. Cognitive Computational Neuroscience Group, English Philology and Linguistics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany

2. Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany

3. Brain Language Laboratory, Department of Philosophy and Humanities, Freie Universität Berlin, Berlin, Germany

4. Cluster of Excellence “Matters of Activity. Image Space Material”, Humboldt Universität zu Berlin, Berlin, Germany

5. Machine Intelligence, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany

6. Biomagnetism Lab, Department of Neurosurgery, University Hospital Erlangen, Erlangen, Germany

7. English Philology and Linguistics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany

8. Linguistics Lab, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany

9. University Medical Center Groningen, University of Groningen, Groningen, The Netherlands

Funder

Deutsche Forschungsgemeinschaft

Interdisciplinary Center for Clinical Research (IZKF) at the University Hospital of the University Erlangen-Nuremberg

Emergent Talents Initiative (ETI) of the University Erlangen-Nuremberg

Publisher

Informa UK Limited

Subject

Cognitive Neuroscience,Linguistics and Language,Experimental and Cognitive Psychology,Language and Linguistics

Link

https://www.tandfonline.com/doi/pdf/10.1080/23273798.2020.1803375

Reference137 articles.

1. How much baseline correction do we need in ERP research? Extended GLM model can replace baseline correction while lifting its limits

2. S09. The role of oscillatory activity in attentive speech perception: An Ecog study in epilepsy patients

3. Repetition Suppression for Speech Processing in the Associative Occipital and Parietal Cortex of Congenitally Blind Adults

4. Disentangling Metaphor from Context: An ERP Study

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