Published November 15, 2021 | Version v1
Software Open

Imagined speech can be decoded from low- and cross-frequency intracranial EEG features

Creators

  • 1. Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
  • 2. Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, USA
  • 3. Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, USA; Department of Psychology, University of California, Berkeley, Berkeley, USA
  • 4. Division of Arts and Sciences, New York University Shanghai, Shanghai, China; Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai, China
  • 5. Department of Psychology, New York University, New York, NY, USA; Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany
  • 6. Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
  • 7. Institut de l'Audition, Institut Pasteur, INSERM, F-75012, Paris, France
  • 8. Division of Neurology, Geneva University Hospitals, Geneva, Switzerland; Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland

Contributors

  • 1. Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
  • 2. 11cDivision of Neurology, Geneva University Hospitals, Geneva, Switzerland; Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland

Description

Code for the article 'Imagined speech can be decoded from low- and cross-frequency intracranial EEG features'

Includes code created and used for this article.

Notes

This work was funded by EU FET-BrainCom project (ALG), NINDS R3723115 (RTK), Swiss National Science Foundation project grant 163040 (ALG), National Natural Science Foundation of China 32071099 (XT), Natural Science Foundation of Shanghai 20ZR1472100 (XT), Program of Introducing Talents of Discipline to Universities, Base B16018 (XT), NYU Shanghai Boost Fund (XT), Fondation Pour l'Audition FPA RD-2020-10 (LA), Swiss National Science Foundation career grant 167836 (PM), and Swiss National Science Foundation career grant 193542 (TP).

Files

Imagined_speech_code.zip

Files (7.4 MB)

Name Size Download all
md5:88dc6250d3623de497849e976480c0d4
7.4 MB Preview Download