Christian Herff

@HerffC

Assistant Professor @ Maastricht University interested in machine learning for brain-computer interfaces and neuroscience.

Vrijeme pridruživanja: siječanj 2017.

Tweetovi

Blokirali ste korisnika/cu @HerffC

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @HerffC

  1. proslijedio/la je Tweet
    17. pro 2019.

    Our BCI Society Meeting Workshop Summary is published! Check out here:

    Poništi
  2. 11. pro 2019.

    Jeremy Saal presenting our work on decoding navigational parameters from hippocampal sEEG at .

    Poništi
  3. proslijedio/la je Tweet
    10. pro 2019.

    Happy to report that this now published: A big thank you to our three superb reviewers for their help in improving the manuscript!

    Prikaži ovu nit
    Poništi
  4. proslijedio/la je Tweet
    4. pro 2019.

    New Research: Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices: Neural interfaces that directly produce intelligible speech from brain activity would allow people with severe…

    Poništi
  5. 22. stu 2019.

    What I like best about this paper is that this super simple pattern matching approach is able to produce high-quality audio, while being fast enough for real-time processing at the same time. It was great fun working with everyone involved in this project. Thanks!

    Prikaži ovu nit
    Poništi
  6. 22. stu 2019.

    We also asked volunteers to perform a listening test and 66.7% of the reconstructed words could be identified correctly in a forced-choice test with 4 options.

    Prikaži ovu nit
    Poništi
  7. 22. stu 2019.

    The approach used also allows us to run the analysis with the three regions individually. Each of them performed above chance level, but M1 clearly provided most information for the decoding processes.

    Prikaži ovu nit
    Poništi
  8. 22. stu 2019.

    This simple and fast approach reconstructs very high quality audio using the patient's own voice. You can listen to a few examples in the supplementary material.

    Prikaži ovu nit
    Poništi
  9. 22. stu 2019.

    Our approach is based on Unit Selection, where the best fitting unit of speech is just concatenated to the output. We determine the best fitting unit of speech by comparing the cosine similarity of high-gamma activity. This video illustrates the approach:

    Prikaži ovu nit
    Poništi
  10. 22. stu 2019.

    In this study, we used a very simple method from the speech synthesis community to reconstruct natural, intelligible speech from intra-op ECoG in IFG, pre-motor and motor cortex.

    Prikaži ovu nit
    Poništi
  11. 22. stu 2019.

    After much too long, our article (with and ) is finally out: "Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices"

    Prikaži ovu nit
    Poništi
  12. 14. stu 2019.

    To stimulate a realistic VR scenario, our task requires quite a bit of movement, despite of which workload classification worked similar to previous studies in EEG.

    Prikaži ovu nit
    Poništi
  13. 14. stu 2019.

    In this article, we present a VR version of the n-back task (available at ) and use it to investigate workload in an immersive environment with EEG.

    Prikaži ovu nit
    Poništi
  14. 14. stu 2019.

    New article out with : "Estimating Cognitive Workload in an Interactive Virtual Reality Environment Using EEG"

    Prikaži ovu nit
    Poništi
  15. 24. lis 2019.
    Poništi
  16. 17. lis 2019.

    With Miguel Angrick from , and Jon Brumberg, we show our vision "Towards Restoration of Articulatory Movements: Functional Electrical Stimulation of Orofacial Muscles"

    Prikaži ovu nit
    Poništi
  17. 17. lis 2019.

    With Margot Heijmans, and we investigated "Evaluation of Parkinson’s Disease at Home: Predicting Tremor from Wearable Sensors"

    Prikaži ovu nit
    Poništi
  18. 17. lis 2019.

    Together with we investigated "EEG Movement Artifact Suppression in Interactive Virtual Reality"

    Prikaži ovu nit
    Poništi
  19. 17. lis 2019.

    Together with and we showed that fNIRS can be used for workload discrimination in VR: "Decoding Mental Workload in Virtual Environments: A fNIRS Study using an Immersive n-back Task"

    Prikaži ovu nit
    Poništi
  20. 17. lis 2019.

    proceedings finally out on . We presented four papers this year:

    Prikaži ovu nit
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·