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Christian Herff proslijedio/la je Tweet
Our BCI Society Meeting Workshop Summary is published! Check out here:https://www.tandfonline.com/doi/full/10.1080/2326263X.2019.1697163 …
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Jeremy Saal presenting our work on decoding navigational parameters from hippocampal sEEG at
#rtFIN2019.pic.twitter.com/WTMDM4S6SJ
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Christian Herff proslijedio/la je Tweet
Happy to report that this now published: https://elifesciences.org/articles/46015 A big thank you to our three superb reviewers for their help in improving the manuscript!https://twitter.com/sergeydoestweet/status/1079473459124551680 …
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Christian Herff proslijedio/la je Tweet
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… https://www.frontiersin.org/articles/10.3389/fnins.2019.01267?utm_source=S-TWT&utm_medium=SNET&utm_campaign=ECO_FNINS_XXXXXXXX_auto-dlvrit …
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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!
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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.pic.twitter.com/SQm18pDVni
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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.pic.twitter.com/CJTgvf8QpE
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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.pic.twitter.com/HorVv3RtI4
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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: https://www.youtube.com/watch?v=GDsb99rDDgo …pic.twitter.com/7D1eSoTec6
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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.pic.twitter.com/ZTeseh4Y51
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After much too long, our article (with
@UniBremenCSL@emilymugler@ASPENLABVCU@MattGoldrick and@SlutzkyLab ) is finally out: "Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices"https://www.frontiersin.org/articles/10.3389/fnins.2019.01267/full …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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.
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In this article, we present a VR version of the n-back task (available at https://osf.io/yhtz8/ ) and use it to investigate workload in an immersive environment with EEG.pic.twitter.com/zqbP9iOv7z
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New article out with
@ASPENLABVCU: "Estimating Cognitive Workload in an Interactive Virtual Reality Environment Using EEG"https://www.frontiersin.org/articles/10.3389/fnhum.2019.00401/full …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Had a great time speaking with
@scarschwartz about Brain-Computer Interfaces:https://www.theguardian.com/technology/2019/oct/24/mind-reading-tech-private-companies-access-brains …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
With Miguel Angrick from
@UniBremenCSL,@ASPENLABVCU and Jon Brumberg, we show our vision "Towards Restoration of Articulatory Movements: Functional Electrical Stimulation of Orofacial Muscles" https://ieeexplore.ieee.org/document/8857670 …pic.twitter.com/AWp95QDvaN
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With Margot Heijmans,
@DigNeurosurgeon and@jeroenhabets1 we investigated "Evaluation of Parkinson’s Disease at Home: Predicting Tremor from Wearable Sensors" https://ieeexplore.ieee.org/document/8857717 …pic.twitter.com/do5mGZ7gCm
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Together with
@ASPENLABVCU we investigated "EEG Movement Artifact Suppression in Interactive Virtual Reality" https://ieeexplore.ieee.org/document/8856961 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Together with
@felix_putze and@ASPENLABVCU 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" https://ieeexplore.ieee.org/document/8856386 …pic.twitter.com/CjmZVanRYm
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#EMBC2019 proceedings finally out on@IEEEXplore. We presented four papers this year:Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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