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D-USA Verbund: Untersuchung von spontanen Sprachprozessen durch Elektrokortikographie

Amount: €392,500
Funding type: grant
Funder scheme: Individualisierte Medizin
Start date: 2017-01-01
End date: 2020-12-31
Institution: Universität Bremen
Funded outputs count: 10
Funder award ID: 01GQ1602
OpenAlex ID: G1257022345
Discrimination of Overt, Mouthed, and Imagined Speech Activity using Stereotactic EEG
2023 · P. Z. Soroush, S. Y. Cole, et al. · International IEEE/EMBS Conference on Neural Engineering · 3
The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings
2023 · Pedram Z. Soroush, Christian Herff, et al. · NeuroImage · 48
Contributions of Stereotactic EEG Electrodes in Grey and White Matter to Speech Activity Detection
2022 · P. Z. Soroush, C. Herff, et al. · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 6
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Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier
2022 · Jane E. Huggins, Dean Krusienski, et al. · Brain-Computer Interfaces · 16
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An Interpretable Deep Learning Model for Speech Activity Detection Using Electrocorticographic Signals
2022 · Morgan Stuart, Srdjan Lesaja, et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 9
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Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals
2022 · Srdjan Lesaja, Morgan Stuart, et al. · IEEE Access · 11
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Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity
2021 · Miguel Angrick, Maarten C. Ottenhoff, et al. · Communications Biology · 122
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Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices
2019 · Christian Herff, Lorenz Diener, et al. · Frontiers in Neuroscience · 118
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Speech synthesis from ECoG using densely connected 3D convolutional neural networks
2019 · Miguel Angrick, Christian Herff, et al. · Journal of Neural Engineering · 225
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Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings
2019 · Miguel Angrick, Christian Herff, et al. · Neurocomputing · 29
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