Cogan Lab at Duke University: Investigating speech, language, and cognition using invasive neural human electrophysiology

Durham NC
Cogan Lab retweeted
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📢 To everyone on the job market who has a vision for neuroscience applied to biomedical applications & technological innovation: The Duke Dept. of Biomedical Engineering announces a tenure-track faculty job search in neural engineering, broadly defined! academicjobsonline.org/ajo/j…
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Congratulations @bentang0 and @zspald11 on your fantastic preprint! An exciting start for the lab into unsupervised learning and foundation models for speech and language decoding. @Duke_Neurology @DukeBrain @DukeEngineering
A new state-of-the-art neural foundation model. Excited to announce Pretraining for Sample-Efficient Neural Interfaces, a simple pretraining method for intracranial brain-computer interfaces! (1/n)
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Can a speech BCI learn across people? In Nature Communications, led by @zspald11: High-density µECoG reveals shared neural dynamics that can be aligned to improve cross-patient speech decoding, even with little data from a new participant. doi.org/10.1038/s41467-026-7… 1/5
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5/5 Thank you to all the patients who participated in our work, our colleagues in the Viventi lab, and our neurosurgeon collaborators! @LadNeurosurgery @rshervin @dsuseendar @Duke_Neurology @Dukeneurosurg @DukeBrain @DukeUBME @DukeMedSchool
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How does a speech plan become fluent movement? In Nature Human Behaviour, led by @dsuseendar: Intracranial recordings reveal how hierarchical speech plans become continuous motor sequences across planning, articulation, and monitoring networks. doi.org/10.1038/s41562-026-0… 1/5
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A big thank you to all the patients for participating in our research, all our co-authors including the Viventi Lab, and our neurosurgical team @rshervin @LadNeurosurgery, @GregoryHickok @Duke_Neurology @Dukeneurosurg @DukeBrain @DukeUBME @DukePsychNeuro @DukeMedSchool 5/5
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Two new papers from the lab in Nature Human Behaviour and Nature Communications, spanning the neural mechanisms of speech production and new approaches to speech neurotechnology! 🧠 Speech plans → fluent motor sequences 🗣️ Speech BCIs across people Links below 👇 1/3
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❔3⃣: The decoder was trained on speech perception and successfully generalized to imagined speech, suggesting that it captures a shared semantic representation across tasks. How well would you expect this type of model to generalize to overt speech production?
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Thank you to the authors @UCBerkeley/@UTAustin for your work, and we look forward to following its progress! cc: @shaileejain @amandalebel3 @alex_ander
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