Cogan Lab at Duke University: Investigating speech, language, and cognition using invasive neural human electrophysiology
Durham NC
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Cogan Lab retweeted
Come be our colleague!!
📢 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…
ALT View of Duke Chapel looking up a quiet street surrounded by colorful autumn foliage
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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!
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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…
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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…
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Shared latent representations of speech production for cross-patient speech decoding
Nature Communications
doi.org/10.1038/s41467-026-7…
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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 👇
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ALT Graphic announcing two new Cogan Lab papers. The Nature Human Behaviour paper asks how the brain turns a speech plan into fluent movement, illustrated as planning → articulation → monitoring. The Nature Communications paper asks whether a speech BCI can learn from other people, illustrated by neural activity from two individuals converging on a shared latent representation.
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Last week, Areti Majumdar (2nd year PhD student) presented @jerryptang and colleague’s seminal paper on reconstructing continuous language from non-invasive brain recordings. This 🧵 explores our thoughts and questions.
nature.com/articles/s41593-0…
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Our new review paper lead by CNAP PhD Student @jimmyjam6290 and @EgnerLab is now published in Neuroscience & Biobehavioral Reviews: “Insights into the neural mechanisms supporting cognitive stability and flexibility from human intracranial EEG.”
doi.org/10.1016/j.neubiorev.…
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Last week, Nanlin Shi (postdoctoral associate @shinl_thu) presented T. Lei et al.’s new Nature paper, “Active dissociation of intracortical spiking and high gamma activity,” on whether intracortical HGA reflects local spiking or broader population activity.
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Last week, Zac Spalding (@zspald11, 4th year PhD student, @DukeEngineering) presented Aditya Singh and colleagues’ 2025 paper on multi-regional, multi-subject neural speech decoding using from SEEG electrodes.
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This 🧵 explores our thoughts (& ❔) nature.com/articles/s41467-0…
1️⃣: The employment of a data-driven approach to map frontal speech-aligned electrodes
helps probe latent variants in electrophysiological data.
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Thank you to the authors @PrincetonNeuro for your work, and we look forward to following more of it!
CC: @timbuschman, @tafazolisina
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❔1⃣ (con't): What is the elementary unit of a task? Under a programming analogy, what is/are the simplest function(s) that the brain represents and combines to create more complex functions? Conversely, what is the most complex possible task—our search for meaning?
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Last week, Jim Zhang (4th year PhD student, @DukeBrain) presented Sina Tafazoli’s paper on building compositional tasks with shared neural subspaces. This 📷 explores our thoughts (📷 & 📷) doi.org/10.1038/s41586-025-0…
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Thank you to the authors @EPFL_en @MedUni_Wien @imperialcollege for your work!
cc: @arnaudon, Mauricio Barahona, @trekkinglemon
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From Cogan Lab Journal Club with @zspald11:
these decomposition acronyms are getting out of hand!
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