Cogan Lab

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

[Gregory B. Cogan @Cogan_G]

Come be our colleague!!

[Cogan Lab @CoganLab]

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

[Ben Tang @bentang0]

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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[Cogan Lab @CoganLab]

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

[Cogan Lab @CoganLab]

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.

https://t.co/GdVi92McpA

1/5

[Cogan Lab @CoganLab]

4/5

[Cogan Lab @CoganLab]

@rshervin @LadNeurosurgery @GregoryHickok @Duke_Neurology @Dukeneurosurg @DukeBrain @DukeUBME @DukePsychNeuro @DukeMedSchool Nature Human Behaviour also published a Research Briefing on the work, with a short overview of the findings, check it out!

https://t.co/57X1LCDSnH

[Cogan Lab @CoganLab]

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.

https://t.co/OHCKfcAARY

1/5

[Cogan Lab @CoganLab]

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

[Cogan Lab @CoganLab]

Shared latent representations of speech production for cross-patient speech decoding
Nature Communications
https://t.co/GdVi92McpA

3/3

[Cogan Lab @CoganLab]

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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[Cogan Lab @CoganLab]

Distinct neural processes link speech planning and execution
Nature Human Behaviour
https://t.co/OHCKfcAARY

2/3

[Cogan Lab @CoganLab]

Thank you to the authors @UCBerkeley/@UTAustin for your work, and we look forward to following its progress!
cc: @shaileejain @amandalebel3 @alex_ander

[Cogan Lab @CoganLab]

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.
https://t.co/HrJxKNxU3B

[Cogan Lab @CoganLab]

❔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?