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Cogan Lab @CoganLab

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

Joined July 2019
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  • Followers 878
34 Photos and videos
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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❔3️⃣: In the multi-subject REO analysis showing robustness to loss of SMC electrodes (Fig. 4b), did you investigate which non-SMC regions contributed the most in the absence of SMC electrodes? Could this be driven by auditory feedback signals when SMC electrodes are removed?
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Thank you to the authors @UTHealth @TandonLab for your work! cc: @TessyMThomas, Jinglong Li, @GregoryHickok, @xaqlab & @DrNTandon
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Last week, Baishen Liang (postdoctoral associate) led a discussion on a recent ieeg speech paper from the Chang Lab by Patrick W. Hullett and colleagues on the frontal and temporal parallel cortical speech processing pathways.
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❔1️⃣: How does the prevalence of early-response electrodes differ between the frontal lobe and the STG? ❔2️⃣: How do the phonological representation profiles of early-activating electrodes diverge across these two regions
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❔3️⃣: How does individual variability in structural connectivity account for the variance in early frontal speech representations? Thank you to the authors @UCSF, @NeurosurgUCS, and @ChangLabUcsf for your work, and we look forward to following its progress!
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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…

Building compositional tasks with shared neural subspaces

Nature - The brain can flexibly perform multiple tasks by compositionally combining task-relevant neural representations.

nature.com
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❔3⃣: Do tasks of differing complexity occupy differing capacity in working memory? Or are complex tasks abstracted away such that they occupy the same amount of working memory capacity as simple tasks?
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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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