Stop by to say hello and see some great science! #Sfn2025 #Neuroscience

Lastly (not least): Wed. Nov 19 8am-12pm: 411.11 / MM10 Sensory-motor mechanisms for verbal working memory* Postdoc @Leungbaishen will be presenting his work on sensory-motor transformations for vWM @GregoryHickok *Also presenting at APAN

Next: Mon. Nov 17 8am-12pm: 173.10 / S11 Multimodal sensory-motor transformations for speech @DukeUBME PhD Student Areti Majumdar will be presenting her work on multimodal sensory-motor transformations for speech

Then: Sun. Nov 16 1pm-5pm: 142.11 / LL17 Computational hierarchies of intrinsic neural timescales for speech perception and production Former CRS @nicoleliddlee (now at @UCSDCogSci) will be presenting her work on intrinsic timescales and speech perception/production

Next: Sun. Nov 16 1pm-5pm: 142.06 / LL12 Hierarchical Speech Encoding in Non-Primary Auditory Regions* Postdoc @shinl_thu will be presenting his work on speech encoding in non-canonical areas *Also presenting at APAN

Then: Sun. Nov 16 1pm-5pm: 142.05 / LL11 Verbal working memory is subserved by distributed network activity between temporal and frontal lobes Former Neurosurgery Resident Daniel Sexton (now at @StanfordNsurg ) will be presenting his work on network decoding of verbal WM

Next: Sun. Nov 16 1pm-5pm: 137.10 / HH2 Intracranial EEG Correlates of Concurrent Demands on Cognitive Stability and Flexibility Undergraduate Erin Burns and CNAP PhD Student @jimmyjam629 will present work from our lab and @EgnerLab on cognitive control

First up: Sun. Nov 16 1pm-5pm: 126.20 / T11 Automated speech annotation achieves manual-level accuracy for neural speech decoding @DukeUBME PhD Student @zspald11 and @DukeKunshan undergrad Ahmed Hadwan will present work on validating automated speech alignment for BCI

Coming to San Diego for SfN and/or APAN? Come check out the intracranial work from the lab (7 posters)! There's a bit of everything this year, so come say hello! #Sfn2025 #Neuroscience @DukeBrain @Duke_Neurology @Dukeneurosurg @DukeMedSchool @DukeUBME @DukePsychNeuro

Come by tomorrow morning to hear about verbal working memory!

Stop by this afternoon to see intracranial hippocampus speech decoding and to say hello!

Saturday Sept. 13 11am-12:30pm, Poster Session C C54: Baishen Liang (Postdoctoral Associate) will be presenting his work on sensory-motor mechanisms for verbal working memory. Hope to see you all there!

Friday Sept 12 4:30pm-6:00pm, Poster Session B B70: Yuchao Wang (Rotation CNAP PhD Student) will be presenting his work on auditory pseudoword decoding in the hippocampus.

Coming to DC for SNL later this week? Come check out our posters on speech decoding and verbal working memory using intracranial recordings! @SNLmtg #SNL2025

Thank you to the authors @EPFL_en @MedUni_Wien @imperialcollege for your work! cc: @arnaudon, Mauricio Barahona, @trekkinglemon

❔3️⃣: In Figs. 4 and 5, do you obtain similar results if you operate directly on the spike trains instead of on the PCA-reduced spike trains? Why is PCA necessary first?

If separate animals were treated as separate manifolds with an embedding-agnostic MARBLE, would you still expect an informative latent space to be learned without any need for post-hoc alignment?

❔2️⃣: It seems that a linear transformation between MARBLE representations of different animals was necessary because the same information is present in the latent space but not necessarily with the same ordering. (con't)

❔1️⃣: It is stated that non-neighbors (both within and across manifolds) are negative samples during the contrastive learning step. Does treating non-neighbors within and across manifolds as similarly “distant” lead to less interpretability of larger distances in latent space?

🤍3️⃣: The comparisons to state-of-the-art latent dynamical systems models are great for properly contextualizing the performance of MARBLE.