Cogan Lab
@coganlab.bsky.social
The Cogan Lab at Duke University: Investigating speech, language, and cognition using invasive neural human electrophysiology
http://coganlab.org
http://coganlab.org
From Cogan Lab Journal Club with @zspald.bsky.social
these decomposition acronyms are getting out of hand!
these decomposition acronyms are getting out of hand!
August 26, 2025 at 8:55 PM
From Cogan Lab Journal Club with @zspald.bsky.social
these decomposition acronyms are getting out of hand!
these decomposition acronyms are getting out of hand!
We’re happy to present @zspald.bsky.social 's work on shared neural representations of speech production across individuals! We find that patient-specific data can be aligned to a shared space that preserves speech information, enabling cross-patient speech BCIs.
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
August 25, 2025 at 1:24 PM
We’re happy to present @zspald.bsky.social 's work on shared neural representations of speech production across individuals! We find that patient-specific data can be aligned to a shared space that preserves speech information, enabling cross-patient speech BCIs.
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
In addition to sequences of discrete phonemes, we show that the motor cortex also tracks the transitions between phonemes (phonotactics), suggesting that speech execution combines both discrete and continuous articulatory properties.
8/10
8/10
October 8, 2024 at 8:35 PM
In addition to sequences of discrete phonemes, we show that the motor cortex also tracks the transitions between phonemes (phonotactics), suggesting that speech execution combines both discrete and continuous articulatory properties.
8/10
8/10
During speech execution, we show evidence for motor sequencing by extracting sequential patterns of phonemes and find that sequencing only occurs in execution regions during speech production.
7/10
7/10
October 8, 2024 at 8:34 PM
During speech execution, we show evidence for motor sequencing by extracting sequential patterns of phonemes and find that sequencing only occurs in execution regions during speech production.
7/10
7/10
Using neural decoding models, we characterize the hierarchical relationship between syllables and phonemes and demonstrate that this relationship is temporally distinct in planning vs. execution.
6/10
6/10
October 8, 2024 at 8:34 PM
Using neural decoding models, we characterize the hierarchical relationship between syllables and phonemes and demonstrate that this relationship is temporally distinct in planning vs. execution.
6/10
6/10
Using high-resolution cortical recordings, we also show that this temporally distinct syllabic activation follows an anatomical spatial gradient from pars opercularis to pre/motor cortex that transitions in time from planning to articulation.
5/10
5/10
October 8, 2024 at 8:33 PM
Using high-resolution cortical recordings, we also show that this temporally distinct syllabic activation follows an anatomical spatial gradient from pars opercularis to pre/motor cortex that transitions in time from planning to articulation.
5/10
5/10
We identified distinct coding for syllable frames and found that this code first occurred during planning in the left-hemispheric pre-frontal cortex and was sustained during speech motor execution.
4/10
4/10
October 8, 2024 at 8:33 PM
We identified distinct coding for syllable frames and found that this code first occurred during planning in the left-hemispheric pre-frontal cortex and was sustained during speech motor execution.
4/10
4/10
We organized speech neural activations in the high-gamma band (HG) into distinct anatomical networks that were specific to planning and execution (articulation and monitoring). These networks were active sequentially prior to and during speech production.
3/10
3/10
October 8, 2024 at 8:32 PM
We organized speech neural activations in the high-gamma band (HG) into distinct anatomical networks that were specific to planning and execution (articulation and monitoring). These networks were active sequentially prior to and during speech production.
3/10
3/10
We performed intracranial recordings on 52 patients while they articulated pseudowords in a delayed speech repetition task. Constructed pseudowords were either monosyllabic or disyllabic and contained a fixed set of phonemes at each position within the syllable frame.
2/10
2/10
October 8, 2024 at 8:31 PM
We performed intracranial recordings on 52 patients while they articulated pseudowords in a delayed speech repetition task. Constructed pseudowords were either monosyllabic or disyllabic and contained a fixed set of phonemes at each position within the syllable frame.
2/10
2/10
Coming to Chicago for SfN? Interested in intracranial EEG and speech and cognition?
Come see the lab’s posters!
Come see the lab’s posters!
October 4, 2024 at 12:29 AM
Coming to Chicago for SfN? Interested in intracranial EEG and speech and cognition?
Come see the lab’s posters!
Come see the lab’s posters!
Coming to SfN 2023?
Check out posters from the Cogan Lab on studying speech using intracranial neural recordings!
Check out posters from the Cogan Lab on studying speech using intracranial neural recordings!
November 9, 2023 at 6:03 PM
Coming to SfN 2023?
Check out posters from the Cogan Lab on studying speech using intracranial neural recordings!
Check out posters from the Cogan Lab on studying speech using intracranial neural recordings!
µECoG revealed temporal sequencing of phonemes in speech motor cortex. A non-linear recurrent model that captured the specific spatio-temporal neural patterns resulted in better decoding performance than linear techniques.
November 6, 2023 at 7:09 PM
µECoG revealed temporal sequencing of phonemes in speech motor cortex. A non-linear recurrent model that captured the specific spatio-temporal neural patterns resulted in better decoding performance than linear techniques.
Higher spatial resolution was also required to achieve better decoding as more unique phonemes were included in the analysis.
November 6, 2023 at 7:08 PM
Higher spatial resolution was also required to achieve better decoding as more unique phonemes were included in the analysis.
We decoded spoken phonemes from micro-scale HG activations and found that µECoG achieved up to 57% accuracy in predicting spoken phonemes with total spoken duration of <2.5 minutes. This accurate decoding outperformed standard IEEG by 35%.
November 6, 2023 at 7:08 PM
We decoded spoken phonemes from micro-scale HG activations and found that µECoG achieved up to 57% accuracy in predicting spoken phonemes with total spoken duration of <2.5 minutes. This accurate decoding outperformed standard IEEG by 35%.
µECoG captured fine-scale spatio-temporal patterns in SMC. These spatio-temporal patterns revealed separation of both speech articulators and individual phonemes. This clustering was dependent on high-resolution sampling.
November 6, 2023 at 7:07 PM
µECoG captured fine-scale spatio-temporal patterns in SMC. These spatio-temporal patterns revealed separation of both speech articulators and individual phonemes. This clustering was dependent on high-resolution sampling.
Speech neural activations in the high-gamma band (HG) were spatially specific, and our high-definition recordings demonstrated spatially discriminant neural signals at < 2 mm spacing. This micro-scale neural activations achieved 48% higher SNR compared to macro-ECoG and SEEG.
November 6, 2023 at 7:07 PM
Speech neural activations in the high-gamma band (HG) were spatially specific, and our high-definition recordings demonstrated spatially discriminant neural signals at < 2 mm spacing. This micro-scale neural activations achieved 48% higher SNR compared to macro-ECoG and SEEG.
high-density ECoG arrays (4 mm). 4 patients performed a speech repetition task during their awake neurosurgery.
November 6, 2023 at 7:06 PM
high-density ECoG arrays (4 mm). 4 patients performed a speech repetition task during their awake neurosurgery.
Do you have (or about to have) a PhD and are you interested in speech and intracranial recordings (seeg, ecog, and micro-ecog)? The Cogan Lab at Duke is looking for a postdoc! International applicants are welcome. Join us!
coganlab.org/postdoc23
coganlab.org/postdoc23
October 16, 2023 at 7:15 PM
Do you have (or about to have) a PhD and are you interested in speech and intracranial recordings (seeg, ecog, and micro-ecog)? The Cogan Lab at Duke is looking for a postdoc! International applicants are welcome. Join us!
coganlab.org/postdoc23
coganlab.org/postdoc23
Some good news: our R01 has been funded! We will study the interactions between speech production and vWM using intracranial recordings. A big thank you to the whole lab and all of our collaborators.
@dukebrain.bsky.social
@dukebrain.bsky.social
September 25, 2023 at 3:12 PM
Some good news: our R01 has been funded! We will study the interactions between speech production and vWM using intracranial recordings. A big thank you to the whole lab and all of our collaborators.
@dukebrain.bsky.social
@dukebrain.bsky.social