Yipeng Li
@moonliyp.bsky.social
I do vision neuroscience research, focusing on IT cortex.
Hearing this news just as we were ready to scale up data collection.
Really mixed feelings.
Really mixed feelings.
2025 was the year we ramped up chronic Neuropixels experiments (even wrote a paper on unit tracking), and it gave me a lot of hope for the future. But I just learned that Neuropixels won’t be sold to China anymore. If you have easy access to this technology, please don’t take it for granted.
January 16, 2026 at 9:19 AM
Hearing this news just as we were ready to scale up data collection.
Really mixed feelings.
Really mixed feelings.
We may have been a bit later to this, but we’re now successfully running two probes at the same time!
January 16, 2026 at 6:57 AM
We may have been a bit later to this, but we’re now successfully running two probes at the same time!
Welcome to BaoLab posters at #SFN2025, covering object color knowledge, how word learning shapes macaque IT, the internal functional structure of face areas, and how IT represents movies!
November 14, 2025 at 2:39 AM
Welcome to BaoLab posters at #SFN2025, covering object color knowledge, how word learning shapes macaque IT, the internal functional structure of face areas, and how IT represents movies!
Reposted by Yipeng Li
Let's recap:
Everything* is everywhere**
* Except language, motor, memory, facial recognition, spatial perception, ...
** Except white matter, human brains, or anything else that is not a mouse brain
Everything* is everywhere**
* Except language, motor, memory, facial recognition, spatial perception, ...
** Except white matter, human brains, or anything else that is not a mouse brain
How do you deal with the confound of white matter damage when interpreting natural experiments?
September 6, 2025 at 10:19 PM
Let's recap:
Everything* is everywhere**
* Except language, motor, memory, facial recognition, spatial perception, ...
** Except white matter, human brains, or anything else that is not a mouse brain
Everything* is everywhere**
* Except language, motor, memory, facial recognition, spatial perception, ...
** Except white matter, human brains, or anything else that is not a mouse brain
Reposted by Yipeng Li
Two flagship papers from the International Brain Laboratory, now out in @Nature.com:
🧠 Brain-wide map of neural activity during complex behaviour: doi.org/10.1038/s41586-025-09235-0
🧠 Brain-wide representations of prior information in mouse decision-making: doi.org/10.1038/s41586-025-09226-1 +
🧠 Brain-wide map of neural activity during complex behaviour: doi.org/10.1038/s41586-025-09235-0
🧠 Brain-wide representations of prior information in mouse decision-making: doi.org/10.1038/s41586-025-09226-1 +
September 3, 2025 at 4:22 PM
Two flagship papers from the International Brain Laboratory, now out in @Nature.com:
🧠 Brain-wide map of neural activity during complex behaviour: doi.org/10.1038/s41586-025-09235-0
🧠 Brain-wide representations of prior information in mouse decision-making: doi.org/10.1038/s41586-025-09226-1 +
🧠 Brain-wide map of neural activity during complex behaviour: doi.org/10.1038/s41586-025-09235-0
🧠 Brain-wide representations of prior information in mouse decision-making: doi.org/10.1038/s41586-025-09226-1 +
A happy recording day, listening to spiking activities from two visual areas with distinct preferences (body and face).
August 25, 2025 at 3:40 PM
A happy recording day, listening to spiking activities from two visual areas with distinct preferences (body and face).
Reposted by Yipeng Li
🔵 Proud to share our new preprint 🔵
We compared humans and deep neural networks on sound localization 👂📍
Humans robustly localized OOD sounds even without primary interaural cues (ITD & ILD)
Models localized well only in-training distribution sounds, failing on OOD regime
Link & full story 🧵👇
We compared humans and deep neural networks on sound localization 👂📍
Humans robustly localized OOD sounds even without primary interaural cues (ITD & ILD)
Models localized well only in-training distribution sounds, failing on OOD regime
Link & full story 🧵👇
August 9, 2025 at 11:04 AM
🔵 Proud to share our new preprint 🔵
We compared humans and deep neural networks on sound localization 👂📍
Humans robustly localized OOD sounds even without primary interaural cues (ITD & ILD)
Models localized well only in-training distribution sounds, failing on OOD regime
Link & full story 🧵👇
We compared humans and deep neural networks on sound localization 👂📍
Humans robustly localized OOD sounds even without primary interaural cues (ITD & ILD)
Models localized well only in-training distribution sounds, failing on OOD regime
Link & full story 🧵👇
250801
To be a better husband.
To be a better husband.
August 2, 2025 at 10:02 AM
250801
To be a better husband.
To be a better husband.
Reposted by Yipeng Li
Spatial Reorganization of Object Representations in High-Level Visual Cortex Distinguishes Working Memory from Perception https://www.biorxiv.org/content/10.1101/2025.06.29.662186v1
June 30, 2025 at 2:16 AM
Spatial Reorganization of Object Representations in High-Level Visual Cortex Distinguishes Working Memory from Perception https://www.biorxiv.org/content/10.1101/2025.06.29.662186v1
Reposted by Yipeng Li
What shapes the topography of high-level visual cortex?
Excited to share a new pre-print addressing this question with connectivity-constrained interactive topographic networks, titled "Retinotopic scaffolding of high-level vision", w/ Marlene Behrmann & David Plaut.
🧵 ↓ 1/n
Excited to share a new pre-print addressing this question with connectivity-constrained interactive topographic networks, titled "Retinotopic scaffolding of high-level vision", w/ Marlene Behrmann & David Plaut.
🧵 ↓ 1/n
June 16, 2025 at 3:11 PM
What shapes the topography of high-level visual cortex?
Excited to share a new pre-print addressing this question with connectivity-constrained interactive topographic networks, titled "Retinotopic scaffolding of high-level vision", w/ Marlene Behrmann & David Plaut.
🧵 ↓ 1/n
Excited to share a new pre-print addressing this question with connectivity-constrained interactive topographic networks, titled "Retinotopic scaffolding of high-level vision", w/ Marlene Behrmann & David Plaut.
🧵 ↓ 1/n
Great tool!
Precon_all is finally citeable! I’m relieved, pleased, thrilled and all other superlatives to present to you our preprint describing the inner workings of the precon_all pipeline for semi-automated non-human cortical surface reconstruction! www.biorxiv.org/content/10.1... 1/10
June 7, 2025 at 2:12 AM
Great tool!
Getting back from @vssmtg.bsky.social with unforgettable and fruitful memories - now taking train to Beijing from HongKong, way more relaxing for someone who hates flying like me
May 24, 2025 at 9:36 AM
Getting back from @vssmtg.bsky.social with unforgettable and fruitful memories - now taking train to Beijing from HongKong, way more relaxing for someone who hates flying like me
Poster 436 this morning for Xieyi’s work on separated and integrated processing of shape and texture in IT cortex!
Just arrived at @vssmtg.bsky.social this year, with newest results from B-Lab. Looking forward to discussion with all friends!
May 20, 2025 at 12:15 PM
Poster 436 this morning for Xieyi’s work on separated and integrated processing of shape and texture in IT cortex!
Reposted by Yipeng Li
On behalf of Nicole Carr: new preprint from the Chand/Moore labs! High-resolution laminar recordings reveal structure-function relationships in monkey V1.
1/4
www.biorxiv.org/content/10.1...
1/4
www.biorxiv.org/content/10.1...
High–resolution laminar recordings reveal structure–function relationships in monkey V1
The relationship between the structural properties of diverse neuronal populations in the monkey primary visual cortex (V1) and their functional visual processing in vivo remains a critical knowledge ...
www.biorxiv.org
May 19, 2025 at 9:09 PM
On behalf of Nicole Carr: new preprint from the Chand/Moore labs! High-resolution laminar recordings reveal structure-function relationships in monkey V1.
1/4
www.biorxiv.org/content/10.1...
1/4
www.biorxiv.org/content/10.1...
Poster 451 this morning for Baoqi’s work on food representation in macaque brain!
Just arrived at @vssmtg.bsky.social this year, with newest results from B-Lab. Looking forward to discussion with all friends!
May 19, 2025 at 12:46 PM
Poster 451 this morning for Baoqi’s work on food representation in macaque brain!
Reposted by Yipeng Li
Kilosort4 detects a LOT of neurons, I recorded 15k neurons in one year 🤯 Traditionally, one would curate these detected units to see if they are well isolated single neurons. This is not feasible anymore, so today let's look at three options that are out there to automate this process! 🤖👇
March 27, 2025 at 10:38 AM
Kilosort4 detects a LOT of neurons, I recorded 15k neurons in one year 🤯 Traditionally, one would curate these detected units to see if they are well isolated single neurons. This is not feasible anymore, so today let's look at three options that are out there to automate this process! 🤖👇
Just arrived at @vssmtg.bsky.social this year, with newest results from B-Lab. Looking forward to discussion with all friends!
May 16, 2025 at 2:34 PM
Just arrived at @vssmtg.bsky.social this year, with newest results from B-Lab. Looking forward to discussion with all friends!
Hi Alex, thank you for your interest! the manuscript will be submitted in these days. If we get stuck in the review process (which can be unpredictable), we’ll share the data before formal publication. But at this time I can’t promise a specific timeline
May 13, 2025 at 9:06 AM
Hi Alex, thank you for your interest! the manuscript will be submitted in these days. If we get stuck in the review process (which can be unpredictable), we’ll share the data before formal publication. But at this time I can’t promise a specific timeline
Deeply grateful to all the generous friends for all the invaluable advice and support during the development of our recording techniques!🍺
May 11, 2025 at 1:37 PM
Deeply grateful to all the generous friends for all the invaluable advice and support during the development of our recording techniques!🍺
(6/6) We believe the triple-N dataset serves as both a valuable resource for visual neuroscience and a detailed complement to the NSD fMRI dataset. We are currently finalizing the data organization and description - please stay tuned for the release😁😁😁
May 11, 2025 at 1:37 PM
(6/6) We believe the triple-N dataset serves as both a valuable resource for visual neuroscience and a detailed complement to the NSD fMRI dataset. We are currently finalizing the data organization and description - please stay tuned for the release😁😁😁
(5/6) Our dataset enables comparative analysis of divergent neural coding preference for visual vs semantic features across species.
May 11, 2025 at 1:37 PM
(5/6) Our dataset enables comparative analysis of divergent neural coding preference for visual vs semantic features across species.
(4/6) Combined with NSD's fMRI data, this enables new studies of both homology AND differences in high-level visual cortex between macaques and humans.
May 11, 2025 at 1:36 PM
(4/6) Combined with NSD's fMRI data, this enables new studies of both homology AND differences in high-level visual cortex between macaques and humans.
(3/6) We identified three distinct unit types with unique temporal profiles - tightly linked to image preference and spatial organization patterns.
May 11, 2025 at 1:35 PM
(3/6) We identified three distinct unit types with unique temporal profiles - tightly linked to image preference and spatial organization patterns.
(2/6) Using fMRI-guided Neuropixels recordings, we targeted category-selective regions (face/body/object/scene/color), collecting >20k units across 59 sessions while macaques viewed NSD shared1000 stimuli. This provides rich single-trial population responses
May 11, 2025 at 1:34 PM
(2/6) Using fMRI-guided Neuropixels recordings, we targeted category-selective regions (face/body/object/scene/color), collecting >20k units across 59 sessions while macaques viewed NSD shared1000 stimuli. This provides rich single-trial population responses