Yipeng Li

Excited to share our new findings: distinct neural dynamics in prefrontal and premotor cortex during flexible decision making, preprinted on biorxiv.

www.biorxiv.org/content/10.6...

Back in my hometown village for the New Year, sending warm wishes to all my friends far and wide! 🧧🌙

Just did the final electrode cleaning of the Snake year and started my vacation — see you in the Year of the Horse! 🐍⚡️🐴

Hearing this news just as we were ready to scale up data collection.
Really mixed feelings.

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!

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

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 +

YES!

A happy recording day, listening to spiking activities from two visual areas with distinct preferences (body and face).

🔵 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 🧵👇

250801
To be a better husband.

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

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

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

Poster 436 this morning for Xieyi’s work on separated and integrated processing of shape and texture in IT cortex!

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 ...

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...

Poster 451 this morning for Baoqi’s work on food representation in macaque brain!

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!

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!🍺

(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.

(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.

(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

(1/6) Thrilled to share our triple-N dataset (Non-human Primate Neural Responses to Natural Scenes)! It captures thousands of high-level visual neuron responses in macaques to natural scenes using #Neuropixels.

Firing rates in visual cortex show representational drift, while temporal spike sequences remain stable Neural firing-rate responses to sensory stimuli show progressive changes both within and across sessions, raising the question of how the brain mainta…

Firing rates in visual cortex show representational drift, while temporal spike sequences remain stable

www.sciencedirect.com/science/arti...

Great work by Boris Sotomayor and with @battaglialab.bsky.social