The Naturalistic Cognitive Computational Neuroscience Lab is launching at UT Austin and is looking for founding members at all levels, including lab manager, PhD students, and postdocs! #NeuroJobs We will study human brain🧠 and memory & attention, using fMRI and modeling. thesonglab.github.io
JeongJun Park
@jeongjunpark.bsky.social
Neuroscience PhD @WashU https://pjjeongjun.github.io/
🎊New Lab Alert! I'll be starting at the 🧡University of Texas at Austin🧡 this August! More info to come. thesonglab.github.io I send my deep gratitude to my mentors, Monica @monicarosenb.bsky.social, YC @ycleong.bsky.social, ShiNung @shinung.bsky.social & Zach @zreagh.bsky.social, for everything.
Song Lab
thesonglab.github.io
Interested in how the brain prepares for upcoming tasks? We trained a monkey on “6” different cognitive tasks and recorded prefrontal cortical activity. We examined the neural geometry and dynamics during task preparation. Come check out our poster on SUNDAY(Nov 16) from 1-5 PM!
Preprint⭐ Our attention changes over time and differs across contexts—which is reflected in the brain🧠 Fitting a dynamical systems model to fMRI data, we find that the geometry of neural dynamics along the attractor landscape reflects such changes in attention! www.biorxiv.org/content/10.1...
Geometry of neural dynamics along the cortical attractor landscape reflects changes in attention
The brain is a complex dynamical system whose activity reflects changes in internal states, such as attention. While prior work has shown that large-scale brain activity reflects attention, the mechan...
biorxiv.org
Out today in @nature.com: we show that individual neurons have diverse tuning to a decision variable computed by the entire population, revealing a unifying geometric principle for the encoding of sensory and dynamic cognitive variables. www.nature.com/articles/s41...
New ms! www.biorxiv.org/content/10.1... I developed a normative coding theory for feedback-modulated canonical networks, providing a unified view of (1) efficient & predictive coding, (2) computational & algorithmic principles, (3) unimodal & multimodal sensory processing.
Convergence of efficient and predictive coding in multimodal sensory processing
The existence of pathways connecting different sensory modalities in the brain challenges the traditional view of sensory systems as operating independently. However, the reasons and mechanisms underl...
biorxiv.org
Remember what your partner said during a heated argument? Or the rush of getting your first job offer? Why do these emotionally arousing moments stick? Across 3 studies, and 3 arousal measures, we found that emotional arousal enhances memory encoding by promoting functional integration in the 🧠 1/🧵
Emotional arousal enhances narrative memories through functional integration of large-scale brain networks https://www.biorxiv.org/content/10.1101/2025.03.13.643125v1
It is obvious we are using causal inference to understand narratives (with aha moments). But how does the brain work for this? This is a cool paper!! Congrats @hayoungsong.bsky.social
If you are curious about the brain🧠 on causal inference, insight💡, memory retrieval, and narrative comprehension🎬, this will be the one. work by dream team @jinke.bsky.social Rhea Madhogarhia @ycleong.bsky.social @monicarosenb.bsky.social ⭐
If we could record all neurons we still would not know how they communicate: medium.com/@kording/628...
Would recording all neurons reveal their interactions?
For years, I was captivated by the idea that if we could record the activity of every neuron in the brain, we’d eventually crack the code…
medium.com
Hi Bluesky! Happy to share my PhD work: Spatial information was consistently represented across tasks in a low-dimensional subspace of PFC activity, while task identity was encoded in an orthogonal subspace, providing a stable and independent representation of context. doi.org/10.1101/2025...