Jason Chou
jchou.bsky.social
Jason Chou
@jchou.bsky.social
MD/PhD student at the University of Pittsburgh-Carnegie Mellon University MSTP. Interested in computational neuroscience and cognition.
Reposted by Jason Chou
Excited to share that the main work of my PhD has been published!

We found that having control over pain makes expectations more precise, and changes pain perception. This is accompanied by activation changes in the PAG, SMA and ACC.

You can read the full version of the paper here: rdcu.be/eQy6X
Controllability changes pain perception by increasing the precision of expectations
Nature Communications - Control over pain changes how intense it is perceived. Here, the authors show that this effect results from increased expectation precision with control, which changes...
rdcu.be
November 22, 2025 at 1:50 PM
Reposted by Jason Chou
How do brain areas control each other? 🧠🎛️

✨In our NeurIPS 2025 Spotlight paper, we introduce a data-driven framework to answer this question using deep learning, nonlinear control, and differential geometry.🧵⬇️
November 26, 2025 at 7:32 PM
Reposted by Jason Chou
Y’all are reading this paper in the wrong way.

We love to trash dominant hypothesis, but we need to look for evidence against the manifold hypothesis elsewhere:

This elegant work doesn't show neural dynamics are high D, nor that we should stop using PCA

It’s quite the opposite!

(thread)
“Our findings challenge the conventional focus on low-dimensional coding subspaces as a sufficient framework for understanding neural computations, demonstrating that dimensions previously considered task-irrelevant and accounting for little variance can have a critical role in driving behavior.”
Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification
Most behaviors involve neural dynamics in high-dimensional activity spaces. A common approach is to extract dimensions that capture task-related variability, such as those separating stimuli or choice...
www.biorxiv.org
November 25, 2025 at 4:16 PM
Reposted by Jason Chou
“Our findings challenge the conventional focus on low-dimensional coding subspaces as a sufficient framework for understanding neural computations, demonstrating that dimensions previously considered task-irrelevant and accounting for little variance can have a critical role in driving behavior.”
Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification
Most behaviors involve neural dynamics in high-dimensional activity spaces. A common approach is to extract dimensions that capture task-related variability, such as those separating stimuli or choice...
www.biorxiv.org
November 23, 2025 at 1:38 PM
Reposted by Jason Chou
Simulation-based inference has really become a commonly used tool for parameter inference across many fields and applications. We (finally...) got together to write a tutorial introduction and guide to (hopefully) help users get started and navigate the different methods and diagnostics!
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.

📄 Paper: arxiv.org/abs/2508.12939
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
arxiv.org
November 21, 2025 at 3:34 PM
Reposted by Jason Chou
Delighted to share our new Perspective article @natrevneuro.nature.com, led by the great @edoardochidichimo.bsky.social : "Towards an informational account of interpersonal coordination". With @loopyluppi.bsky.social, Pedro Mediano, @introspection.bsky.social, Victoria Leong and Richard Bethlehem.
November 19, 2025 at 2:27 PM
Reposted by Jason Chou
I couldn't (happily) disagree more! 😊

We're living in a golden age of ever larger simultaneous recordings. Perturbation is not far behind.

Everything we could want? Nooo. Getting closer fast and getting ever better? Yeesss!

E.g.: the most fun I've had in 34 years in Neuro: bit.ly/BondyCharlto...
Brain-wide coordination of internal signals during decision-making
Neural activity is often analyzed with respect to external referents, such as the onset of a sensory stimulus or an overt motor action. Simultaneous recordings allow referencing neurons’ activity to e...
bit.ly
November 17, 2025 at 3:36 AM
Reposted by Jason Chou
Dimensionality reduction can see structures that do not exist and miss structures that exist.

𝐓𝐡𝐞 𝐬𝐢𝐦𝐩𝐥𝐞𝐬𝐭 𝐞𝐱𝐩𝐥𝐚𝐧𝐚𝐭𝐢𝐨𝐧 𝐢𝐬𝐧’𝐭 𝐚𝐥𝐰𝐚𝐲𝐬 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐨𝐧𝐞.

1/n
November 14, 2025 at 12:45 PM
Reposted by Jason Chou
Our next paper on comparing dynamical systems (with special interest to artificial and biological neural networks) is out!! Joint work with @annhuang42.bsky.social , as well as @satpreetsingh.bsky.social , @leokoz8.bsky.social , Ila Fiete, and @kanakarajanphd.bsky.social : arxiv.org/pdf/2510.25943
November 10, 2025 at 4:16 PM
Reposted by Jason Chou
Hidden Markov Models
Speaking of HMMs, really enjoyed this paper on dynamics underlying resting state and other conditions. The idea of a baseline state from which excursions lead to more integrated states is really interesting.
doi.org/10.7554/eLif...
#neuroskyence
November 9, 2025 at 3:03 PM
Reposted by Jason Chou
How do VTA DA neurons sculpt downstream representations to reinforce actions? VERY excited about our new preprint (by Alex Pan Vazquez & @czimmerman.bsky.social )
VTA dopamine neuron activity produces spatially organized value representations https://www.biorxiv.org/content/10.1101/2025.11.04.685995v1
November 7, 2025 at 8:46 PM
Reposted by Jason Chou
Ephaptic coupling - it's a thing. Your brain does it.
Reproducible Human Neural Circuits Printed with Single-Cell Precision Reveal the Functional Roles of Ephaptic Coupling
pubs.acs.org/doi/full/10....
#neuroscience
Reproducible Human Neural Circuits Printed with Single-Cell Precision Reveal the Functional Roles of Ephaptic Coupling
Although in vitro neuronal models are accessible and versatile systems for functional electrophysiological studies, the spontaneous and random formation of neural circuits often compromises the structural control and reproducibility. Here, we introduce a robust method for engineering human neuronal networks in vitro with single-cell precision and reproducibility. Our integrated platform combines direct laser-written microstructure templates and soft lithography-based fabrication of microscaffolds with functional multielectrode array recordings. This system enables high-throughput production of diverse circuit designs and allows for the exact placement of neurons within confined microenvironments. The system enables precise recording of spontaneous neuronal activity, as well as electrical and optogenetic stimulations. Using this approach, we constructed reproducible, bottom-up neuronal circuits composed of a defined number of human neurons. As a proof of principle, we employed these circuits to investigate ephaptic coupling, which refers to the modulation of neuronal activity by endogenous electric fields. Although it is believed to play a role in neural computations and cardiac conduction and is associated with epilepsy and arrhythmia, its mechanisms are unclear due to limitations in experimental models, both in vivo and in vitro. By controlling axonal proximity within microchannels and the number of neurons in the engineered circuits, we can quantify ephaptic coupling at different strengths, which validates theoretical predictions, including reduced action potential velocity, increased activity synchronization, and lower stimulation thresholds. Furthermore, the platform has broad potential for studying synaptic and nonsynaptic interactions, myelination processes, advancing disease modeling, and fundamental neuroscience research.
pubs.acs.org
October 30, 2025 at 11:49 AM
Reposted by Jason Chou
New paper in Imaging Neuroscience by Jeanette A. Mumford, Russell A. Poldrack, et al:

Unintended bias in the pursuit of collinearity solutions in fMRI analysis

doi.org/10.1162/IMAG...
October 25, 2025 at 5:29 AM
Reposted by Jason Chou
Reposted by Jason Chou
rdcu.be/eIyQB

Now published in Neuropsychopharmacology, here we mimicked the striatal neuroinflammation seen in the brains of individuals with compulsive disorders and found that this facilitated goal-directed action, whereas activating the Gi pathway in astrocytes prevented it
Dorsomedial striatal neuroinflammation causes excessive goal-directed action control by disrupting astrocyte function
Neuropsychopharmacology - Dorsomedial striatal neuroinflammation causes excessive goal-directed action control by disrupting astrocyte function
rdcu.be
September 29, 2025 at 12:38 AM
Reposted by Jason Chou
The interoceptive origin of reinforcement learning

This Review article represents a true quest for the Holy Grail: the origin of reward!

In short, reward originates deep within our bodies, in our viscera, and not in the external environment!

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

1/n
September 23, 2025 at 4:24 PM
Reposted by Jason Chou
This is one of the most outstanding examples of circuit understanding I've seen in a long time. The unification of theory and experiment is beautiful.

When Malcolm presented this in my lab, the audience was cheering at the end, and one person shouted (non-ironically) "You did it!"
🚨Our preprint is online!🚨

www.biorxiv.org/content/10.1...

How do #dopamine neurons perform the key calculations in reinforcement #learning?

Read on to find out more! 🧵
September 19, 2025 at 1:37 PM
Reposted by Jason Chou
𝗕𝗿𝗮𝗶𝗻-𝘄𝗶𝗱𝗲 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝘀
Spatially distributed and regionally unbound cellular resolution brain-wide processing loops in mice
𝗕𝗿𝗮𝗶𝗻 𝗿𝗲𝗴𝗶𝗼𝗻𝘀 𝗼𝗿 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝘁𝗵𝗿𝗲𝗮𝗱𝘀?
Dynamical processing winding through most brain regions.
Looks like a must read.
www.biorxiv.org/content/10.1...
#neuroskyence
Spatially distributed and regionally unbound cellular resolution brain-wide processing loops in mice
Until recently, it has been possible to examine activity in the brain globally through regional averaging or locally at cellular resolution. These studies characterized regions as functionally homogen...
www.biorxiv.org
September 9, 2025 at 4:17 PM
Reposted by Jason Chou
Reposted by Jason Chou
𝗕𝗿𝗮𝗶𝗻-𝗯𝗼𝗱𝘆 𝗽𝗵𝘆𝘀𝗶𝗼𝗹𝗼𝗴𝘆:
𝗟𝗼𝗰𝗮𝗹, 𝗿𝗲𝗳𝗹𝗲𝘅, 𝗮𝗻𝗱 𝗰𝗲𝗻𝘁𝗿𝗮𝗹 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Excellent review paper about reactive and anticipatory processes.
#neuroskyence
doi.org/10.1016/j.ce...
September 7, 2025 at 5:45 PM
Reposted by Jason Chou
Excited to share my latest work with @jonathanamichaels.bsky.social @diedrichsenjorn.bsky.social & @andpru.bsky.social!
We asked: How does the motor cortex account for arm posture when generating movement?
Paper 👉 www.biorxiv.org/content/10.1...
1/10
Compositional neural dynamics during reaching
The complex mechanics of the arm make the neural control of reaching inherently posture dependent. Because previous reaching studies confound reach direction with final posture, it remains unknown how...
www.biorxiv.org
September 6, 2025 at 1:12 PM
Reposted by Jason Chou
I’m sorry I can’t hang this weekend I’m still processing learning about these ants that have been cloning and giving birth to a different species of ant for millions of years to maintain their own species survival www.nature.com/articles/s41...
One mother for two species via obligate cross-species cloning in ants - Nature
In a case of obligate cross-species cloning, female ants of Messor ibericus need to clone males of Messor structor to obtain sperm for producing the worker caste, resulting in males from the same moth...
www.nature.com
September 5, 2025 at 11:10 PM
Reposted by Jason Chou
Emergence is something we should be thinking deeply about in computational neuroscience. When we say 'computation through dynamics' what we're really talking about is different types of emergent computation (probably Type 1-2 as defined here)

@seanmcarroll.bsky.social
arxiv.org/abs/2410.15468
What Emergence Can Possibly Mean
We consider emergence from the perspective of dynamics: states of a system evolving with time. We focus on the role of a decomposition of wholes into parts, and attempt to characterize relationships b...
arxiv.org
September 3, 2025 at 7:09 PM
Reposted by Jason Chou
Mice are always smarter that we expect, here guessing the trail ahead rather than just blind following. Cool work:
We watched mice follow scent trails drawn on an “endless” treadmill. By manipulating trail geometry/statistics, perturbing mouse nose & brain, and modeling behavior with a Bayesian framework, we show that mice use predictive (rather than reactive) strategies.
September 1, 2025 at 7:12 PM