Bowen Zheng

@bwz-brain.bsky.social

MIT BCS | grad part-time reductionist, full time human

The Ott-Antonsen ansatz revolutionized our understanding of coupled oscillator systems with heterogeneous oscillators. We developed a multi-ensemble method that increases the applicability of the OA ansatz to empirical data substantially arxiv.org/abs/2607.09516, as we demonstrate on neural data.

A multi-ensemble mean-field reduction method for networks of globally coupled phase oscillators with arbitrary parameter distributions

Understanding the dynamical properties of coupled phase oscillator systems with heterogeneous oscillator frequencies has been a long-standing challenge of complex systems theory. While the seminal wor...

arxiv.org

Our new paper is out in Current Biology! We learn many things in parallel, and brain circuits are constantly rewiring across brain areas. It is notoriously difficult to understand which rewiring events are responsible for which type of learning. www.sciencedirect.com/science/arti...

Local plasticity underlies the reorganization of cortical circuit dynamics during motor learning

During learning, neural circuits reorganize to encode new information and adapt behavioral responses. Ca2+/calmodulin-dependent protein kinase II (CaM…

sciencedirect.com

Where, exactly, does learning happen in the brain? Out today in @nature.com, we identify a synaptic locus of birdsong learning and show that the circuit can be tuned to make birds learn faster - but at a cost. Read on👇 #neuroskyence 🧪 #prattle 💬 #bioacoustics Shareable link: rdcu.be/fiyrS

A synaptic locus of song learning - Nature

Combining a computational framework and optogenetic and chemogenetic manipulations within and downstream of the cortico-basal ganglia circuit identifies the specific cortico-basal ganglia synapse...

nature.com

Bots have made their way to Prolific experiments. Our lab has stopped online testing of adults entirely now for this reason - we want to know if what we study is real. Probably data collected 2-3 years ago are ok, but moving forward we just can't know. www.pnas.org/doi/10.1073/...

PNAS

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

pnas.org

Beautiful - recommended! Here, @sasolla.bsky.social recaps her decades-long journey from physics to neural networks (working with LeCun & Hopfield) to motor cortex, & and from industry (including Bell Labs) to academia, all driven by curiosity and awe (which flows from her voice). Inspiring!

Gaute Einevoll@gauteeinevoll.bsky.social · 7mo ago

Episode #36 in #TheoreticalNeurosciencePodcast: On low-dimensional manifolds in motor cortex – with Sara Solla @sasolla.bsky.social theoreticalneuroscience.no/thn36 Manifold analysis has changed our thinking on how cortex works. One of the pioneers of this modelling approach explains.

Human speech is continuous, and many meaning spaces (like color) are continuous too. Yet we use discrete words like “blue” and “green” that carve these spaces into categories. In our new paper, we ask: How do people turn continuous spaces into structured, word-like systems for communication? (1/8)

Discrete and systematic communication in a continuous signal-meaning space

Abstract. Human spoken language uses a continuous stream of acoustic signals to communicate about continuous features of the world, by using discrete forms

academic.oup.com

"Spiking Networks Hate It! Find Out the One Plasticity Trick They Don’t Want You to Know! Never stabilise models by hand again." - I woke up thinking we missed an opportunity with the title of this one. :/ www.science.org/doi/10.1126/... Also: It snowed in Vienna, 10cm white fluffies! Happy Sunday!

Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks

Plasticity at inhibitory synapses maintains balanced excitatory and inhibitory synaptic inputs at cortical neurons.

science.org

This raises what I like to call the "AI test for tasks". If many people use AI to do task X, then that tells you that task X is actually just a brainless administrative exercise. Any such task should probably be eliminated, and if that's not an option, modified to make automation even easier.

Blake Richards@tyrellturing.bsky.social · 9mo ago

There was never any point to having reference letters. That's why we've all started using AI to do this nonesense task. References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.

The New York Times piece today about US science is terrible and wrong—in many ways. I could write a whole article about this, but as one example: “To close observers, the original crisis began well before any of this…” No. I’m a close observer of science, and this is incorrect.

I wrote a Comment on neurotheory, and now you can read it! Some thoughts on where neurotheory has and has not taken root within the neuroscience community, how it has shaped those subfields, and where we theorists might look next for fresh adventures. www.nature.com/articles/s41...

Theoretical neuroscience has room to grow

Nature Reviews Neuroscience - The goal of theoretical neuroscience is to uncover principles of neural computation through careful design and interpretation of mathematical models. Here, I examine...

nature.com