A vector calculus for neural computation in the cerebellum Null space theory predicts that neurons generate spikes not only to produce behavior but also to prevent the undesirable effect of other neurons on behavior. In this work, we show that this competitiv...

Neuronal computation in the cerebellum via a vector calculus.

Work of Mohammad Amin Fakharian, Alden Shoup, Paul Hage, and Hisham Elseweifi

www.science.org/doi/10.1126/...

AND...I am setting up my new lab at UW-Madison (herzfeldlab.neuro.wisc.edu) this summer! If you are interested in linking cell types and neural circuits to computation - please reach out! (4/4)

Congrats, that’s great news! Wish you the best.

Human Thought Is Far Slower Than Your Internet Connection (Gift Article) A new study is “a bit of a counterweight to the endless hyperbole about how incredibly complex and powerful the human brain is,” one researcher said.

I wrote about a scientific paper called “The Unbearable Slowness of Being” which finds that the human brain’s throughput is just 10 bits per second. Gift link: www.nytimes.com/2024/12/26/s...
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How the brain coordinates the activity of its many muscles to achieve successful control remains an enigma. www.cell.com/issue/S0896-...

Advancing Neuromotor Interfaces by Open Sourcing Surface Electromyography (sEMG) Datasets for Pose Estimation and Surface Typing We’re releasing emg2qwerty and emg2pose—two large datasets and benchmarks for sEMG-based typing and pose estimation, as part of the NeurIPS 2024 Datasets and Benchmarks track.

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We just open-sourced two large wrist electromyography (EMG) datasets - one towards typing without a keyboard and the other for predicting hand poses - with baselines.

We believe these will help advance research into making high bandwidth non-invasive neuromotor interfaces a reality!

BCIs list! Still finding folks on here so please message me if you'd like to be added.

Uniform manifold approximation and projection Nature Reviews Methods Primers - Uniform manifold approximation and projection is a dimensionality reduction technique used to visualize and understand high-dimensional data. In this Primer, Healy...

I recently wrote a primer on UMAP for Nature Reviews Primers. If you are looking for an overview of the method, a getting started primer, or best practices it is a good place to start.

rdcu.be/d0YZT

Neuroscience for machine learners A freely available short course on neuroscience for people with a machine learning background. Designed by Dan Goodman and Marcus Ghosh.

🧠🤖 Do you have an ML background and want to learn a bit about #neuroscience? Check out our free online course!

We think neuro and ML both aim to understand intelligence, and so it's good to know a bit of both to inspire new ideas that neither field might find on their own.

neuro4ml.github.io

large-scale neural recording of 50,000 neurons, showing many diverse activity patterns, and also what the cells look like at various zooms of the maximum projection image of the recording FOV

We wrote a review on analysis methods for large-scale neural recordings www.science.org/stoken/autho... @marius10p.bsky.social #neuroscience 🧪🧠

Anything we missed? Reply w/ your fav method!