Byron Yu

We are excited to share our work on dynamical constraints on neural population activity, published as a cover article in @NatureNeuro. It was led by Emily Oby, @AlanDegenhart, @ErinnGrigsby, with @aaronbatista and team. nature.com/articles/s4159… (1/n)

@MarkChurchland @mjaz_jazlab @FieteGroup @BrunoAverbeck Thank you to @neuroamyo for a wonderful News & Views piece: nature.com/articles/s4159… (n/n)

@MarkChurchland @mjaz_jazlab @FieteGroup @BrunoAverbeck Here is the cover image (credit Avesta Rastan): (8/n)

We are excited to share our work on dynamical constraints on neural population activity, published as a cover article in @NatureNeuro. It was led by Emily Oby, @AlanDegenhart, @ErinnGrigsby, with @aaronbatista and team. nature.com/articles/s4159… (1/n)

📣 The 11th Statistical Analysis of Neuronal Data (SAND11) workshop will be held June 11-13, 2025 in New York at the @FlatironInst with generous support from @SimonsFdn! Submissions for talks+posters are due March 21. See our website for details 👇 sandworkshop.github.io

We've posted a new paper about how to speed up statistical methods for analyzing multi-area recordings by orders of magnitude: arxiv.org/abs/2412.16773 This work was led by Evren Gokcen, with Anna Jasper (Einstein), Adam Kohn (Einstein), and Christian Machens (Champalimaud).

Transformative work happens through collaboration. New research from @CMUEngineering & @PittEngineering validates principles that researchers have brought out in neural network models for decades. @YuLikeNeuro @cmu_bme engineering.cmu.edu/news-events/ne…

Using a brain–computer interface to challenge monkeys to override their natural time courses of neural activity reveals that the time courses are highly robust, suggestive of network-level computational mechanisms @aaronbatista @YuLikeNeuro @AlanDegenhart @ErinnGrigsb nature.com/articles/s4159…

I'm excited to share our #NeurIPS2024 paper with @jsoldadomagrane @SmithLabNeuro @YuLikeNeuro! We develop a new brain stimulation framework (MiSO) to drive neural population activity toward specified states. Paper: openreview.net/pdf?id=Gb0mXhn… Poster Session 4 East, Dec 12 16:30 [1/n]

We encourage you to try SNOPS here: github.com/ShenghaoWu/Spi… (n/n)

SNOPS can also identify specific combinations of activity statistics that the model cannot reproduce, thereby guiding model development. (5/n)

We are excited to share our new method, SNOPS (Spiking Network Optimization using Population Statistics), published in @NatComputSci. It was led by @Shenghao_W, with @cc_huang11, Adam Snyder, @SmithLabNeuro, and @BrentDoiron. nature.com/articles/s4358… (1/n)