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Head to https://squarespace.com/artem to save 10% off your first purchase of a website or domain using code ARTEMKIRSANOV ===== My name is Artem, I'm a neuroscience PhD student at Harvard University. 🌎 Website and Social links: https://kirsanov.ai/ 📥 "Receptive Field" neuro-newsletter: https://artemkirsanov.substack.com/ ✨ Support me on Patreon to get access to Discord community: https://patreon.com/artemkirsanov ===== In this video we are exploring a fascinating paper which revealed the role of biological constraints on what patterns of neural dynamics the brain and cannot learn. A small correction: I didn't mention in this in the video, but the dimensionality-reduction process for BCI was two-stage. First, the source 90D neural activity was non-linearly projected to 10 using Factor analysis, and only after that 2D projections of this 10D space were shown as cursor positions. It doesn't change the interpretation of the result, just wanted to be more technically correct about the methods. 🕒 OUTLINE: 00:00 Introduction 01:01 Temporal sequences 02:10 The experimental challenge 04:42 Biofeedback and BCIs as a research tool 07:30 Sponsor: Squarespace 08:44 Experimental setup 11:36 Two 2D projections of neural activity 12:53 Switching BCI mapping reveals activity constraints 14:46 Conclusion 📚 FURTHER READING & REFERENCES: Link to the paper: https://www.nature.com/articles/s41593-024-01845-7 ===== Icons by Freepik and Biorender Music by Artlist ===== *Disclaimer:* This channel is my personal project. The views and content expressed here are my own and are separate from my research role at Harvard University. #neuroscience #brain #learning _Description remastered: February 2026. Links & Bio updated; original context preserved._
