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My name is Artem, I'm a graduate student at NYU Center for Neural Science and researcher at Flatiron Institute.

In this video 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.
Link to the paper: https://www.nature.com/articles/s41593-024-01845-7

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
4:42 Biofeedback and BCIs as a research tool
7:30 Sponsor: Squarespace
8:44 Experimental setup
11:36 Two 2D projections of neural activity
12:53 Switching BCI mapping reveals activity constraints
14:46 Conclusion

Icons by Freepik and Biorender
Music by Artlist

Artem Kirsanov

Human brains are exceptional at learning new skills, but there are intrinsic limitations in neural circuits that can make certain patterns and behaviors impossible to master. A recent study reveals that our brain's physical wiring creates preferred pathways for neural activity, indicating fundamental constraints that neither strong motivation nor extensive practice can overcome. Understanding these limits could explain why some skills feel natural while others seem unattainable, emphasizing the biological nature of our learning capabilities.

Are There Limits What Brains Can Learn?