Artem Kirsanov | Brain Criticality - Optimizing Neural Computations @ArtemKirsanov | Uploaded 1 year ago | Updated 2 hours ago
To try everything Brilliant has to offer—free—for a full 30 days, visit http://brilliant.org/ArtemKirsanov/.
The first 200 of you will get 20% off Brilliant’s annual premium subscription.
My name is Artem, I'm a computational neuroscience student and researcher. In this video we talk about the concept of critical point – how the brain might optimize information processing by hovering near a phase transition.
Patreon: patreon.com/artemkirsanov
Twitter: twitter.com/ArtemKRSV
Special thanks to Crimson Ghoul for providing English subtitles!
OUTLINE:
00:00 Introduction
01:11 - Phase transitions in nature
05:05 - The Ising Model
09:33 - Correlation length and long-range communication
13:14 - Scale-free properties and power laws
20:20 - Neuronal avalanches
25:00 - The branching model
31:05 - Optimizing information transmission
34:06 - Brilliant.org
35:41 - Recap and outro
The book: https://mitpress.mit.edu/9780262544030/the-cortex-and-the-critical-point/
REFERENCES (in no particular order):
1. Zimmern, V. Why Brain Criticality Is Clinically Relevant: A Scoping Review. Front. Neural Circuits 14, 54 (2020).
2. Beggs, J. M. The criticality hypothesis: how local cortical networks might optimize information processing. Phil. Trans. R. Soc. A. 366, 329–343 (2008).
3. Beggs, J. M. The cortex and the critical point: understanding the power of emergence. (The MIT Press, 2022).
4. Heffern, E. F. W., Huelskamp, H., Bahar, S. & Inglis, R. F. Phase transitions in biology: from bird flocks to population dynamics. Proc. R. Soc. B. 288, 20211111 (2021).
5. Beggs, J. M. & Plenz, D. Neuronal Avalanches in Neocortical Circuits. J. Neurosci. 23, 11167–11177 (2003).
6. Avramiea, A.-E., Masood, A., Mansvelder, H. D. & Linkenkaer-Hansen, K. Long-Range Amplitude Coupling Is Optimized for Brain Networks That Function at Criticality. J. Neurosci. 42, 2221–2233 (2022).
7. O’Byrne, J. & Jerbi, K. How critical is brain criticality? Trends in Neurosciences 45, 820–837 (2022).
8. Haldeman, C. & Beggs, J. M. Critical Branching Captures Activity in Living Neural Networks and Maximizes the Number of Metastable States. Phys. Rev. Lett. 94, 058101 (2005).
9. Beggs, J. M. Being critical of criticality in the brain. Frontiers in Physiology.
Derivation that only power laws are scale-free: youtu.be/m6FQqXAHNT8
CREDITS:
Icons by biorender.com
Brain 3D models were modeled with Blender software using publicly available BrainGlobe atlases (brainglobe.info/atlas-api)
Ising model zooming animations: youtu.be/MxRddFrEnPc
This video was sponsored by Brilliant
To try everything Brilliant has to offer—free—for a full 30 days, visit http://brilliant.org/ArtemKirsanov/.
The first 200 of you will get 20% off Brilliant’s annual premium subscription.
My name is Artem, I'm a computational neuroscience student and researcher. In this video we talk about the concept of critical point – how the brain might optimize information processing by hovering near a phase transition.
Patreon: patreon.com/artemkirsanov
Twitter: twitter.com/ArtemKRSV
Special thanks to Crimson Ghoul for providing English subtitles!
OUTLINE:
00:00 Introduction
01:11 - Phase transitions in nature
05:05 - The Ising Model
09:33 - Correlation length and long-range communication
13:14 - Scale-free properties and power laws
20:20 - Neuronal avalanches
25:00 - The branching model
31:05 - Optimizing information transmission
34:06 - Brilliant.org
35:41 - Recap and outro
The book: https://mitpress.mit.edu/9780262544030/the-cortex-and-the-critical-point/
REFERENCES (in no particular order):
1. Zimmern, V. Why Brain Criticality Is Clinically Relevant: A Scoping Review. Front. Neural Circuits 14, 54 (2020).
2. Beggs, J. M. The criticality hypothesis: how local cortical networks might optimize information processing. Phil. Trans. R. Soc. A. 366, 329–343 (2008).
3. Beggs, J. M. The cortex and the critical point: understanding the power of emergence. (The MIT Press, 2022).
4. Heffern, E. F. W., Huelskamp, H., Bahar, S. & Inglis, R. F. Phase transitions in biology: from bird flocks to population dynamics. Proc. R. Soc. B. 288, 20211111 (2021).
5. Beggs, J. M. & Plenz, D. Neuronal Avalanches in Neocortical Circuits. J. Neurosci. 23, 11167–11177 (2003).
6. Avramiea, A.-E., Masood, A., Mansvelder, H. D. & Linkenkaer-Hansen, K. Long-Range Amplitude Coupling Is Optimized for Brain Networks That Function at Criticality. J. Neurosci. 42, 2221–2233 (2022).
7. O’Byrne, J. & Jerbi, K. How critical is brain criticality? Trends in Neurosciences 45, 820–837 (2022).
8. Haldeman, C. & Beggs, J. M. Critical Branching Captures Activity in Living Neural Networks and Maximizes the Number of Metastable States. Phys. Rev. Lett. 94, 058101 (2005).
9. Beggs, J. M. Being critical of criticality in the brain. Frontiers in Physiology.
Derivation that only power laws are scale-free: youtu.be/m6FQqXAHNT8
CREDITS:
Icons by biorender.com
Brain 3D models were modeled with Blender software using publicly available BrainGlobe atlases (brainglobe.info/atlas-api)
Ising model zooming animations: youtu.be/MxRddFrEnPc
This video was sponsored by Brilliant
