Artem Kirsanov | Logarithmic nature of the brain đź’ˇ @ArtemKirsanov | Uploaded 2 years ago | Updated 2 hours ago
Shortform link:
shortform.com/artem
My name is Artem, I'm a computational neuroscience student and researcher.
In this video we will talk about the fundamental role of lognormal distribution in neuroscience. First, we will derive it through Central Limit Theorem, and then explore how it support brain operations on many scales - from cells to perception.
Special thanks to Crimson Ghoul for providing English subtitles!
REFERENCES:
1.Buzsáki, G. & Mizuseki, K. The log-dynamic brain: how skewed distributions affect network operations. Nat Rev Neurosci 15, 264–278 (2014).
2.Ikegaya, Y. et al. Interpyramid Spike Transmission Stabilizes the Sparseness of Recurrent Network Activity. Cerebral Cortex 23, 293–304 (2013).
3.Loewenstein, Y., Kuras, A. & Rumpel, S. Multiplicative Dynamics Underlie the Emergence of the Log-Normal Distribution of Spine Sizes in the Neocortex In Vivo. Journal of Neuroscience 31, 9481–9488 (2011).
4.Morales-Gregorio, A., van Meegen, A. & van Albada, S. J. Ubiquitous lognormal distribution of neuron densities across mammalian cerebral cortex. http://biorxiv.org/lookup/doi/10.1101/2022.03.17.480842 (2022) doi:10.1101/2022.03.17.480842.
OUTLINE:
00:00 Introduction
01:15 What is Normal distribution
03:03 Central Limit Theorem
04:23 Normality in biology
05:46 Derivation of lognormal distribution
10:20 Division of labour in the brain
12:20 Generalizer and specialist neurons
13:37 How lognormality arises
15:19 Conclusion
16:00 Shortform: sponsor message
16:54 Outro
CREDITS:
Icons by biorender.com
Mathematical animations were created using Manim CE python library - https://www.manim.community/
Shortform link:
shortform.com/artem
My name is Artem, I'm a computational neuroscience student and researcher.
In this video we will talk about the fundamental role of lognormal distribution in neuroscience. First, we will derive it through Central Limit Theorem, and then explore how it support brain operations on many scales - from cells to perception.
Special thanks to Crimson Ghoul for providing English subtitles!
REFERENCES:
1.Buzsáki, G. & Mizuseki, K. The log-dynamic brain: how skewed distributions affect network operations. Nat Rev Neurosci 15, 264–278 (2014).
2.Ikegaya, Y. et al. Interpyramid Spike Transmission Stabilizes the Sparseness of Recurrent Network Activity. Cerebral Cortex 23, 293–304 (2013).
3.Loewenstein, Y., Kuras, A. & Rumpel, S. Multiplicative Dynamics Underlie the Emergence of the Log-Normal Distribution of Spine Sizes in the Neocortex In Vivo. Journal of Neuroscience 31, 9481–9488 (2011).
4.Morales-Gregorio, A., van Meegen, A. & van Albada, S. J. Ubiquitous lognormal distribution of neuron densities across mammalian cerebral cortex. http://biorxiv.org/lookup/doi/10.1101/2022.03.17.480842 (2022) doi:10.1101/2022.03.17.480842.
OUTLINE:
00:00 Introduction
01:15 What is Normal distribution
03:03 Central Limit Theorem
04:23 Normality in biology
05:46 Derivation of lognormal distribution
10:20 Division of labour in the brain
12:20 Generalizer and specialist neurons
13:37 How lognormality arises
15:19 Conclusion
16:00 Shortform: sponsor message
16:54 Outro
CREDITS:
Icons by biorender.com
Mathematical animations were created using Manim CE python library - https://www.manim.community/
