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My name is Artem, I’m a computational neuroscience student and researcher. In this video we will see why individual neurons essentially function like deep convolutional neural networks, equipped with insane information processing capabilities as well as some of the physiological mechanisms, that account for such computational complexity.
Patreon: https://www.patreon.com/artemkirsanov.
Twitter: https://twitter.com/ArtemKRSV
OUTLINE:
00:00 Introduction.
01:42 — Perceptrons.
03:43 — Electrical excitability and action potential.
07:12 — Cable theory: passive dendrites.
09:03 — Active dendritic properties.
12:10 — Human neurons as XOR gates.
19:11 — Single neurons as deep neural networks.
22:32 — Brilliant.
23:57 — Recap and outro.
REFERENCES (in no particular order):
1. Bicknell, B. A., Bicknell, B. A. & Häusser, M. A synaptic learning rule for exploiting nonlinear dendritic computation. Neuron (2021) doi:10.1016/j.neuron.2021.09.044.
2. Matthew Larkum. Are dendrites conceptually useful? Neuroscience (2022) doi:10.1016/j.neuroscience.2022.03.008.
3. Polsky, A., Mel, B. W. & Schiller, J. Computational subunits in thin dendrites of pyramidal cells. Nature Neuroscience 7621–627 (2004).
4. Tran-Van-Minh, A. et al. Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in Cellular Neuroscience 9, 67–67 (2015).
5. Gidon, A. et al. Dendritic action potentials and computation in human layer 2/3 cortical neurons. Science 367, 83–87 (2020).
6. London, M. & Häusser, M. DENDRITIC COMPUTATION. Annu. Rev. Neurosci. 28503–532 (2005).
7. Branco, T., Clark, B. A. & Häusser, M. Dendritic Discrimination of Temporal Input Sequences in Cortical Neurons. Science 329, 1671–1675 (2010).
8. Stuart, G. J. & Spruston, N. Dendritic integration: 60 years of progress. Nat Neurosci 18, 1713–1721 (2015).
9. Smith, S. L., Smith, I. T., Branco, T. & Häusser, M. Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo. Nature 503115–120 (2013).
10. Beniaguev, D., Segev, I. & London, M. Single cortical neurons as deep artificial neural networks. Neuron 109, (2021).
11. Michalikova, M., Remme, M. W. H., Schmitz, D., Schreiber, S. & Kempter, R. Spikelets in pyramidal neurons: generating mechanisms, distinguishing properties, and functional implications. Reviews in the Neurosciences 31101–119 (2019).
12. Larkum, M. E., Wu, J., Duverdin, S. A. & Gidon, A. The Guide to Dendritic Spikes of the Mammalian Cortex In Vitro and In Vivo. Neuroscience 489, 15–33 (2022).
CREDITS:
We always knew they’d power the EV revolution… if we ever learned why they short circuit. Mission accomplished.
Hurricane Sandy was an extreme weather event. But a Stanford-Colorado State AI forecasts accelerated warming with a high probability of future Sandys.
An AI neural network studies historical maps and data to accurately predict a rise of 1.1 C by 2022, 1.5 by the mid-2030s, and 2.0 by 2050.
Robots are coming. And since the workers are already leaving the industry, no one will be harmed and service will be cheaper. Loving it!
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The incorporation of exotic DNA
DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).
Olaf Sporns.
September 15, 2014
Abstract: Recent years have seen a rapid expansion of empirical and theoretical studies in connectomics – the emerging science of structural and functional brain networks. In this talk I will survey some of the recent advances and a few of the challenges for connectomics research, with an emphasis on human brain connectivity. Of particular interest are studies that employ network science methods for analyzing and modeling connectivity patterns. These studies have shown the existence of highly connected hub regions that play crucial roles in brain communication and the integration of information. Future applications of brain modeling and computation for understanding brain function and dysfunction will also be discussed. Overall, the new field of connectomics offers a unique opportunity for building a theoretical understanding of the function of the human brain.
Technology in 2050
Posted in futurism
How do u think the future technology gonna look like?
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He really wants to squash the competition.
AI “is the most profound technology” the company is working on, Pichai said. He first mentioned Google’s plans to become “AI-first” several years ago.