Simulating a single brain cell

2025-09-27

[public] 49.6K views, 12.2K likes, dislikes audio only

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Patreon:

https://www.patreon.com/primerlearning

Helpful resources if you want to learn more about neural networks

https://www.youtube.com/@AndrejKarpathy

https://course.fast.ai/

https://www.youtube.com/@WelchLabsVideo

https://www.youtube.com/@3blue1brown

Early papers. These probably aren't helpful for understanding the concepts in this video, but if you're interested in history.

The Perceptron – A perceiving and recognizing automaton: https://bpb-us-e2.wpmucdn.com/websites.umass.edu/dist/a/27637/files/2016/03/rosenblatt-1957.pdf

The Perceptron: A probabilistic model for information storage and organization in the brain: https://www.ling.upenn.edu/courses/cogs501/Rosenblatt1958.pdf

A Logical Calculus of the Ideas Immanent In Nervous Activity: https://home.csulb.edu/~cwallis/382/readings/482/mccolloch.logical.calculus.ideas.1943.pdf#page=15.66

On the legacy of WS McCulloch: https://pubmed.ncbi.nlm.nih.gov/17184902/

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Music by Mathieu Keith. For business inquiries: mathieu.keith@proton.me

Made with Godot

Github: https://github.com/Primer-Learning/PrimerTools

0:00 Intro

1:11 A brief history and overview of artificial neurons

4:29 Training a neuron with one weight

8:00 A weight and a bias

14:28 Generalizing the update rule

17:55 Classifying mangoes by length

25:19 A thing that would not have worked

26:23 Classifying mangoes by length and mass

30:13 The exclusive OR problem

31:31 Credits and begging for money

32:26 Review