Before Backprop: Neurons & the Perceptron

1943–1958: McCulloch & Pitts put neurons into equations, Rosenblatt wires the Mark I Perceptron — the decade when machines first "learned from examples".

Playlist by @backprop_paper

8 tracks, shared on Audicious.

1. Interview with Inventor of Neural Nets Warren McCulloch, neurologist who helped start it way back. — trwappers
2. The McCulloch-Pitts model — José E. Burgos
3. The Roots of AI: McCulloch-Pitts Neuron (1943) — The Times of AI
4. The First Neural Networks — Asianometry
5. Perceptrons: The First Trainable Neural Networks | Teaching Computers to Learn, Part 3 — Spanning Tree
6. Data Science #11 - The original Perceptron paper by Frank Rosenblatt (1958) — Data Science Decoded
7. Early AI: A 1960 Neural Network — Computer History Museum
8. Perceptron and the First Neuron Model: The Two Papers That Started It (Under 10 Minutes) — Researxr