McCulloch and Pitts: a logical calculus for neural networks

What changed

Neural networks became analyzable as formal logical computing structures.

Scientific scope

The 1943 abstract model; not faithful biological circuitry, learning rules, later digital implementations or modern deep neural networks.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. This is the abstract 1943 two-author model. It does not establish biological fidelity, modern trainable neural networks or later digital implementations.

Contributors

• Warren S. McCulloch · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Walter Pitts · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.

• McCulloch and Pitts, A Logical Calculus of the Ideas Immanent in Nervous Activity

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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