Research breakthrough · curated entry
Hebb proposes his learning rule
The Organization of Behavior
- Date
- 1949
- Category
- Research breakthrough
- Organization / Model
- Donald O. Hebb
- Evidence
- 2 sources · 2 evidence families
In The Organization of Behavior Donald Hebb suggested that neurons firing together strengthen their connection, explaining learning as a change in synaptic weight. Hebbian learning became a core assumption for later neural networks, unsupervised learning and memory research.
Curator's note: Cross-checked against a scan of the original book and the Wikipedia article.
Curated sources · 2
Cite this page
This page is a curated static snapshot and can be cited directly. Preferred format GB/T 7714—2025 (electronic resource [EB/OL]); the other 5 styles open below, together with the machine-readable files.
GB/T 7714—2025 (electronic resource [EB/OL])
AI 纪年. Hebb 提出赫布学习规则，神经网络获得学习机制[EB/OL]. (1949)[2026-11-03]. https://aihist.net/e/hebb-1949.html.
APA 7 · American Psychological Association
AI 纪年. (1949). Hebb 提出赫布学习规则，神经网络获得学习机制 [Web page]. https://aihist.net/e/hebb-1949.html
MLA 9 · Modern Language Association
"Hebb 提出赫布学习规则，神经网络获得学习机制." AI 纪年, 1949, aihist.net/e/hebb-1949.html. Accessed 3 Nov. 2026.
Chicago 17 · notes-bibliography
AI 纪年. "Hebb 提出赫布学习规则，神经网络获得学习机制." Published 1949. Accessed Nov. 3, 2026. https://aihist.net/e/hebb-1949.html.
IEEE · citation-reference list
"Hebb 提出赫布学习规则，神经网络获得学习机制," AI 纪年, 1949. [Online]. Available: https://aihist.net/e/hebb-1949.html. [Accessed: 3 Nov. 2026].
ACM · author-date variant
AI 纪年. 1949. Hebb 提出赫布学习规则，神经网络获得学习机制. Retrieved November 3, 2026 from https://aihist.net/e/hebb-1949.html.
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