Artificial Neurons
Mathematical units inspired by biological neurons that compute weighted inputs and nonlinear activations.
Core metadata
- ID: artificial_neurons
- Era: Modern
- First known date: 1948 (decade)
- Region: Global / multiple regions
- Review status: source_checked
- Maturity: established
Prerequisites
Dependents
Fields
Field lanes
- Artificial Intelligence & Machine Learning: Foundations
Node sources
- A Logical Calculus of the Ideas Immanent in Nervous Activity (Bulletin of Mathematical Biophysics, 1943, primary_paper) • Supports: node, maturity
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 2
- Average edge confidence: 68%
- Prerequisite sources: 2
- expert_inference: 2
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| Cybernetics (cybernetics) | enabling | 68% | expert_inference | Cybernetics provides a capability that enables this technology without being the only possible path. |
|
| Mathematics (mathematics) | enabling | 68% | expert_inference | Mathematics provides a capability that enables this technology without being the only possible path. |
|
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