# Recurrent Neural Network
**Domain:** Machine Learning / Sequence Modeling
**Doc Type:** Technical Concept Node
**Maturity:** Foundational
## Definition
A **recurrent neural network** contains feedback connections through which prior network state can influence later computation. This gives the system a dynamic memory of sequence or context.
## Historical Context
[[wiki/Shun-Ichi Amari|Shun-Ichi Amari]] published learning in recurrent networks in 1972. Related recurrent architectures later became central to [[wiki/Associative Memory|associative memory]] and sequence modeling.
## See Also
[[wiki/Artificial Neural Networks|Artificial Neural Networks]], [[wiki/Hopfield Network|Hopfield Network]], [[wiki/Deep Learning|Deep Learning]]
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## Relationships
### Consciousness mapping and transfer graph patch — 2026-09-10
**Resolved aliases:** `recurrent neural network`
**Collections:** [[collections/Neurotech|Neurotech]] · [[collections/Consciousness Continuity|Consciousness Continuity]]
**Relationship source:** [[research/Consciousness Mapping and Transfer Ecosystem Relationship Graph - 2026-09-10|Consciousness Mapping and Transfer Ecosystem Relationship Graph — 2026-09-10]]
**Related source articles:** [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] · [[articles/The Architecture of Continuity and Emerging Neuroinformatics Standards|The Architecture of Continuity and Emerging Neuroinformatics Standards]] · [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]] · [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]]
#### Incoming typed edges
- **Edge 723 — [[wiki/cursor decoder|cursor decoder]] `architecture` → this entry** — **VERIFIED_PEER_REVIEWED**; evidence `BRAINGATE_HOME_NATURE`.
#### Epistemic boundary
Evidence status and relationship type are recorded on each typed edge.
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