# Memristor
**Entity class:** Concept or analytic term
**Type:** Emerging electronic device
**Collection:** [[collections/Neurotech|Neurotech]]
**Primary source:** [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]]
## Definition
Memristor is a emerging electronic device identified in the source article's history-dependent physical storage and computation of synaptic weights layer.
## Relationships
[[wiki/Memristor|Memristor]] is related to [[wiki/Memristive Neuromorphic Computing|Memristive Neuromorphic Computing]] as history-dependent physical storage and computation of synaptic weights.
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This entry's documented connections are expressed in its definition and related-work routes, with provenance retained in the source-linked material.
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## Source route
[[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] · [[collections/Neurotech|Neurotech]]
## Related Work in the Corpus
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- In [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]], **IV.8 — Memristive and Diffusive Memristor Devices** provides the narrative context for **Memristor**: The longer-horizon trajectory of neuromorphic computing runs through emerging device technologies that promise to replace conventional silicon transistors with components whose physical behavior more closely mirrors that of…
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## Research Inferences
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These entries translate the forward-looking register in [[research/Research Inferences|Research Inferences]] into ordinary wiki prose. The tier labels apply to the inference, not automatically to every factual anchor inside it. The interpretive frame comes from [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] and [[articles/Mind Uploading and AI — The Host is Reusable and the Person is the Delta|Mind Uploading and AI — The Host is Reusable and the Person is the Delta]]. Collection route: [[collections/Neurotech|Neurotech]].
- **INF-0179 — Strongly indicated.** Analog resistive devices store a weight and perform the multiply in the same physical element, collapsing memory and arithmetic. If manufacturing variability is tamed, the energy cost of inference drops far enough that continuous whole-day neural decoding becomes a wearable-power problem.
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