# Loihi **Entity class:** Concept or analytic term **Type:** Neuromorphic processor **Collection:** [[collections/Neurotech|Neurotech]] **Primary source:** [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] ## Definition Loihi is a neuromorphic processor identified in the source article's Intel's programmable digital spiking architecture layer. ## Relationships [[wiki/Loihi|Loihi]] is related to [[wiki/Intel|Intel]] as Intel's programmable digital spiking architecture. <!-- BEGIN HUMANIZED RELATIONSHIPS 2026-09-11 --> This entry's documented connections are expressed in its definition and related-work routes, with provenance retained in the source-linked material. <!-- END HUMANIZED RELATIONSHIPS 2026-09-11 --> ## Source route [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] · [[collections/Neurotech|Neurotech]] ## Related Work in the Corpus <!-- BEGIN HUMANIZED CORPUS ROUTES 2026-09-11 --> - In [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]], **IV.2 — Intel Loihi and Loihi 2: Programmable Digital Spiking Silicon** provides the narrative context for **Loihi**: The most widely deployed contemporary neuromorphic research platform is Intel's Loihi family, developed by Mike Davies and colleagues at Intel Labs and now in its second generation. <!-- END HUMANIZED CORPUS ROUTES 2026-09-11 --> ## Research Inferences <!-- BEGIN RESEARCH INFERENCES 2026-09-11 --> 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-0178 — Established.** Neuromorphic chips with on-chip plasticity can adapt without a training cluster, which is the property an implanted decoder needs. Local learning eliminates the cloud round trip, and eliminating the round trip eliminates both latency and a surveillance surface. <!-- END RESEARCH INFERENCES 2026-09-11 -->