# Neural Network Alignment **Entity class:** Technology, method, or technical system **Collection:** [[collections/Neurotech|Neurotech]] **Type:** Computational comparison method **Primary source:** [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]] ## Definition **Neural-network alignment** maps corresponding nodes, cell types, or circuit structures across two neural graphs so their organization can be compared. ## Relationships - [[wiki/Daniel Lee|Daniel Lee]] and [[wiki/Lawrence Saul|Lawrence Saul]] won the [[wiki/FlyWire Ventral Nerve Cord Matching Challenge|FlyWire VNC Matching Challenge]] for male-female alignment. - Alignment can identify correspondence without implying identical wiring, function, development, or behavior. <!-- 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 --> ## Related Work in the Corpus <!-- BEGIN HUMANIZED CORPUS ROUTES 2026-09-11 --> - In [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]], **FlyWire: Whole-Brain Completeness at Insect Scale** provides the narrative context for **Neural Network Alignment**: Tools developed include Codex (Connectome Data Explorer)—an open-access web interface enabling anyone with internet access to navigate neurons and synaptic pathways without downloading massive datasets, already used by over… <!-- 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-0149 — Strongly indicated.** Comparing artificial and biological networks on the same stimuli has become a standard method, producing a quantitative similarity measure between minds and models. A metric that scores how close a model is to a brain is also the metric that will score how close an emulation is to a person. <!-- END RESEARCH INFERENCES 2026-09-11 -->