# Connectome
**Entity class:** Concept or analytic term
**Collection:** [[collections/Neurotech|Neurotech]]
**Type:** Neuroanatomical graph concept
**Primary sources:** [[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]]
## Definition
A **connectome** is a map of neural elements and their connections at a declared scale and resolution. Nodes may represent neurons or regions; edges may represent synapses, projections, or inferred connectivity.
## Relationships
- [[wiki/Structural Connectomics|Structural connectomics]] produces connectomes from anatomy.
- [[wiki/Functional Connectomics|Functional connectomics]] co-registers wiring with measured activity.
- [[wiki/FlyWire|FlyWire]], [[wiki/H01 Connectome|H01]], and [[wiki/MICrONS|MICrONS]] instantiate different species, scale, and modality choices.
- A connectome is not automatically an executable model or a sufficient record of identity.
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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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## Related Work in the Corpus
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- In [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]], **Connectomics: The Upstream Reference Infrastructure** provides the narrative context for **Connectome**: The critical epistemic shift enabling next-generation BCI decoding is that connectomics has transitioned from producing static 'maps' to generating reference address spaces—versioned, tooled, continuously improving infrastructure…
- 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 **Connectome**: The FlyWire Consortium, co-led by Mala Murthy (Director of the Princeton Neuroscience Institute and Karol and Marnie Marcin '96 Professor of Neuroscience) and Sebastian Seung (Evnin Professor in Neuroscience and Professor of…
- In [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]], **MICrONS: Function-Structure Registration at Mammalian Scale** provides the narrative context for **Connectome**: The MICrONS (Machine Intelligence from Cortical Networks) program—funded by IARPA (Intelligence Advanced Research Projects Activity) and NIH—achieved the critical mammalian-scale bridge with its April 2025 Nature collection…
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