# Whole-Brain Connectomics **Entity class:** Concept or analytic term **Collection:** [[collections/Neurotech|Neurotech]] **Type:** Connectomics scope 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 **Whole-brain connectomics** seeks a connectivity map spanning an entire nervous system or brain under a specified inclusion threshold. ## Relationships - [[wiki/FlyWire|FlyWire]] provides adult insect whole-brain structural coverage. - [[wiki/ZAPBench|ZAPBench]] provides whole-brain vertebrate activity while aligned reconstruction remains a separate milestone. - The [[wiki/Aedes aegypti|Aedes aegypti]] project extends the approach to a disease-vector species. - Whole-brain coverage leaves synaptic completeness, functional state, or identity sufficiency unresolved. <!-- 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 **Whole-Brain Connectomics**: In May 2025, Jefferis and Elizabeth Marin secured a Wellcome Discovery Award to produce 'A whole-brain connectome of the female Aedes aegypti mosquito,' in collaboration with Wei-Chung Allen Lee (Harvard Medical School) and Meg… - 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 **Whole-Brain Connectomics**: As David Markowitz (IARPA Program Manager) stated: 'IARPA's moonshot investment in the MICrONS program has shattered previous technological limitations, creating the first platform to study the relationship between neural… <!-- END HUMANIZED CORPUS ROUTES 2026-09-11 --> ## Research Inference Attractors <!-- BEGIN DEEP INFERENCE ATTRACTORS 2026-09-11 --> These are secondary semantic placements for the inference attractor network. Each statement keeps its original ID and tier; its canonical cluster page links back to every destination. Source register: [[research/Research Inferences|Research Inferences]]. Interpretive context: [[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-0107 — Strongly indicated.** Electron-microscopic reconstruction of human neural tissue has already been performed on retinal and cortical samples, which means the species question is settled and the remaining question is scale. Human connectomics is underway at millimeter scale today. - **Canonical cluster:** [[wiki/Connectomics|Connectomics]] - **INF-0111 — Strongly indicated.** At current electron-microscopy economics a whole mouse brain implies tens of billions of dollars; at a 100× reduction it becomes a large-instrument-scale project comparable to a telescope. That crossing converts the mouse connectome from a thought experiment into a fundable program. - **Canonical cluster:** [[wiki/Connectomics|Connectomics]] - **INF-0113 — Analytic.** Local circuits can be reconstructed from small volumes, but identity-relevant computation depends on long-range projections that cross the whole brain. A connectome that omits long-range structure describes a component, not a mind, which makes volume continuity the key acquisition property. - **Canonical cluster:** [[wiki/Connectomics|Connectomics]] - **INF-0123 — Analytic.** A human brain holds on the order of a thousand times the neurons of a mouse, so a mouse-scale success does not imply a human one without another cost reduction of similar magnitude. Naming the required factor explicitly is what turns the roadmap into an engineering schedule. - **Canonical cluster:** [[wiki/Connectomics|Connectomics]] - **INF-0124 — Unresolved.** Human connectomics depends on tissue quality achievable within realistic post-mortem intervals, and that quality ceiling has not been characterized at whole-brain scale. Resolution requires a coordinated perfusion protocol study, which is an institutional rather than technical undertaking. - **Canonical cluster:** [[wiki/Connectomics|Connectomics]] - **INF-0127 — Strongly indicated.** Benchmarking whole-brain activity prediction in larval zebrafish turns emulation from an argument into a leaderboard. Once a capability has a benchmark, it acquires a measurable improvement rate, and measurable improvement rates end debates about feasibility. - **Canonical cluster:** [[wiki/Whole-Brain Emulation|Whole-Brain Emulation]] - **INF-0141 — Analytic.** The field is climbing an explicit ladder — worm, fly, zebrafish, mouse, primate, human — and each rung is a funded program with published milestones. Reading the ladder as a schedule rather than a metaphor produces a defensible estimate of when human-scale attempts begin. - **Canonical cluster:** [[wiki/Whole-Brain Emulation|Whole-Brain Emulation]] - **INF-0143 — Plausible.** Replacing one circuit with a simulated equivalent while the rest of the brain runs biologically is the incremental path, and hippocampal prosthesis work has already done it in rudimentary form. Gradual replacement sidesteps the discontinuity problem that whole-brain transfer raises. - **Canonical cluster:** [[wiki/Whole-Brain Emulation|Whole-Brain Emulation]] - **INF-0147 — Analytic.** Roadmaps written in the 2000s specified resolution, throughput, and compute requirements that can now be checked against delivered capability. Auditing those predictions against 2026 reality is the most rigorous available method for calibrating the remaining timeline. - **Canonical cluster:** [[wiki/Whole-Brain Emulation|Whole-Brain Emulation]] <!-- END DEEP INFERENCE ATTRACTORS 2026-09-11 --> ## Simple Reminders, Quotations, and Thoughts <!-- BEGIN SIMPLE REMINDER SEED 2026-09-11 --> > "We aim at reading the first complex memory from a vertebrate brain to deepen our understanding of how neural circuits encode, store, and retrieve information at the level of synaptic connectivity." > **— Kornfeld Lab**, *institutional research mission* [[reminders/Connectomics/Reading the First Complex Memory from a Vertebrate Brain by Kornfeld Lab|Reading the First Complex Memory from a Vertebrate Brain by Kornfeld Lab]] > "The brain is an electrical device. Electricity is a common language. This is what allows us to interface the brain to electronic devices." > **— Edward S. Boyden**, *2010, MIT Engineering Q&A* [[reminders/Connectomics/The Brain Is an Electrical Device by Edward S. Boyden|The Brain Is an Electrical Device by Edward S. Boyden]] > "Your brain mediates everything that you sense, feel, think, and do." > **— MIT Synthetic Neurobiology Group**, *institutional research description associated with Ed Boyden* [[reminders/Connectomics/The Brain Mediates Everything You Sense, Feel, Think, and Do by MIT Synthetic Neurobiology Group|The Brain Mediates Everything You Sense, Feel, Think, and Do by MIT Synthetic Neurobiology Group]] > "The laws of thought depend not only on brain cells, but also on how they are connected." > **— Marvin Minsky**, *The Society of Mind (1987), excerpt candidate* *Verification Status: Unverified — exact wording/source has not yet been independently confirmed against a primary source; source clue: The Society of Mind (1987), excerpt candidate.* [[reminders/unverified/Thought Depends on Connection by Marvin Minsky|Thought Depends on Connection by Marvin Minsky]] > "We can input information into the brain." > **— Edward S. Boyden**, *2011, MIT Engineering Q&A* [[reminders/Connectomics/We Can Input Information into the Brain by Edward S. Boyden|We Can Input Information into the Brain by Edward S. Boyden]] <!-- END SIMPLE REMINDER SEED 2026-09-11 -->