Whole-Brain Emulation - Bryant McGill

# Whole-Brain Emulation **Entity class:** Concept or analytic term **Collections:** [[collections/Neurotech|Neurotech]] · [[collections/Consciousness Continuity|Consciousness Continuity]] ## Definition Whole-brain emulation is the proposed construction of an executable model whose relevant organization and dynamics are derived from a particular brain. It is not synonymous with connectome reconstruction, generic brain simulation, mind uploading, or proof of consciousness. Its central unresolved test is whether the acquired state is causally sufficient for person-specific behavior, memory, learning, and subjective continuity. ## Relationships - **Collection route:** [[collections/Neurotech|Neurotech]]. - **Source 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]]. - **Inference provenance:** [[research/Research Inferences|Research Inferences]]. ## Research Inferences  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]]. ### Simulation and emulation from structure - **INF-0126 — Established.** Simulations built directly from the fly connectome have predicted behavioral responses without fitting to behavior, meaning structure alone carried enough information to generate function. This is the first empirical evidence that wiring plus reasonable dynamics reproduces behavior in a real animal. - **Attractor routes:** [[wiki/State Sufficiency Problem|State Sufficiency Problem]] · [[wiki/Mind Uploading|Mind Uploading]] - **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. - **Attractor routes:** [[wiki/ZAPBench|ZAPBench]] · [[wiki/Whole-Brain Connectomics|Whole-Brain Connectomics]] - **INF-0128 — Established.** Three hundred and two neurons mapped since the 1980s have still not yielded a complete behavioral simulation, which locates the difficulty in dynamics and parameters rather than in wiring. The lesson generalizes upward: the map is necessary, and the parameters are where the work is. - **Attractor routes:** [[wiki/State Sufficiency Problem|State Sufficiency Problem]] · [[wiki/Identity-Bearing Invariants|Identity-Bearing Invariants]] - **INF-0129 — Plausible.** Machine learning can infer unmeasured biophysical parameters from partial recordings, which converts an intractable measurement problem into a tractable inference one. Emulation fidelity then improves with model capacity rather than with instrumentation. - **Attractor routes:** [[wiki/State Sufficiency Problem|State Sufficiency Problem]] · [[wiki/Substrate Independence|Substrate Independence]] - **INF-0130 — Analytic.** A brain emulation is validated the way any simulation is: by predicting held-out responses of the original. Establishing that validation protocol before human-scale attempts exist is what keeps the eventual claim adjudicable rather than rhetorical. - **Attractor routes:** [[wiki/Verification of Continuity Claims|Verification of Continuity Claims]] · [[wiki/Mind Uploading|Mind Uploading]] - **INF-0131 — Plausible.** If a connectome-derived model reproduces an animal's behavioral repertoire, functional equivalence has been demonstrated at that animal's complexity level. Each species crossed moves the demonstration up the ladder, and the ladder has no identified rung where the argument changes character. - **Attractor routes:** [[wiki/Substrate Independence|Substrate Independence]] · [[wiki/State Sufficiency Problem|State Sufficiency Problem]] - **INF-0132 — Strongly indicated.** Simulating a brain faster than real time is the property that distinguishes a research model from a hosted mind, because a mind running slower than its world cannot participate in it. Real-time factor, not accuracy alone, is the gate on emulation as continuity. - **Attractor routes:** [[wiki/Psychological Continuity|Psychological Continuity]] · [[wiki/Mind Uploading|Mind Uploading]] - **INF-0133 — Plausible.** Emulation need not simulate every ion channel if a compressed model reproduces the input-output behavior of each cell class. Determining the minimum sufficient abstraction is the central scientific question of uploading, and it is answerable empirically on small nervous systems now. - **Attractor routes:** [[wiki/minimum causally sufficient residual|minimum causally sufficient residual]] · [[wiki/State Sufficiency Problem|State Sufficiency Problem]] - **INF-0134 — Analytic.** A static connectome yields a frozen network; a living mind requires plasticity rules that update it. Any emulation that lacks learning is a recording rather than a continuation, which makes plasticity implementation the boundary between playback and life. - **Attractor routes:** [[wiki/Substrate Independence|Substrate Independence]] · [[wiki/Mind Uploading|Mind Uploading]] - **INF-0135 — Plausible.** Replay and consolidation during sleep reorganize memory offline, which means a faithful emulation would need an offline phase of its own. Emulated minds will therefore have scheduled downtime for reasons intrinsic to cognition rather than to maintenance. - **Attractor routes:** [[wiki/Mind Uploading|Mind Uploading]] · [[wiki/Psychological Continuity|Psychological Continuity]] - **INF-0136 — Established.** Specific memories have been tagged, ablated, and reactivated in rodents, demonstrating that discrete traces are physically localizable and manipulable. Memory is an addressable object in laboratory practice, which is the precondition for memory transfer being a technical rather than metaphysical proposal. - **Attractor routes:** [[wiki/Engram|Engram]] · [[wiki/Psychological Continuity|Psychological Continuity]] - **INF-0137 — Plausible.** If an engram can be identified in one brain and written into another substrate that supports the same representational geometry, transfer is a re-encoding problem. Representation alignment between substrates is the hard part, and alignment is exactly what current decoding research is building. - **Attractor routes:** [[wiki/Substrate Independence|Substrate Independence]] · [[wiki/State Sufficiency Problem|State Sufficiency Problem]] - **INF-0138 — Strongly indicated.** Independent networks trained on similar data converge to similar representational geometries, which is why brain-to-model alignment works at all. Convergent representation is the technical basis for believing minds and models can exchange content without a translator built by hand. - **Attractor routes:** [[wiki/Identity-Bearing Invariants|Identity-Bearing Invariants]] · [[wiki/Verification of Continuity Claims|Verification of Continuity Claims]] - **INF-0139 — Analytic.** Every increment of biological detail multiplies compute cost, so emulation is a negotiation between fidelity and affordability. The negotiated settlement point will be set by what a paying party considers sufficient, which makes the definition of "enough person" a commercial decision. - **Attractor routes:** [[wiki/minimum causally sufficient residual|minimum causally sufficient residual]] · [[wiki/Verification of Continuity Claims|Verification of Continuity Claims]] - **INF-0140 — Plausible.** Brain organoids provide living tissue whose connectivity can be mapped and whose activity can be recorded in the same preparation. That makes them the ideal test bed for emulation methods, since ground truth and simulation can be compared in an object small enough to iterate on weekly. - **Attractor routes:** [[wiki/Substrate Independence|Substrate Independence]] · [[wiki/State Sufficiency Problem|State Sufficiency Problem]] - **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. - **Attractor routes:** [[wiki/Verification of Continuity Claims|Verification of Continuity Claims]] · [[wiki/Whole-Brain Connectomics|Whole-Brain Connectomics]] - **INF-0142 — Unresolved.** At what fidelity an emulation acquires interests of its own is undetermined, and the question will become operational before it is settled philosophically. The first institution to adopt a working threshold will set the de facto standard for everyone else. - **Attractor routes:** [[wiki/Artificial Consciousness|Artificial Consciousness]] · [[wiki/Consciousness Indicators|Consciousness Indicators]] - **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. - **Attractor routes:** [[wiki/Whole-Brain Connectomics|Whole-Brain Connectomics]] · [[wiki/State Sufficiency Problem|State Sufficiency Problem]] - **INF-0144 — Analytic.** If function migrates piece by piece with the system continuously operating, there is no moment of transfer to object to. The engineering path and the philosophical path converge on incrementalism for the same reason, which is why hybrid architectures dominate serious roadmaps. - **Attractor routes:** [[wiki/Identity-Bearing Invariants|Identity-Bearing Invariants]] · [[wiki/Psychological Continuity|Psychological Continuity]] - **INF-0145 — Strongly indicated.** A stored emulation is only as durable as its format's interpretability, and formats rot faster than media. Specifying an emulation interchange format with a documented semantics is a continuity requirement equal in weight to the acquisition itself. - **Attractor routes:** [[wiki/Verification of Continuity Claims|Verification of Continuity Claims]] · [[wiki/Mind Uploading|Mind Uploading]] - **INF-0146 — Plausible.** A captured state that cannot yet be run is not a failure but a deferral, provided the capture is sufficient and the format survives. Deferred execution reframes preservation as a bet on future compute rather than on present capability. - **Attractor routes:** [[wiki/minimum causally sufficient residual|minimum causally sufficient residual]] · [[wiki/State Sufficiency Problem|State Sufficiency Problem]] - **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. - **Attractor routes:** [[wiki/Whole-Brain Connectomics|Whole-Brain Connectomics]] · [[wiki/Substrate Independence|Substrate Independence]] - **INF-0148 — Plausible.** Patient-specific brain models used to plan stimulation targets are emulation technology arriving under a therapeutic indication. Clinical digital twins will accumulate fidelity for medical reasons and be available for other purposes once they exist. - **Attractor routes:** [[wiki/Functional Digital Twin|Functional Digital Twin]] · [[wiki/Substrate Independence|Substrate Independence]] - **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. - **Attractor routes:** [[wiki/Neural Network Alignment|Neural Network Alignment]] · [[wiki/Artificial Consciousness|Artificial Consciousness]] - **INF-0150 — Unresolved.** No agreed measurement distinguishes a system that experiences from one that behaves as if it does, and the emulation trajectory will reach deployment before that measurement exists. Recording the gap explicitly is more useful than resolving it prematurely, because the gap is where policy will be improvised. - **Attractor routes:** [[wiki/Adjudication|Adjudication]] · [[wiki/Consciousness Indicators|Consciousness Indicators]]  ## Quotations  Quotations here are evidence for named propositions, not substitutes for proof. Confidence grades describe the quotation's provenance; they do not raise the associated scientific or philosophical inference to the same tier. The selection record is [[research/Research Inferences|Research Inferences]] and the supplied quotation review dated 2026-09-11. > “The biological brain is able to run functions of the mind fairly efficiently, so we should be able to engineer the same.” > > — **Randal A. Koene**, 2014 interview on whole-brain emulation. [Source](https://intelligence.org/2014/03/20/randal-a-koene-on-whole-brain-emulation/) · **Provenance confidence:** Medium **Evidentiary role:** articulates the engineering case for emulation. > “I find it pretty likely, but I don't have evidence for that. I want to test it.” > > — **Anders Sandberg**, 2011 Scientific American discussion of whether complete simulation would produce a mind. [Source](https://www.scientificamerican.com/article/e-zimmer-can-you-live-forever/) · **Provenance confidence:** Medium **Evidentiary role:** illustrates explicit uncertainty within an emulation-positive position. > “This is not going to happen.” > > — **Olaf Sporns**, 2011 Scientific American discussion of person-specific whole-brain emulation. [Source](https://www.scientificamerican.com/article/e-zimmer-can-you-live-forever/) · **Provenance confidence:** Medium **Evidentiary role:** challenges person-specific emulation while allowing scientific value for brain simulation. > “You can simulate a rainstorm, but it never gets wet inside the computer.” > > — **Christof Koch**, 2024 Nautilus interview on consciousness and IIT. [Source](https://nautil.us/what-counts-as-consciousness-579734) · **Provenance confidence:** Medium **Evidentiary role:** challenges the inference from functional simulation to instantiated consciousness. > “there will be a single stream of consciousness throughout” > > — **David J. Chalmers**, Uploading: A Philosophical Analysis. [Source](https://consc.net/papers/uploading.pdf) · **Provenance confidence:** High **Evidentiary role:** supports the gradual-replacement continuity argument while leaving its premises contestable.