# Executable Brain Model **Entity class:** Computational neuroscience model **Collections:** [[collections/Neurotech|Neurotech]] · [[collections/Consciousness Continuity|Consciousness Continuity]] ## Definition An **Executable Brain Model** is a computational system that generates predicted neural or behavioral responses from represented structure, state, inputs, and dynamics. Executability is stronger than a static map but does not establish subjective continuity. ## Relationships - It integrates evidence from [[wiki/Connectomics|connectomics]], [[wiki/Neural State Capture|Neural State Capture]], and learned dynamical models. - A [[wiki/Functional Digital Twin|Functional Digital Twin]] is tested through predictive and intervention-based correspondence with a source system. - [[wiki/causal sufficiency|Causal Sufficiency]] and [[wiki/Verification of Continuity Claims|Verification of Continuity Claims]] bound what model performance can establish. - [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] treats executable modeling as one layer of the continuity stack. <!-- 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/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]], **VI. The brain as [[wiki/Executable Brain Model|executable model]]** provides the narrative context for **Executable Brain Model**: VI. <!-- END HUMANIZED CORPUS ROUTES 2026-09-11 --> ## Simple Reminders, Quotations, and Thoughts <!-- BEGIN SIMPLE REMINDER SEED 2026-09-11 --> > "A model can integrate everything we know about the brain." > **— Henry Markram**, *Blue Brain presentations, wording candidate* *Verification Status: Unverified — exact wording/source has not yet been independently confirmed against a primary source; source clue: Blue Brain presentations, wording candidate.* [[reminders/unverified/One Model Could Integrate Everything We Know About the Brain by Henry Markram|One Model Could Integrate Everything We Know About the Brain by Henry Markram]] > “We’re going to try to start to map the brain and to simulate it, to be able to hunt down the root causes of disease and scale up our ability to comprehend the circuits in our brains that generate things like thoughts and feelings.” > **— Edward S. Boyden**, *“Meet the Labbers: Ed Boyden,” MIT Media Lab, Nov. 1, 2017* [[reminders/Simulation/Start to Map the Brain by Edward S. Boyden|Start to Map the Brain by Edward S. Boyden]] > "The brain is an immensely complicated machine." > **— Henry Markram**, *Blue Brain / Human Brain Project talks, wording candidate* *Verification Status: Unverified — exact wording/source has not yet been independently confirmed against a primary source; source clue: Blue Brain / Human Brain Project talks, wording candidate.* [[reminders/unverified/The Brain Is an Immensely Complicated Machine by Henry Markram|The Brain Is an Immensely Complicated Machine by Henry Markram]] <!-- END SIMPLE REMINDER SEED 2026-09-11 --> > "Now we are told that an exascale supercomputer will be able to solve the mysteries of the human brain." > **— Seth Lloyd**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Exascale Computing May Confront the Human Brain by Seth Lloyd|Exascale Computing May Confront the Human Brain by Seth Lloyd]] > "I think that from being a little independent thinking machine I am becoming a tiny part inside a far vaster thinking machine." > **— Susan Blackmore**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Simulation/We Are Becoming Parts of a Larger Thinking Machine by Susan Blackmore|We Are Becoming Parts of a Larger Thinking Machine by Susan Blackmore]]