# 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.