| name | brain-digital-twins-execution-semantics-v3 |
| description | Framework for brain digital twins centered on execution semantics, bridging computational brain models to executable systems. Unifies fragmented data pipelines, model classes, and temporal scales. Activation: brain-digital-twins, execution-semantics, neuromorphic, modeling, neuroscience, brain, neural |
From Brain Models to Executable Digital Twins: Execution Semantics
Overview
Brain digital twins providing individualized computational representations of brains as dynamical systems. Execution semantics framework unifies fragmented approaches across data pipelines, model classes, and temporal scales.
Based on: From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems (2026-04-15)
Key Insights
- Brain digital twins as individualized computational representations
- Execution semantics bridge models to executable systems
- Unifies fragmented data pipelines and model classes
- Supports prediction of clinical interventions
- Neuro-neuromorphic systems integration
Applications
- Clinical prediction
- Personalized medicine
- Neuromorphic computing
- Brain simulation
Abstract
Brain digital twins provide individualized computational representations of brains as dynamical systems. We present an execution semantics framework that bridges computational brain models to executable systems, unifying fragmented approaches across data pipelines, model classes, and temporal scales for neuro-neuromorphic systems.
Methodology
Execution Semantics Framework
- Define operational semantics for brain model execution
- Bridge computational models to executable systems
- Unify data pipelines across model classes and scales
Reference
Alexandre Muzy. From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems. arXiv:2604.13574, 2026-04-15.
URL: https://arxiv.org/abs/2604.13574
