aceNDIB-Sim: A Multimodal Bidirectional PINN Model for Simulating Brain Dynamics
Constructing dynamic virtual brain models is essential for understanding brain functions and pathological mechanisms, crucial in computational neuroscience. Current modeling methods can be grouped into two paradigms: deep learning models for accurate simulation, and neural dynamics models emphasizing physiological interpretability. However, these methods entail a fundamental tradeoff between accuracy and interpretability. To address this challenge, we introduce the neurodynamics-informed brain simulator (NDIB-Si…
NDIB-Sim achieved high-fidelity long-term brain activity prediction from short-term observations with functional connectivity similarity above 0.97 and enabled subject-specific parameters that distinguish Alzheimer's patients from cognitively normal individuals.
Evidence
- Peer-reviewedIEEE Transactions on Neural Networks and Learning Systems2026-09-07
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Truvace Impact Record TRV-2026-1016, v1: “NDIB-Sim: A Multimodal Bidirectional PINN Model for Simulating Brain Dynamics.” Truvace, 2026-09-08. /record/TRV-2026-1016 (accessed at citation time). sha256 fb7c547d3264bab3…
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