Highly efficient modeling and optimization of neural fiber responses to electrical stimulation.

ABSTRACT: Peripheral neuromodulation has emerged as a powerful modality for controlling physiological functions and treating a variety of medical conditions including chronic pain and organ dysfunction. The underlying complexity of the nonlinear responses to electrical stimulation make it challenging to design precise and effective neuromodulation protocols. Computational models have thus become indispensable in advancing our understanding and control of neural responses to electrical stimulation. However, existing approaches suffer from computational bottlenecks, rendering them unsuitable for real-time applications, large-scale parameter sweeps, or sophisticated optimization. In this work, we introduce an approach for massively parallel estimation and optimization of neural fiber responses to elect

SUBMITTER: Hussain MA 

PROVIDER: S-EPMC11365978 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature