Abstract
DeepFocus is an end-to-end simulation and optimization platform integrating physical modeling with ML-driven inverse optimization under biophysical constraints for deep brain stimulation of reward circuit nodes. The platform achieves over 100x efficiency improvement over state-of-the-art methods.
Citation
Yuxin Guo*, Mats Forssell*, Dorian Kusyk, Vishal Jain, Isaac Swink, Owen Corcoran, Yuhyun Lee, Chaitanya Goswami, Alexander C. Whiting, Boyle C. Cheng, Pulkit Grover. “DeepFocus: A Transnasal Approach for Optimized Deep Brain Stimulation of Reward Circuit Nodes”, Journal of Neural Engineering, 2025. (*equal contribution)
@article{GFK25,
author = {Yuxin Guo and Mats Forssell and Dorian Kusyk and Vishal Jain and Isaac Swink and Owen Corcoran and Yuhyun Lee and Chaitanya Goswami and Alexander C. Whiting and Boyle C. Cheng and Pulkit Grover},
year = {2025},
title = {DeepFocus: A Transnasal Approach for Optimized Deep Brain Stimulation of Reward Circuit Nodes},
journal = {Journal of Neural Engineering}}