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Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

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Brain-inspired multiple-target tracking using Dynamic Neural Fields.

Shiva Kamkar¹, Hamid Abrishami Moghaddam², Reza Lashgari³

¹Machine Vision and Medical Image Processing (MVMIP) Laboratory, Faculty of Electrical and Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran.

Neural Networks : the Official Journal of the International Neural Network Society

|April 11, 2022

Summary

This summary is machine-generated.

This study introduces a novel multi-object tracking algorithm inspired by human brain processing. The dynamic neural field theory approach significantly improves tracking accuracy, especially for challenging datasets.

Failed At:

2026-06-19T13:39:30.405917+00:00

Keywords:

Brain-inspired algorithms Dynamic field theory Multiple-object tracking

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