16 citations · 30 across the 5 of their papers we have counts for
5 papers
Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology
Mahsa Shoaran, Uisub Shin, MohammadAli Shaeri
Integrating smart algorithms on neural devices presents significant opportunities for various brain disorders. In this paper, we review the latest advancements in the development o…
A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC
Uisub Shin, Cong Ding, Virginia Woods +2
Growing evidence suggests that phase-locked deep brain stimulation (DBS) can effectively regulate abnormal brain connectivity in neurological and psychiatric disorders. This letter…
NeuralTree: A 256-Channel 0.227-J/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC
Uisub Shin, Cong Ding, Bingzhao Zhu +5
Closed-loop neural interfaces with on-chip machine learning can detect and suppress disease symptoms in neurological disorders or restore lost functions in paralyzed patients. Whil…
Closed-Loop Neural Prostheses with On-Chip Intelligence: A Review and A Low-Latency Machine Learning Model for Brain State Detection
Bingzhao Zhu, Uisub Shin, Mahsa Shoaran
The application of closed-loop approaches in systems neuroscience and therapeutic stimulation holds great promise for revolutionizing our understanding of the brain and for develop…
Closed-Loop Neural Interfaces with Embedded Machine Learning
Bingzhao Zhu, Uisub Shin, Mahsa Shoaran
Neural interfaces capable of multi-site electrical recording, on-site signal classification, and closed-loop therapy are critical for the diagnosis and treatment of neurological di…