16 citations · 55 across the 22 of their papers we have counts for
4 papers · 1 filter
An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfaces
Xiaorang Guo, MohammadAli Shaeri, Mahsa Shoaran
Spike detection plays a central role in neural data processing and brain-machine interfaces (BMIs). A challenge for future-generation implantable BMIs is to build a spike detector…
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…
Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs
MohammadAli Shaeri, Arshia Afzal, Mahsa Shoaran
Neuroscience and neurotechnology are currently being revolutionized by artificial intelligence (AI) and machine learning. AI is widely used to study and interpret neural signals (a…