6 citations · 6 across the 6 of their papers we have counts for
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cs.LG2025
An energy-efficient spiking neural network with continuous learning for self-adaptive brain-machine interface
Zhou Biyan, Arindam Basu
The number of simultaneously recorded neurons follows an exponentially increasing trend in implantable brain-machine interfaces (iBMIs). Integrating the neural decoder in the impla…
cs.LG2025
Architectural Exploration of Hybrid Neural Decoders for Neuromorphic Implantable BMI
Vivek Mohan, Biyan Zhou, Zhou Wang +3
This work presents an efficient decoding pipeline for neuromorphic implantable brain-machine interfaces (Neu-iBMI), leveraging sparse neural event data from an event-based neural s…
cs.LG2023★ 6 cited
Combining SNNs with Filtering for Efficient Neural Decoding in Implantable Brain-Machine Interfaces
Biyan Zhou, Pao-Sheng Vincent Sun, Arindam Basu
While it is important to make implantable brain-machine interfaces (iBMI) wireless to increase patient comfort and safety, the trend of increased channel count in recent neural pro…