2 papers
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
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…