Review Proposes Neuromorphic Computing as a Unifying Framework for Brain-Computer Interfaces

Summary

A review by first author Alberto Chiolerio and senior author Andreas A. V. G. Baerentzen surveys neural recording, stimulation, and signal decoding approaches across brain-computer interfaces, neuroprosthetics, and neuromodulation systems, highlighting recent progress in neuromorphic computing and spiking neural networks. The authors introduce "Brain-Inspired Brain-Computer Interfaces" (BI-BCIs) as a unifying framework for building low-power, closed-loop, and miniaturized neurotechnology by borrowing computational principles directly from the brain.