Modern brain-computer interfaces and neural implants allow interaction between the tissue,
the user and the environment, where people suffer from neurodegenerative diseases or …

Arrays of floating neural sensors with a high channel count that covers an area of square
centimeters and larger would be transformative for neural engineering and brain–machine …

Intracortical brain-machine interfaces have shown promise for restoring function to people
with paralysis, but their translation to portable and implantable devices is hindered by their …

Implantable brain machine interfaces for treatment of neurological disorders require on-chip,
real-time signal processing of action potentials (spikes). In this work, we present the first …

This article presents the design and efficient hardware implementation of binarized neural
networks (BNNs) for brain-implantable neural spike sorting. In contrast to the conventional …

The application of Brain-Computer Interfaces (BCIs) in neuroscience and neurological
disorders has witnessed extensive adoption. With the shift towards implantable wireless …

We present a sub-μW Neural Spike Processor integrated with a Power Management Unit
(PMU) for on-implant processing in motor intention decoding, demonstrating:(i) among the …

This paper presents microwatt end-to-end digital signal processing (DSP) systems for
deployment-stage real-time upper-limb movement intent decoding. This brain computer …

Autonomous brain-computer interfaces (BCIs) are devices designed to record, process, and
interpret neural activity, enabling individuals with neurodegenerative diseases or spinal cord …

This paper presents microwatt end-to-end neural signal processing hardware for
deployment-stage real-time upper-limb movement intent decoding. This module features …