Background The progress in microtechnology has enabled an exponential trend in the
number of neurons that can be simultaneously recorded. The data bandwidth requirement is …

Neuroscientists seek efficient solutions for deciphering the sophisticated unknowns of the
brain. Effective development of complicated brain-related tools is the focal point of research …

Next-generation brain machine interfaces demand a high-channel-count neural recording
system to wirelessly monitor activities of thousands of neurons. A hardware efficient neural …

Objective. Translational efforts on spike-signal-based implantable brain-machine interfaces
(BMIs) are increasingly aiming to minimise bandwidth while maintaining decoding …

Objective. Various on-workstation neural-spike-based brain machine interface (BMI)
systems have reached the point of in-human trials, but on-node and on-implant BMI systems …

This paper provides a comprehensive overview of the recent advances in the field of
wireless contactless sensing circuits and systems for healthcare and biomedical …

Recent translational efforts in brain-machine interfaces (BMI) are demonstrating the potential
to help people with neurological disorders. The current trend in BMI technology is to …

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 that …

The current trend for implantable Brain Machine Interfaces (BMIs) is to increase the channel
count, towards next generation devices that improve on information transfer rate. This …

Neural recording system miniaturization and integration with low-power wireless
technologies require compressing neural data before transmission. Feature extraction is a …