Engineering and Technology

Real-time, neural signal processing for high-density brain-implantable devices

A. M. Sodagar, Y. Khazaei, et al.

High-density intracortical implants promise thousands of channels, but massive recorded data threatens to bottleneck wireless brain microsystems. This review examines the technical challenges of streaming data off implants and surveys on-implant, hardware-efficient digital signal processing methods — including spike detection and extraction, temporal and spatial compression, and spike sorting — to enable low-power, real-time operation. This research was conducted by Amir M. Sodagar, Yousef Khazaei, Mahdi Nekoui, and MohammadAli Shaeri.

00:00

~3 min • Beginner • English

Related Publications

Explore these studies to deepen your understanding of the subject.

Medicine and Health

A deep unrolled neural network for real-time MRI-guided brain intervention

Z. He, Y. Zhu, et al.

Engineering and Technology

Neural signal analysis with memristor arrays towards high-efficiency brain-machine interfaces

Z. Liu, J. Tang, et al.

$A deep convolutional neural network for real-time full profile analysis of big powder diffraction data$

Chemistry

A deep convolutional neural network for real-time full profile analysis of big powder diffraction data

H. Dong, K. T. Butler, et al.

Engineering and Technology

Wide-range and high-accuracy wireless sensor with self-humidity compensation for real-time ammonia monitoring

W. Lv, J. Yang, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny