A 1024-Channel 268-nW/Pixel 36×36 μm2/Channel Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces

This article presents a data-compressive neural recording IC for single-cell resolution high-bandwidth brain-computer interfaces (BCIs). The IC features wired-OR lossy compression during digitization, thus preventing data deluge and massive data movement. By discarding unwanted baseline samples of t...

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Veröffentlicht in:	IEEE journal of solid-state circuits 2024-04, Vol.59 (4), p.1123-1136
Hauptverfasser:	Jang, Moonhyung, Hays, Maddy, Yu, Wei-Han, Lee, Changuk, Caragiulo, Pietro, Ramkaj, Athanasios T., Wang, Pingyu, Phillips, A. J., Vitale, Nicholas, Tandon, Pulkit, Yan, Pumiao, Mak, Pui-In, Chae, Youngcheol, Chichilnisky, E. J., Murmann, Boris, Muratore, Dante G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analog to digital conversion Analog-digital conversion Arrays Bandwidths Brain-computer interfaces Brain–computer interface (BCI) brain–machine interface (BMI) compression Data compression Digitization Electrodes Human-computer interface Integrated circuits Microelectrodes multi-electrode array Neural implants neural interface neural recording Noise levels Pixels pulse-position modulation (PPM) Recording single-cell resolution
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