Massively parallel microwire arrays integrated with CMOS chips for neural recording

Abdulmalik Obaid(Stanford University), Mina-Elraheb Hanna(Stanford University), Yu‐Wei Wu(Stanford University), Mihály Köllő(The Francis Crick Institute), Romeo Rácz(The Francis Crick Institute), Matthew R. Angle, Jan Müller(ETH Zurich), Nora Brackbill(Stanford University), William Wray(The Francis Crick Institute), Felix Franke(ETH Zurich), E. J. Chichilnisky(Stanford Medicine), Andreas Hierlemann(ETH Zurich), Jun Ding(Stanford University), Andreas T. Schaefer(The Francis Crick Institute), Nicholas A. Melosh(Stanford University)
Science Advances
March 20, 2020
Cited by 191Open Access
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Abstract

Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices have not kept pace. Here, we present a new strategy to interface silicon-based chips with three-dimensional microwire arrays, providing the link between rapidly-developing electronics and high density neural interfaces. The system consists of a bundle of microwires mated to large-scale microelectrode arrays, such as camera chips. This system has excellent recording performance, demonstrated via single unit and local-field potential recordings in isolated retina and in the motor cortex or striatum of awake moving mice. The modular design enables a variety of microwire types and sizes to be integrated with different types of pixel arrays, connecting the rapid progress of commercial multiplexing, digitisation and data acquisition hardware together with a three-dimensional neural interface.


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