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Multichannel parallel processing of neural signals in memristor arrays
2020
Science Advances
Fully implantable neural interfaces with massive recording channels bring the gospel to patients with motor or speech function loss. As the number of recording channels rapidly increases, conventional complementary metal-oxide semiconductor (CMOS) chips for neural signal processing face severe challenges on parallelism scalability, computational cost, and power consumption. In this work, we propose a previously unexplored approach for parallel processing of multichannel neural signals in
doi:10.1126/sciadv.abc4797
pmid:33036975
pmcid:PMC7546699
fatcat:qn3scf6ecrctxnliyns2dt5rsa