| Literature DB >> 34017221 |
Jinyong Kim1, Carly V Fengel2, Siyuan Yu1, Ethan D Minot2, Matthew L Johnston1.
Abstract
Multielectrode arrays are used broadly for neural recording, both in vivo and for ex vivo cultured neurons. In most cases, recording sites are passive electrodes wired to external read-out circuitry, and the number of wires is at least equal to the number of recording sites. We present an approach to break the conventional N-wire, N-electrode array architecture using graphene active electrodes, which allow signal upconversion at the recording site and sharing of each interface wire among multiple active electrodes using frequency-division multiplexing (FDM). The presented work includes the design and implementation of a frequency modulation and readout architecture using graphene FET electrodes, a custom integrated circuit (IC) analog front-end (AFE), and digital demodulation. The AFE was fabricated in 0.18 μm CMOS; electrical characterization and multi-channel FDM results are provided, including GFET-based signal modulation and IC/DSP demodulation. Long-term, this approach can simultaneously enable high signal count, high spatial resolution, and high temporal precision to infer functional interactions between neurons while markedly decreasing access wires.Entities:
Keywords: frequency division multiplexing (FDM); graphene; multi-channel; neural-recording
Year: 2021 PMID: 34017221 PMCID: PMC8130868 DOI: 10.1109/tcsii.2021.3066556
Source DB: PubMed Journal: IEEE Trans Circuits Syst II Express Briefs ISSN: 1549-7747 Impact factor: 3.292