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Reservoir computing with biocompatible organic electrochemical networks for brain-inspired biosignal classification

Matteo Cucchi1, Christopher Gruener2, Lautaro Petrauskas2,3

  • 1Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), Nöthnitzer Str. 61, 01187 Dresden, Germany. matteo.cucchi@tu-dresden.de.

Science Advances
|August 19, 2021
PubMed
Summary

This study introduces brain-inspired organic electrochemical networks for real-time biosignal analysis. These novel devices demonstrate potential for early detection of critical health patterns, like heart arrhythmias, using ultralow-power artificial neural networks.

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