Abstract
In a recent paper published in <i>Science Advances</i> by Krauhausen and co-authors,<sup>1</sup> the Gkoupidenis' research group from the Max Planck Institute for Polymer Research demonstrated the use of organic neuromorphic electronics to drive a small robot through a maze. Using organic electrochemical transistors (OECTs), the authors designed a neuromorphic circuit and demonstrated energy efficient and reliable learning capabilities enabled by the mixed ionic-electronic conduction of the organic semiconductor. The work demonstrates unprecedented capabilities in organic neuromorphics toward effective local and decentralized learning, which is attractive for smart robotics.
Published Version
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