An organic brain-inspired platform with neurotransmitter closed-loop control, actuation and reinforcement learning.

Journal: Materials horizons
PMID:

Abstract

Organic neuromorphic platforms have recently received growing interest for the implementation and integration of artificial and hybrid neuronal networks. Here, achieving closed-loop and learning/training processes as in the human brain is still a major challenge especially exploiting time-dependent biosignalling such as neurotransmitter release. Here, we present an integrated organic platform capable of cooperating with standard silicon technologies, to achieve brain-inspired computing adaptive synaptic potentiation and depression, in a closed-loop fashion. The microfabricated platform could be interfaced and control a robotic hand which ultimately was able to learn the grasping of differently sized objects, autonomously.

Authors

  • Ugo Bruno
    Tissue Electronics, Istituto Italiano di Tecnologia, 80125, Naples, Italy.
  • Daniela Rana
    Institute of Biological Information Processing - Bioelectronics, IBI-3, Forschungszentrum Juelich, 52428, Germany.
  • Chiara Ausilio
    Tissue Electronics, Istituto Italiano di Tecnologia, 80125, Naples, Italy.
  • Anna Mariano
    Tissue Electronics, Istituto Italiano di Tecnologia, 80125, Naples, Italy.
  • Ottavia Bettucci
    Tissue Electronics, Istituto Italiano di Tecnologia, 80125, Naples, Italy.
  • Simon Musall
    Cold Spring Harbor Laboratory, Neuroscience, Cold Spring Harbor, NY, USA.
  • Claudia Lubrano
    Institute of Biological Information Processing - Bioelectronics, IBI-3, Forschungszentrum Juelich, 52428, Germany.
  • Francesca Santoro
    Tissue Electronics, Istituto Italiano di Tecnologia, 80125, Naples, Italy.