journal article·2024-07Open access

Concealing Organic Neuromorphic Devices with Neuronal‐Inspired Supported Lipid Bilayers

Chiara Ausilio, Claudia Lubrano, Daniela Rana, Giovanni Maria Matrone, Ugo Bruno, Francesca Santoro

Advanced Science· Volume 11· Issue 27

Abstract

Abstract Neurohybrid systems have gained large attention for their potential as in vitro and in vivo platform to interrogate and modulate the activity of cells and tissue within nervous system. In this scenario organic neuromorphic devices have been engineered as bioelectronic platforms to resemble characteristic neuronal functions. However, aiming to a functional communication with neuronal cells, material synthesis, and surface engineering can yet be exploited for optimizing bio‐recognition processes at the neuromorphic‐neuronal hybrid interface. In this work, artificial neuronal‐inspired lipid bilayers have been assembled on an electrochemical neuromorphic organic device (ENODe) to resemble post‐synaptic structural and functional features of living synapses. Here, synaptic conditioning has been achieved by introducing two neurotransmitter‐mediated biochemical signals, to induce an irreversible change in the device conductance thus achieving Pavlovian associative learning. This new class of in vitro devices can be further exploited for assembling hybrid neuronal networks and potentially for in vivo integration within living neuronal tissues.
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Research context

OpenAlex topics: Conducting polymers and applications · Neuroscience and Neural Engineering · Lipid Membrane Structure and Behavior

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Advanced Biomaterials for HealthCare@CRIB Istituto Italiano di Tecnologia Naples 80125 Italy

Dipartimento di Chimica Materiali e Produzione Industriale Università di Napoli Federico II Naples 80125 Italy

Faculty of Electrical Engineering and Information Technology RWTH Aachen 52072 Aachen Germany

Institute of Biological Information Processing – Bioelectronics IBI‐3 Forschungszentrum Juelich 52428 Juelich Germany

Funding

European Research Council

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