Fabio Biscarini1
University di Modena e Reggio Emilia1
Fabio Biscarini1
University di Modena e Reggio Emilia1
Organic electronic neuromorphic components and devices operated in electrolytes are being investigated in vitro and in vivo as tools for selective bio-sensing, as their frequency response is strongly affected by the dopamine content of the operational electrolyte,<sup>1</sup> and as signal recroding and signal processing units, thanks to their frequency response which enables low-power computation at the hardware level.<sup>2,3</sup><br/><br/>These properties stem from the inherent matching of the relevant timescales, as well as the chemical nature of the active layer and its strong interactions with neurotransmitters on the one hand, and, on the other hand, the similarity between the signal processing logic paradigms in the brain and in organic neuromorphic devices. Nonetheless, the implementation of neuromorphic devices and concepts in neuroelectronic interfaces designed specifically for translation comes with number of practical and conceptual hurdles which should be addressed, at both sides of the biotic/abiotic interface.<br/><br/>In this presentation, I will discuss some of the hurdles to translation of neuromorphic devices to clinical settings, showing experimental examples of recordings of electrical and chemical signals, and present some device layouts and material processing strategies for overcoming them.<br/> <br/><b>References</b><br/> <br/>Giordani M, Sensi M, Berto M, et al. Neuromorphic Organic Devices that Specifically Discriminate Dopamine from Its Metabolites by Nonspecific Interactions. <i>Adv Funct Mater</i>. 2020;30(28):1-13. doi:10.1002/adfm.202002141<br/>De Salvo A, Rondelli F, Di Lauro M <i>et al.</i> <i>Organic electronics circuitry for in situ real-time processing of electrophysiological signals</i>. https://www.researchsquare.com/article/rs-2775813/v1 (2023) doi:10.21203/rs.3.rs-2775813/v1.<br/>Keene, S. T., Gkoupidenis, P. & Burgt, Y. van de. Neuromorphic computing systems based on flexible organic electronics. in <i>Organic Flexible Electronics</i> 531–574 (Elsevier, 2021). doi:10.1016/B978-0-12-818890-3.00018-7.