Tissue-like interfacing of planar electrochemical organic neuromorphic devices

• Published in: Neuromorphic computing and engineering Vol. 4; no. 3; pp. 34010 - 34019
• Main Authors: Rana, Daniela, Kim, Chi-hyeong, Wang, Meijing, Cicoira, Fabio, Santoro, Francesca
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.09.2024
• Subjects: gel electrolytes; neurohybrid interfaces; organic neuromorphic devices; tissue-like interfaces
• ISSN: 2634-4386; 2634-4386
• DOI: 10.1088/2634-4386/ad63c6

Abstract Electrochemical organic neuromorphic devices (ENODes) are rapidly developing as platforms for computing, automation, and biointerfacing. Resembling short- and long-term synaptic plasticity is a key characteristic in creating functional neuromorphic interfaces that showcase spiking activity and learning capabilities. This potentially enables ENODes to couple with biological systems, such as living neuronal cells and ultimately the brain. Before coupling ENODes with the brain, it is worth investigating the neuromorphic behavior of ENODes when they interface with electrolytes that have a consistency similar to brain tissue in mechanical properties, as this can affect the modulation of ion and neurotransmitter diffusion. Here, we present ENODEs based on different PEDOT:PSS formulations with various geometries interfacing with gel-electrolytes loaded with a neurotransmitter to mimic brain-chip interfacing. Short-term plasticity and neurotransmitter-mediated long-term plasticity have been characterized in contact with diverse gel electrolytes. We found that both the composition of the electrolyte and the PEDOT:PSS formulation used as gate and channel material play a crucial role in the diffusion and trapping of cations that ultimately modulate the conductance of the transistor channels. It was shown that paired pulse facilitation can be achieved in both devices, while long-term plasticity can be achieved with a tissue-like soft electrolyte, such as agarose gel electrolyte, on spin-coated ENODes. Our work on ENODe-gel coupling could pave the way for effective brain interfacing for computing and neuroelectronic applications.