Tissue-like interfacing of planar electrochemical organic neuromorphic devices

Daniela Rana, Chi-hyeong Kim, Meijing Wang, Fabio Cicoira and Francesca Santoro , Neuromorphic Computing and Engineering, 2024, Accepted Manuscript, http://iopscience.iop.org/article/10.1088/2634-4386/ad63c6

Daniela Rana and other colleagues from IBI-3, RWTH Aachen and Polytechnique University Montréal, Canada have published (16.07.2024) a paper in Neuromorphic Computing and Engineering. The paper examines the behavior of biogel-based organic electrochemical transistors (OECTs) using PEDOT:PSS as the channel and gate material and investigates the impact of electrolyte viscosity and cation diffusivity on short-term plasticity, as well as the effect of neurotransmitter-mediated long-term plasticity.

Tissue-like interfacing of planar electrochemical organic neuromorphic devices

Figure 1. ENODes steady-state characterization with different electrolytes. a, Schematics of structure of electrolytes used with the addition of 0.1 M NaCl: water-glycerol mixture with different concentrations and 0.6% agarose hydrogel ‘phantom brain’. b, Electrical characterization of printed ENODes with PEDOT:PSS SV3: transfer (b-I) and output curves (b-II) when different concentrations of glycerol are added in the electrolyte; transfer (b-III) and output curves (b-IV) when 0.6 % agarose hydrogel/0.1 M NaCl was used as electrolyte. c, Electrical characterization of spin coated ENODes based on spin coated PEDOT:PSS: transfer (c-I) and output curves (c-II) when different concentrations of glycerol were added in the electrolyte; transfer (c-III) and output curves (c-IV) when 0.6 % agarose hydrogel 0.1M NaCl was used as electrolyte. All the measurements were repeated three times, the curves reported are examples.

Publication: Daniela Rana, Chi-hyeong Kim, Meijing Wang, Fabio Cicoira and Francesca Santoro , Neuromorphic Computing and Engineering, 2024, Accepted Manuscript, http://iopscience.iop.org/article/10.1088/2634-4386/ad63c6

CONTACT:

DANIELA RANA
Institute of Biological Information Processing-Bioelectronics (IBI-3)
Tel.: +49 2461 61-8786
E-Mail: d.rana@fz-juelich.de


Prof. Dr. FRANCESCA SANTORO
Institute of Biological Information Processing-Bioelectronics (IBI-3)
Tel.: +49 2461 61-8786
E-Mail: f.santoro@fz-juelich.de

Last Modified: 05.09.2024