Abstract
Organic neuromorphic transistors, characterized by low power consumption, high tunability, readily available materials and low fabrication cost, present significant potential for enabling novel brain‑inspired, energy‑efficient and highly parallel non‑von Neumann computing architectures. EGOFETs based on ionogels offer long-term stability, biocompatibility and low power operation. The high capacitance of the electrolyte enables low-voltage operation and allows these devices to emulate synaptic characteristics through ion-diffusion-induced modulation of the channel potential, such as EPSC, STP, PPF, and adaptation. In this work, we investigate how the composition of a biocompatible ionogel electrolyte influences on the neuromorphic performance of P3HT‑based EGOFETs. We systematically investigated the effects of anions, cations and solvent on ionogels properties and show that electrolyte composition enables precise tuning of key synaptic characteristics, including EPSC amplitude, average current decay time and the PPF index. These results highlight ionogel structure engineering as an effective strategy for optimizing artificial synapses and neuromorphic computing devices.