Advancements in Fluidic Ionic Devices: Implications for Neuromorphic Integrated Circuit Design

Biological brains that use ions as signaling carriers exhibit powerful computing and learning capabilities. Inspired by this, ion-based neuromorphic devices have gained widespread attention. As a neuromorphic device, the fluidic ionic memristor can simulate not only synaptic plasticity but also the transduction of chemical-electrical signals because of unique ions biocompatibility. Furthermore, ionic circuits provide a versatile platform for constructing neural networks, demonstrating significant potential for simulating biologically inspired computations. However, ion-based neuromorphic computational circuits are still in their infancy, and there is an urgent need for comprehensive guidance on their development. In this perspective, we first describe the development of ionic devices and the working principle of fluidic ionic memristors as well as their application in the simulation of biological synapses systematically. We then summarize the construction of neuromorphic computing integrated circuits in a fluidic environment. Finally, a series of solutions to the challenges faced by ionic devices involving performance indexes and the design of neuromorphic circuits are also discussed.