Neuromorphic ionic computing in droplet interface junctions
17th April 2025
Timing : 1 pm ET
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The human brain achieves complex memory and computational functions by regulating ion transport through synaptic ion channels, inspiring the development of nanofluidic memristors that mimic synaptic behavior. In this work, we introduce a membrane ion channel synapse (MICS), composed of two lipid-terminated aqueous droplets, to achieve neuromorphic functionality. This deceptively simple system allows us to construct devices that exhibit a combination of memristive and memcapacitive functionality, characterized by hysteretic ion current-voltage responses. This functionality can be further regulated by introducing membrane ion channel functionality that alters membrane transport dynamics. We show that MICS can effectively simulate various electrical pulse pattern processing and replicate fundamental biological behaviors such as potentiation and depotentiation and associative learning—a hallmark of biological synapses. Furthermore, we demonstrate its potential for reservoir computing through tasks such as hand-written digit recognition. This study presents a soft, flexible, droplet-based biomimetic synapse with scalable networking capabilities, offering new opportunities for advanced brain-machine interfaces and next-generation computing devices.