Metal–Organic\nFramework Nanofluidic Synapse

Abstract

Chemical\nsynapse completes the signaling through neurotransmitter-mediated\nion flux, the emulation of which has been a long-standing obstacle\nin neuromorphic exploration. Here, we report metal–organic\nframework (MOF) nanofluidic synapses in which conjugated MOFs with\nabundant ionic storage sites underlie the ionic hysteresis and simultaneously\nserve as catalase mimetics that sensitively respond to neurotransmitter\nglutamate (Glu). Various neurosynaptic patterns with adaptable weights\nare realized via Glu-mediated chemical/ionic coupling. In particular,\nnonlinear Hebbian and anti-Hebbian learning in millisecond time ranges\nare achieved, akin to those of chemical synapses. Reversible biochemical\nin-memory encoding via enzymatic Glu clearance is also accomplished.\nSuch results are prerequisites for highly bionic electrolytic computers.