Emulation of biphasic plasticity in retinal electrical synapses for light-adaptive pattern pre-processing

Electrical synapses provide rapid, bidirectional communication in nervous systems, accomplishing tasks distinct from and complementary to chemical synapses. Here, we demonstrate an artificial electrical synapse based on second-order conductance transition (SOCT) in an Ag-based memristor for the first time. High-resolution transmission electron microscopy indicates that SOCT is mediated by the virtual silver electrode. Besides the conventional chemical synaptic behaviors, the biphasic plasticity of electrical synapses is well emulated by integrating the device with a photosensitive element to form an optical pre-processing unit (OPU), which contributes to the retinal neural circuitry and is adaptive to ambient illumination. By synergizing the OPU and spiking neural network (SNN), adaptive pattern recognition tasks are accomplished under different light and noise settings. This work not only contributes to the further completion of synaptic behaviour for hardware-level neuromorphic computing, but also potentially enables image pre-processing with light adaptation and noise suppression for adaptive visual recognition.

Automated summary

The artificial electrical synapse based on second-order conductance transition in an Ag-based memristor demonstrates rapid communication in neural systems. By integrating the device with a photosensitive element to form an optical pre-processing unit, it is able to emulate biphasic plasticity of electrical synapses and achieve adaptive pattern recognition tasks under different light and noise settings. This advancement contributes to hardware-level neuromorphic computing and enables image pre-processing with light adaptation and noise suppression for adaptive visual recognition.