Short‐Term and Long‐Term Memory Functionality of a Brain‐Like Device Built from Nanoparticle Atomic Switch Networks (Adv. Electron. Mater. 12/2024)

Brain-Like Device Built from Nanoparticle Atomic Switch Networks In article number 2400360, Hirofumi Tanaka and co-workers demonstrate the synaptic plasticity of an Ag–Ag2S nanoparticle-based memristor network, in which over a thousand interconnected atomic switches mimic biological learning. Short-term plasticity emerges through spontaneous conductance relaxation, while repeated pulse stimulation transitions the device into a state of long-term potentiation, analogous to memory formation. With a retention time of 40 minutes, this network also exhibits a forgetting process similar to human memory, advancing our understanding of neuromorphic systems and paving the way for hardware-based artificial neural networks.