Laser-guided ion dynamics in a dual-mode memristor for bioinspired neuronal and synaptic integration

Neuromorphic computing aims to replicate the parallel, adaptive nature of biological intelligence in electronic systems. Despite considerable advances in memristor technology, material-encoded neurosynaptic bifunctionality has not been demonstrated. We introduce a laser-guided dual-mode memristor that integrates both volatility for neuronal spiking and nonvolatility for synaptic plasticity within a single-phase material. By precisely modulating silver ion dynamics through XeCl excimer laser irradiation, we achieve local and dynamic control of the dual-mode memristive behavior without requiring a heterogeneous device array or stacking. The neurosynaptic tunability with optimal computational efficiency demonstrates reconfigurable reservoir computing and a positive feedback loop for adaptive learning.