Broadband All‐Optical Memtransistor Based on Organic Cocrystals for Noise‐Robust Motion Recognition

Abstract All‐optical artificial synaptic devices offer promising potential for neuromorphic computing, yet their development is hindered by limited spectral tunability and poor plasticity linearity. Here, a broadband all‐optical synaptic memtransistor based on organic charge transfer cocrystals (DTT‐TCNQ) is reported, which enables fully light‐driven and reversible modulation of synaptic weights across a wide wavelength range (395–808 nm). The device exhibits bidirectional excitatory and inhibitory photoresponses, and achieves highly linear long‐term potentiation and depression (LTP/LTD) characteristics with ultralow nonlinearity (α _p = 0.00191, α _d = 0.00305) and asymmetry ratio (AR = 0.00114), attributed to a synergistic strategy combining frequency modulation and photoelectric coupling. When integrated into a convolutional neural long short‐term memory network (CNN‐LSTM) hybrid network, the device enables rapid convergence (98.77% accuracy in 6 training epochs) and robust recognition performance under spatiotemporal noise, outperforming conventional light‐write/electric‐erasing schemes. This work bridges material‐level innovation and system‐level functionality, offering a scalable approach toward energy‐efficient, noise‐resilient neuromorphic vision systems.