High-performance asymmetric electrode structured light-stimulated synaptic transistor for artificial neural networks
Yixin Ran, Wanlong Lu, Xin Wang, Zongze Qin, Xinsu Qin, Guanyu Lu, Zhen Hu, Yuanwei Zhu, Laju Bu, Guanghao Lu
Abstract
J per light stimulus event. Subsequently, As-LSST implemented the optical logic function and associative learning. Utilizing As-LSST, an artificial neural network (ANN) with ultra-high recognition rate (over 97.5%) of handwritten numbers was constructed. This work presents an easily-accessible concept for future neuromorphic computing and intelligent electronic devices.
Topics & Concepts
Neuromorphic engineeringComputer scienceMaterials scienceTransistorPhotonicsSynaptic weightOptoelectronicsArtificial neural networkElectrodeElectronic engineeringVoltageElectrical engineeringArtificial intelligenceEngineeringPhysicsQuantum mechanicsNeural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingNeural dynamics and brain function