Harnessing Laser-Controlled Filaments to Advance Neuromorphic Computing in Vanadium Dioxide

Scientists have developed a dynamic network structure for neuromorphic computing using laser-controlled conducting filaments in vanadium dioxide (VO2). VO2 undergoes a metal-insulator transition at a specific temperature, making it suitable for various applications. Its ability to mimic the behavior of biological neurons and adapt its conductivity makes it ideal for neuromorphic computing. The researchers used focused lasers and quantum sensors to manipulate and study the conducting filaments within VO2, achieving precise control over their location. The artificial synapses demonstrated long-term and short-term potentiation, resembling the learning and processing capabilities of neural networks. The researchers aim to build more complex neural networks using multilayer electrodes and light fields for synaptic connectivity.