Bridging machine learning and neuroscience with a silicon nanosheet neuromorphic device

In brief 2D properties of the silicon nanosheets (SiNSs) enable the neuromorphic behaviors of the devices, which are rigorously analyzed by mathematical deduction and modeling.The prototype chip demonstrated on-chip pattern recognition capabilities.The quasi-ReLU activation function of the SiNS device network maps onto artificial neural networks used in machine learning.