Brain-inspired chaotic spiking backpropagation
Brain-inspired chaotic spiking backpropagation is a scholarly work, published in 2024 in ''National Science Review''. The main subjects of the publication include Chaotic, reservoir computing, artificial intelligence, spiking neural network, artificial neural network, biological robustness, memristor, process, backpropagation, neuromorphic engineering, machine learning, maxima and minima, and computer science. From a computational viewpoint, authors found that CSBP significantly outperforms current state-of-the-art methods on both neuromorphic data sets (e.g.