Tutorial: Neuromorphic spiking neural networks for temporal learning
Tutorial: Neuromorphic spiking neural networks for temporal learning is a scholarly work, published in 2018 in ''Journal of Applied Physics''. The main subjects of the publication include reservoir computing, artificial intelligence, spiking neural network, artificial neural network, memristor, neuroscience, neuromorphic engineering, and computer science. Spiking neural networks (SNNs), as time-dependent hypotheses consisting of spiking nodes (neurons) and directed edges (synapses), are believed to offer unique solutions to reward prediction tasks and the related feedback that are classified as reinforcement learning.