Spiking Neural Networks Training with Patio-Temporal Backpropagation

Patio-Temporal Backpropagation is a powerful technique for training spiking neural networks and achieving high performance results. This paper explores the benefits and implementation of the technique in the context of spiking neural networks. The importance of spiking neural networks in advancing artificial intelligence and machine learning is discussed. The article concludes with a discussion of potential applications of Patio-Temporal Backpropagation in future research.