Methods of Spiking Neural Networks

Abstract

Spiking neural networks (SNN) are biologically inspired ANN where information is represented as binary events (spikes), similar to the event potentials in the brain, and learning is also inspired by principles in the brain. SNN are also universal computational mechanisms (Maass in Math Found Comput Sci 1998, 72--83, 1998 [1]). These and many other reasons that are discussed in this chapter make SNN a preferred computational paradigm for modelling temporal and spatio-temporal data and for building brain-inspired AI. This chapter gives the background information for SNN that is further used in the rest of the book.