Pulsed neural networks based on delta-sigma modulation suitable for hardware implementation

Pulsed neural networks based on delta-sigma modulation (DSM-PNN) suitable for digital hardware implementation are introduced in this paper. Using delta-sigma modulation, which is a method to convert a signal into a 1-bit pulse-stream, it becomes possible to realize compact hardware implementation and accurate signal processing for pulsed neural networks. Since the proposed method has high versatility, various neural networks can be easily implemented in the hardware. In this paper, two pulsed neural networks, performing PCA or ICA, are introduced and their performance evaluated.