Development of interpretable spiking neural network for multiclass classification

• Main Author: Jeyasothy, Abeegithan
• Other Authors: Quek Hiok Chai
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Computing methodologies::Pattern recognition; Engineering::Computer science and engineering::Theory of computation::Computation by abstract devices
• Online Access: https://hdl.handle.net/10356/156352
• Institution: Nanyang Technological University

Spiking Neural Networks (SNNs) are the third generation of artificial neural networks, which process inputs asynchronously, through spikes. A spike is a discrete event in the temporal domain. This provides an additional dimension of time in SNN for processing the inputs. SNN's way of informatio...