SEFRON : a new spiking neuron model with time-varying synaptic efficacy function for pattern classification

• Main Authors: Jeyasothy, Abeegithan, Sundaram, Suresh, Sundararajan, Narasimhan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Gamma-aminobutyric Acid (GABA)-switch
• Online Access: https://hdl.handle.net/10356/144620
• Institution: Nanyang Technological University

This paper presents a new time-varying long-term Synaptic Efficacy Function-based leaky-integrate-and-fire neuRON model, referred to as SEFRON and its supervised learning rule for pattern classification problems. The time-varying synaptic efficacy function is represented by a sum of amplitude modula...