Alishba Masood

Low Power Reconfigurable Neuromorphic Architecture by Sparsely Connected Spiking Neural Networks for Edge Applications

A sparse spike-aware and weight pruning FPGA architecture based on LIF neurons that minimizes spike activity and synaptic operations through pruning-aware event-driven computation and achieves superior energy efficiency, confirming its suitability for compact, real-time edge computing neuromorphic applications.