ANN SNN Conversion

ANN-SNN conversion focuses on efficiently transforming pre-trained artificial neural networks (ANNs) into spiking neural networks (SNNs), leveraging ANNs' training efficiency while harnessing SNNs' energy efficiency and speed for neuromorphic hardware. Current research emphasizes developing training-free conversion methods and optimizing algorithms to minimize information loss and latency during conversion, often involving novel thresholding strategies and membrane potential initialization techniques. This research area is significant because it promises to enable the deployment of low-power, high-performance SNNs for various applications, particularly in resource-constrained edge computing devices.