GenericSNN: A Framework for Easy Development of Spiking Neural Networks
Spiking Neural Networks (SNNs) have emerged as a prominent paradigm for brain-inspired computing, capable of processing temporal information and event-driven data in an efficient and biologically plausible manner. However, their revolutionary and complex nature is one of the key reasons why SNNs are...
| Main Authors: | , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
IEEE
2024-01-01
|
| Colecção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10506505/ |