Spiking Token Mixer: An Event-Driven Friendly Former Structure for Spiking Neural Networks
–Neural Information Processing Systems
Compared to the clock-driven synchronous chip, the event-driven asynchronous chip achieves much lower energy consumption but only supports some specific network operations. Recently, a series of SNN projects have achieved tremendous success, significantly improving the SNN's performance. However, event-driven asynchronous chips do not support some of the proposed structures, making it impossible to integrate these SNNs into asynchronous hardware.
Neural Information Processing Systems
Feb-18-2026, 13:05:43 GMT
- Country:
- Asia > China > Guangdong Province > Shenzhen (0.04)
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Energy (0.35)
- Information Technology (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Cognitive Science (0.93)
- Machine Learning > Neural Networks (1.00)
- Natural Language (1.00)
- Vision (1.00)
- Information Technology > Artificial Intelligence