Spiking neural networks are generally used for sequential information and event data processing but still lack high performance. Through algorithm and hardware co-design, Zhang et al. report a State Space Model based approach to implement on compute-in memory hardware, enabling asynchronous and real-time processing capability with high energy efficiency for event sequences.
- Xiaoyu Zhang
- Mingtao Hu
- Wei D. Lu
