Matei Stan

Matei Stan is a PhD student at the University of Manchester, focusing on State Space Models (SSMs) and their application in Spiking Neural Networks for long-range sequential tasks.

Contributions

Activity Timeline

2025

Combining State Space Models with Spiking Neural Networks via a Gated Spiking Unit eliminates saturation and outperforms Transformers on long sequence tasks.