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

Student Talk: Learning Long Sequences in Spiking Neural Networks with Matei Stan

July 27

Student Talks

Explore how State Space Models (SSMs) combined with Spiking Neural Networks (SNNs) can outperform Transformers on long-sequence tasks, and learn about a novel feature mixing layer that challenges assumptions about binary activations.