We consider (continuous-time) spiking neural networks and their use as robust memorizers of arbitrary spike trains. For details, we refer to Aguettaz and Loeliger, 2024.
The implementation is based on the Rust programming language. This language was designed with several key goals in mind, which revolve around improving safety, performance, and concurrency1, while making systems programming more accessible and ergonomic.
...
...
- Aguettaz and Loeliger, "Continuous-time neural networks can stably memorize random spike trains", arXiv, 2024.
- Klabnik and Nichols, The Rust Programming Language, 2021.
Footnotes
-
Read as concurrency or parallelism. ↩