SUPR
Spiking Neural Network
Dnr:

NAISS 2024/22-331

Type:

NAISS Small Compute

Principal Investigator:

Sanja Karilanova

Affiliation:

Uppsala universitet

Start Date:

2024-03-07

End Date:

2025-04-01

Primary Classification:

20205: Signal Processing

Webpage:

Allocation

Abstract

I am a PhD student who’s research is based on Spiking Neural Networks. Spiking Neural Network (SNN) is a machine learning algorithm and it represents a second generation of Neural Networks; the first one being the Artificial Neural Networks. As with almost any machine learning algorithm the training part of the algorithm is expensive and hence I need the resources UPPMAX is offering in order to train my Spiking Neural Network on various real and synthetic data.