Published June 18, 2024
| Version 1.0
Dataset
Open
A theoretical framework for learning through structural plasticity
-
1.
INFN Sezione di Cagliari
- 2. Università degli Studi di Cagliari
Description
This dataset contains the data and scripts used for the preprint:
Tiddia, G., Sergi, L., & Golosio, B. (2023). A theoretical framework for learning through structural plasticity. ArXiv. DOI: https://doi.org/10.48550/arXiv.2307.11735
The dataset contains a README file with all the instructions for compiling and running the model.
Files
structural_plasticity-Tiddia2024.zip
Files
(133.2 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:a36d9228c3a25b303c1ef1ab2f3fd2fd
|
133.2 MB | Preview Download |
Additional details
Related works
- Is published in
- Preprint: arXiv:2307.11735 (arXiv)
Funding
- ICEI – Interactive Computing E-Infrastructure for the Human Brain Project 800858
- European Commission
- HBP SGA3 – Human Brain Project Specific Grant Agreement 3 945539
- European Commission
- HBP SGA2 – Human Brain Project Specific Grant Agreement 2 785907
- European Commission
- Italian Ministry of University and Research (MUR) Piano Nazionale di Ripresa e Resilienza (PNRR), project e.INS Ecosystem of Innovation for Next Generation Sardinia – spoke 10 CUP F53C22000430001 - MUR code: ECS00000038
- European Commission
Software
- Repository URL
- https://github.com/gmtiddia/structural_plasticity
- Programming language
- C++, Python