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Characterization of Generalizability of Spike Timing Dependent Plasticity Trained Spiking Neural Networks
A Spiking Neural Network (SNN) is trained with Spike Timing Dependent Plasticity (STDP), which is a neuro-inspired unsupervised learning method for various machine learning applications. This paper studies the generalizability properties of the STDP learning processes using the Hausdorff dimension o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589121/ https://www.ncbi.nlm.nih.gov/pubmed/34776837 http://dx.doi.org/10.3389/fnins.2021.695357 |