Cargando…
Spiking neural networks fine-tuning for brain image segmentation
INTRODUCTION: The field of machine learning has undergone a significant transformation with the progress of deep artificial neural networks (ANNs) and the growing accessibility of annotated data. ANNs usually require substantial power and memory usage to achieve optimal performance. Spiking neural n...
Autores principales: | Yue, Ye, Baltes, Marc, Abuhajar, Nidal, Sun, Tao, Karanth, Avinash, Smith, Charles D., Bihl, Trevor, Liu, Jundong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646327/ https://www.ncbi.nlm.nih.gov/pubmed/38027484 http://dx.doi.org/10.3389/fnins.2023.1267639 |
Ejemplares similares
-
Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning
por: Lee, Chankyu, et al.
Publicado: (2018) -
An efficient automated parameter tuning framework for spiking neural networks
por: Carlson, Kristofor D., et al.
Publicado: (2014) -
Microglia and synapse interactions: fine tuning neural circuits and candidate molecules
por: Miyamoto, Akiko, et al.
Publicado: (2013) -
Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
por: Cruz, Nicolás C., et al.
Publicado: (2022) -
Excitatory and inhibitory STDP jointly tune feedforward neural circuits to selectively propagate correlated spiking activity
por: Kleberg, Florence I., et al.
Publicado: (2014)