Cargando…
A Curiosity-Based Learning Method for Spiking Neural Networks
Spiking Neural Networks (SNNs) have shown favorable performance recently. Nonetheless, the time-consuming computation on neuron level and complex optimization limit their real-time application. Curiosity has shown great performance in brain learning, which helps biological brains grasp new knowledge...
Autores principales: | Shi, Mengting, Zhang, Tielin, Zeng, Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020337/ https://www.ncbi.nlm.nih.gov/pubmed/32116621 http://dx.doi.org/10.3389/fncom.2020.00007 |
Ejemplares similares
-
Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks
por: Shi, Mengting, et al.
Publicado: (2020) -
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity
por: Zhao, Dongcheng, et al.
Publicado: (2020) -
Multisensory Concept Learning Framework Based on Spiking Neural Networks
por: Wang, Yuwei, et al.
Publicado: (2022) -
Neuronal-Plasticity and Reward-Propagation Improved Recurrent Spiking Neural Networks
por: Jia, Shuncheng, et al.
Publicado: (2021) -
Quantum superposition inspired spiking neural network
por: Sun, Yinqian, et al.
Publicado: (2021)