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A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm
A dendritic neuron model with adaptive synapses (DMASs) based on differential evolution (DE) algorithm training is proposed. According to the signal transmission order, a DNM can be divided into four parts: the synaptic layer, dendritic layer, membrane layer, and somatic cell layer. It can be conver...
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| Опубликовано в: : | Comput Intell Neurosci |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Hindawi
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7201754/ https://ncbi.nlm.nih.gov/pubmed/32405292 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/2710561 |
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