Art

J-GLOBAL ID：202302273294604426   Reference number：23A2121392

Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network

生物学的ニューラルネットワークの特徴的な性質とより良い生物学的にもっともらしいニューラルネットワークに向けたボトムアップアプローチにおける最近の進歩【JST・京大機械翻訳】

Author (2)： Jeon Ikhwan (Brain Science Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea) ,  Kim Taegon (Brain Science Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea)
Material： Frontiers in Computational Neuroscience (Web)  (Front Comput Neurosci (Web))
Volume： 17  Page： 1092185  Publication year： 2023 
JST Material Number： U7036A  ISSN： 1662-5188  Document type： Article
Article type： 文献レビュー  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Although it may appear infeasi...

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Thesaurus term： optimization ,  *network ,  neuron ,  *neural network(biomodel) ,  synapse ,  artificial intelligence ,  neuroscience ,  computer architecture ,  network architecture
Semi thesaurus term： *ボトムアップ , 【Automatic Indexing@JST】

Author keywords (8)： bottom-up approach ,  biologically plausible neural network ,  optimization of neural network ,  biological neural network supremacy ,  neural network architecture ,  balanced network ,  dendritic computation ,  Dale’s principle

JST classification (2)： Brain and nervous system models  (EL02050C) ,  Central nervous system  (EJ12030F)

Reference (266)：

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• Aimone J. B., Ho Y., Parekh O., Phillips C. A., Pinar A., Severa W., et al. (2021). “Provable advantages for graph algorithms in spiking neural networks,” in Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, SPAA '21 (New York, NY: Association for Computing Machinery), 35-47. doi: 10.1145/3409964.3461813
• Akam T., Kullmann D. M. (2014). Oscillatory multiplexing of population codes for selective communication in the mammalian brain. Nat. Rev. Neurosci. 15, 111-122. doi: 10.1038/nrn3668

Terms in the title (4)： 生物学 ,  ニューラルネットワーク ,  性質 ,  ボトムアップ