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... neural coding models that depend on phase, increasing the informational content of neural representations; and (4) likely originate from the dynamics of ... Apr 17, 2019 ... ... learning (AL) framework to select most informative samples for training our model using a Bayesian neural network. Informative samples are ... Sep 4, 2020 ... TABOO: De- tecting unstructured sensitive information using recursive neural networks. In Proceedings of the 33rd International Conference on. The recent surge of graph embedding and graph neural networks also call for renewed and novel methodologies for heterogeneous information network analysis. As a ... ... data, Transfer speed · circuit DATA neural network Ai technology cloud computing bits internet 5g blue background information Ai Talking. Free. Background based ... ... information transmission by single neurons but not by the entire network. Most surprisingly, addition of a delay can change the dependence of the information ... May 9, 2023 ... The article examines the role of the spontaneous activity of neurons, and therefore, of brain neural networks, in information processing. Nov 23, 2010 ... ... information processing by neural networks, using a simple cultured neural network. 5. Conclusion. Many useful paradigms and engineering ... May 29, 2024 ... However, in large systems, such as neuronal networks, the reconstruction of such topology is usually carried out from the information encoded in ... Sep 1, 2021 ... We find that specialized neuronal populations in auditory cortex form functional networks during auditory task performance whose structures depend on both ...