论文标题
神经网络变性及其与大脑的关系
Neural Network Degeneration and its Relationship to the Brain
论文作者
论文摘要
该报告讨论了神经网络（NNS）作为大脑小部分的应用。代表生物连接组的网络在空间和时间上都会改变。这里应用的降解技术是“重量降解”，“重量争夺”和可变激活函数。这些方法旨在阐明研究神经退行性疾病，例如阿尔茨海默氏症，亨廷顿和帕金森氏病，以及中风和脑肿瘤，破坏了大脑网络中信息的流动。通过监视网络退化期间网络的错误函数，获得了记忆丧失和广义学习功能障碍的基本见解。还讨论了每个方面的生物学意义。
This report discusses the application of neural networks (NNs) as small segments of the brain. The networks representing the biological connectome are altered both spatially and temporally. The degradation techniques applied here are "weight degradation", "weight scrambling", and variable activation function. These methods aim to shine light on the study of neurodegenerative diseases such as Alzheimer's, Huntington's and Parkinson's disease as well as strokes and brain tumors disrupting the flow of information in the brain's network. Fundamental insights to memory loss and generalized learning dysfunction are gained by monitoring the network's error function during network degradation. The biological significance of each facet is also discussed.
