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Editorial

机译:社论

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摘要

It was with great sadness that I learned of the death last year of the great computational neuroscientist and founding Editor of this journal, Daniel Amit. Daniel was a pioneer in the application to neuroscience of modelling principles common in physics. He was extremely influential in the birth of modern computational neuroscience in many other ways besides founding Network, as evidenced for instance by the thousands of citations to his seminal work on spin-glass models of neural networks with Gutfreund and Sompolinsky and his seminal 1989 textbook 'Modeling Brain Function: The World of Attractor Neural Networks' (Cambridge University Press). A more complete appreciation of his life and work appears after this Editorial, written by his former collaborator and Network Editorial Board Member, Nicolas Brunei.
机译:令我深感悲痛的是,我得知这位伟大的计算神经科学家和该杂志的创始编辑Daniel Amit的去世。丹尼尔(Daniel)是物理学中常见的建模原理应用于神经科学的先驱。除了创立Network之外,他还通过许多其他方式对现代计算神经科学的诞生产生了巨大影响,例如,他对Gutfreund和Sompolinsky关于神经网络的旋转玻璃模型的开创性工作以及他1989年开创性的教科书的成千上万的引用就证明了这一点。建模脑功能:吸引人神经网络世界(剑桥大学出版社)。本社论由他的前合作者和网络编辑委员会成员Nicolas Brunei撰写,对他的生活和工作有了更全面的了解。

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