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Neural Netw. 2012 Aug;32:86-95. doi: 10.1016/j.neunet.2012.02.026. Epub 2012 Feb 14.
Hard core neural network research includes development of mathematical models of cognitive prediction and optimization aimed at dual use, both as models of what we see in brain circuits and behavior, and as useful general-purpose engineering technology. The pathway and principles now exist to let us someday replicate learning abilities as elevated as what we see in the brain of the mouse-but how can this help us today in understanding and maximizing the much greater potential of the human mind, as addressed by many schools of thought all over the world for centuries? This paper discusses how we might use what we have learned at a lower level to better illuminate key phenomena in first person and clinical human experience such as Freud's "psychic energy", the role of traumatic experience, the interpretation of dreams, creativity, the cultivation of sanity and sensitivity, and the biological foundations of language.
硬核神经网络研究包括开发认知预测和优化的数学模型,旨在双重应用,既是我们在大脑回路和行为中看到的模型,也是有用的通用工程技术。现在存在的途径和原则可以让我们有一天复制学习能力,就像我们在老鼠大脑中看到的那样高,但这如何帮助我们今天理解和最大化人类思想的更大潜力,这是全世界数百年来许多思想流派所关注的问题?本文讨论了我们如何利用较低层次的知识更好地阐明第一人称和临床人类经验中的关键现象,如弗洛伊德的“心理能量”、创伤经历的作用、梦境的解释、创造力、理智和敏感性的培养以及语言的生物学基础。