国际上除了开展相关的实验研究以外,非常重要的一个方面就是理论神经科学(Theoretical Neuroscience),通过基于神经元和神经元网络的非线性动力学模型研究脑与认知的问题。
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理论神经科学的现代研究可以分作三个项目:细胞生物物理学,网路动力学,和神经生物学资料的统计分析。
Modern research in theoretical neuroscience can be divided into three categories: cellular biophysics, network dynamics, and statistical analysis of neurobiological data.
有更多“外部”和“客观”的意识的方法,如神经科学、认知科学、混乱和复杂性理论,行为和神经药理学。
There are the more "external" and"objective" approaches to consciousness, such as neuroscience, cognitivescience, chaos and complexity theory, behaviorism, and neuropharmacology.
根据神经科学实验的相关结果,本文给出了一个基于属性的思维建构与智能模拟的数学理论与方法,简称属性论的初略框架。
Based on some neural science experiments, a mathematical theory and method for thinking construction and intelligence modeling called attribute theory and method is presented in this paper.
I'm also including modern-day approaches to computational theory, cognitive neuroscience, evolutionary theory and cultural psychology.
而这些理论则包括了,计算理论,认知神经科学,进化论,以及文化心理学的诸多当代理论
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