这个课程对计算神经科学的现况，提供了一个完整的介绍与基础训练，特别强调必要的思考。
This course offers a thorough introduction to and grounding in the current state of computational neuroscience, emphasizing critical thinking.
这个会议在探讨计算神经科学在理论研究与实验资料的交集，强调神经系统中系统性运作的回馈需求。
This meeting explored the convergence of theoretical work and experimental data on neuronal computations that highlight the feedback requirement for the systematic operation of the nervous system.
国际电气通信基础技术研究所(atr)的计算神经科学实验室也用fMRI扫描了实验对象所见的内容。
Advanced Telecommunications Research (ATR) Computational Neuroscience Laboratories also takes fMRI scans of what the subject sees.
一份综合阅读的书单用以检视计算神经科学领域，以及建立让未来从事研究工作的人能在职场上使用的知识基础。
A comprehensive reading list surveys the field of computational neuroscience and establishes a base of information that future researchers will be able to utilize throughout their careers.
这个科目是关于网络动力学，但不包含单一神经元的生物物理学，单一神经元的生物物理学将在9.29计算神经科学导论中教授。
This subject is about the dynamics of networks, but excludes the biophysics of single neurons, which will be taught in 9.29 Introduction to Computational Neuroscience.
这个科目是关于网络动力学，但不包含单一神经元的生物物理学。单一神经元的生物物理学会在9.29计算神经科学导论中教授。
This subject is about the dynamics of networks, but excludes the biophysics of single neurons, which will be taught in 9.29, Introduction to Computational Neuroscience.
2007年，柏林。伯恩斯坦计算神经科学研究中心的神经学家海恩斯将受试者推入脑扫描仪内，扫描仪内装有一个连续闪动随机变化字母的显示屏幕1。
In 2007 Haynes a neuroscientist at the Bernstein Center for Computational Neuroscience in Berlin put people into a brain scanner in which a display screen flashed a succession of random letters1.
在短期，可能还有另一种神经科学的研究方法会影响计算，数据挖掘和人工智能。
In the shorter-term, there is another way neuroscience research might influence computation, data mining, and artificial intelligence.
分布式计算的新进展正在改变神经科学家处理结果数据的方式，并可能在这个过程中，改变我们对计算的看法。
New progress in distributed computing is changing how neuroscientists work with the resulting data - and may, in the process, change how we think about computation.
分布式计算的新进展正在改变神经科学家处理结果数据的方式，并可能在这个过程中，改变我们对计算的看法。
New progress in distributed computing is changing how neuroscientists work with the resulting data - and may, in the process, change how we think about computation.
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