杰克·盖勒特教授是一位在加州大学伯克利分校的神经心理学家。他将在这星期一应邀来密歇根州立大学做个学术报告。http://www.cogsci.msu.edu/DSS/2014-2015/Gallant/index.html在计算机科学和工程系发了有关他的学术报告的电子邮件后，根据我的脑自动机的理论，我加了以下注解。如果你感兴趣，可以考虑参加脑心智学院的远程学习夏季课程。http://brain-mind-institute.org/

Prof.Jack Gallant is a Neuropsycholgoist at University of California at Berkeley.  He will give a talk at Michigan State Universitythe following Monday. http://www.cogsci.msu.edu/DSS/2014-2015/Gallant/index.htmlAfter theemail that notifies our Computer Science Faculty about his talk, I added thefollowing notes according to my theory of brain automata. Those who are interested cantake the distance learning courses at the Brain-Mind Institute this summer:   http://brain-mind-institute.org/

杰克·盖勒特教授的谈话是和计算机科学密切相关的，但他可能不会同意这一点。我推荐了他的来访，但是，对不起，我下面的解释并没有得到他的批准：

Prof.Jack Gallant's talk is closely related to computer science more than heprobably would like to agree. I recommended his visit but, sorry, my explanationbelow has not got his approval:

整个大脑是一个巨大的查找表，因为图灵机——现有实用计算机的理论模型——的控制器相当于一个有限自动机。但对不起，这个理论还没有得到广泛支持。还记得有限自动机的转换函数吗？它有两个输入参数，一个是输入、另一个是状态。杰克·盖勒特教授的结果漂亮地显示，这个查找表为了找出条目，不仅需要输入，而且还需要状态（即意图）。当状态改变了，非常不同的输入被查找出来！

Theentire brain is a huge look-up table because the controller of a Turing Machineis equivalent to a Finite Automaton (sorry, not widely accepted yet).   Still remember the transition function of aFinite Automaton? It has two input parameters, input and state.  Prof. Jack Gallant's results beautifullyshowed that which entries in the table are looked up depend on not only input,but also state (i.e., intent).  When thestate changed, very different inputs were looked up!

盖勒特教授很快回了电子邮件：

约翰- 仅供参考，我认为大脑只是一个肉计算机。其工作原理我们还没有完全理解。我所有在做的是对这个系统做逆向工程的工作。所以，这实际上是一个计算机科学/工程的问题。图灵机的问题也扮演角色…

Hi John - Just FYI, I view the brain as just a meatycomputer that operates by principles we don't yet fully understand, and all I'mdoing is reverse-engineering the system. So this is really a computer science/engineering problem, and Turing machine issues do come into play...