The Mathematics of the Brain

S. Zechner
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Abstract

It has never been accomplished to describe our behavior mathematically. Due to the fact that human behavior is highly erratic even the understanding of its causes are still sketchy. Assuming that we are all equal in our regulation of thought and behavior there are simply too many differences and partially inconsistencies, the attempts stopped in its onset. For having defined the five major groups of mankind, the sociopath, the artist, the median, the, and the psychopath[1]each group is related to each other but his decision making is hardwired differently and thou probably more easy to grasp than sticking to the consistency of all appearance for the regulation of behavior is quite similar in the five groups but different in its limits. Using the more formalistic tools of mathematics, this can open the review of the equations in verifying or falsifying the predictions on future behavior in an individual, at least after defining the group affiliation. Therefore a self-test has been established[2]to predetermine the group. In a hybrid-species [3], the eight main neuro-receptors in each group to have two optional origins. Measuring each by its own dominating patterns not only the amalgamation in each group can be defined but also the native patterns of the non-hybrid ancestry [4]. Not only the variance of possible combination can distribute to the limits of brain-equations but also the time-axis of our memory, being rather different, illuminating the highly different decision making among offspring of hunters and farmers. A phenomenon probably explaining the variance in processing memory by peripheral distributed groups of ADHD and autism for ADHD memorizes in combining data with importance and such is been given an emotional response to the recall, while autism is mainly been given the exact time reference stored in a continuous frame of timepreference. The latter therefore have problems to distinguish between important and not important and the former lacks a passing timeframe, mirroring the primary form of acquiring resource, farming or hunting. With the boundaries set the graphs of the equation on resource-projection looks highly different by only changing its limits. Having not only focussed on the designation of human groups but also in behavioral shifts over time (from social to non-social) and the exact denomination of similar behavior, some rather simple equation could be defined to predict and consequently proof the predicate. Not only the proper use of words is necessary but also awareness that non-social individuals will often not answer truthfully. A topic that also can be mathematically predicted. The outcome will revolutionize our perception of mankind and ourselves, dawning more than one academic discipline, probably enabling us to go virtual and back again.
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大脑的数学
用数学方法描述我们的行为从来没有完成过。由于人类的行为是非常不稳定的,即使对其原因的理解仍然粗略。假设我们在思想和行为的规范上都是平等的,那么就会有太多的差异和部分的不一致,这些尝试在开始时就停止了。因为已经定义了人类的五大群体,反社会者,艺术家,中间者,和精神病患者[1],每个群体都是相互关联的,但他的决策是不同的,这可能比坚持所有表象的一致性更容易理解,因为在这五个群体中,行为的调节是非常相似的,但在其限制上是不同的。使用更形式化的数学工具,这可以在验证或伪造对个人未来行为的预测时打开对方程的回顾,至少在定义了群体关系之后。因此建立了自检[2]来预先确定群体。在杂交物种中[3],每组中的8个主要神经受体可能有两个可选的来源。通过各自的主导模式来衡量,不仅可以定义每个群体的合并,还可以定义非杂交祖先的本地模式[4]。不仅可能组合的差异可以分布到大脑方程的极限,而且我们记忆的时间轴也有很大的不同,这说明了猎人和农民的后代做出的决定有很大的不同。ADHD和自闭症的外围分布群体对ADHD记忆加工的差异可能是将数据与重要性结合起来,这是对回忆的情绪反应,而自闭症主要是给予存储在连续时间偏好框架中的准确时间参考。因此,后者在区分重要和不重要方面存在问题,而前者缺乏时间框架,反映了获取资源、耕种或狩猎的主要形式。随着边界的设置,仅改变其极限,资源预测方程的图形看起来有很大的不同。不仅关注人类群体的名称,而且关注随时间的行为转变(从社会到非社会)和类似行为的确切名称,可以定义一些相当简单的方程来预测并最终证明谓词。正确的措辞不仅是必要的,而且要意识到非社会个体通常不会如实回答。一个可以用数学方法预测的话题。其结果将彻底改变我们对人类和自己的看法,催生出不止一门学科,可能使我们能够回到虚拟世界,并再次回到虚拟世界。
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