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Neural loop circuit memory and planning experiment for writing-in at cerebral cortex by coded pulse sequence

机译:编码脉冲序列在大脑皮层中写入的神经回路记忆和计划实验

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We show in this paper a feasibility of self organization of loop neural circuit for memory, association, and abstraction, which is algorithmically realizable. First we assume the memory is composed of loop neural circuit in the cerebral cortex. Then, we give how a memory content expressed by loop circuit shape is copied to blank area of cerebral cortex as well as how a path between memory loops with the same shape is found by broadcasting based on the classical Hebbian law. The generated sequence from the transmitting loop corresponding to the memory is a code by pseudo random sequence which is now popular in spread spectrum communication or mobile CDMA. Further, we show how the association and abstraction of the memory can be realized by the neural circuit. The loop circuit self-organizing model seems to be reasonable in the sense of hardware realizable, having large number of codes corresponding to various memory contents, and able to access to other memories associatively. Thus, the model seems able to account well unifiedly the information processing function of the brain.
机译:我们在本文中展示了回路神经电路的自组织用于存储,关联和抽象的可行性,该算法可通过算法实现。首先,我们假设记忆是由大脑皮层中的回路神经回路组成的。然后,我们给出了如何将由回路电路形状表示的记忆内容复制到大脑皮层的空白区域,以及如何根据经典的希伯来定律通过广播找到具有相同形状的记忆回路之间的路径。从发射回路产生的对应于存储器的序列是伪随机序列的代码,该伪随机序列现在在扩频通信或移动CDMA中很流行。此外,我们展示了如何通过神经电路来实现存储器的关联和抽象。就可实现的硬件而言,环路电路自组织模型似乎是合理的,具有与各种存储器内容相对应的大量代码,并且能够关联地访问其他存储器。因此,该模型似乎能够很好地统一说明大脑的信息处理功能。

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