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Neural Computation for Time-Space Sensing

机译:时空感知的神经计算

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This paper describes s study of neural system in animals. Conventional points of location capabilities of animals are studied on points of behaviors and biological experiments. Location problems are not solved against multiple random sound sources in equation or mathematical method. In this study, first, effective modeling is given on the basis of mathematical method of minimizing errors. Second, non-descriptive solution is given as the results of neural system operation. The capability of location by auditory sensing is found exceeding human capability. But this study suggests superior capability of animals except human kind. This study is achieved on the basis of the knowledge on electrical system configuration and operation for biological neural systems.
机译:本文介绍了对动物神经系统的研究。在行为和生物学实验上研究了动物的常规定位能力。对于方程式或数学方法中的多个随机声源,无法解决位置问题。在这项研究中,首先,在最小化误差的数学方法的基础上给出了有效的建模。其次,将非描述性解决方案作为神经系统操作的结果给出。发现通过听觉感测进行定位的能力超出了人类的能力。但是这项研究表明,除了人类以外,动物的能力也更高。这项研究是基于对生物神经系统的电气系统配置和操作的了解而完成的。

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