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Neuron mechanism of human languages

机译:人类语言的神经元机制

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Human brain is exceptionally complex and simple at the same time. Its extremely composite biological structure results in human everyday behavior. Many people might consider this behavior rather simple than complex. In our research we will concentrate on the ways with which the human brain can process English and other human languages because taken in general sense, the ability to speak English or other natural languages is only serious distinguishing feature that rises humans over the rest of the world making a human an intellectual being. For the purpose of our research we consider natural language as a naturally-formed symbolic system completely independent of these symbols' physical nature. This is a little more general than a common natural language definition. The principles of natural language processing in the brain are most important for us if we want to build equally powerful artificial general intelligence. We start with the features of the human brain neurons and neural networks, and step by step create a computer model of the human brain networks that is capable of processing and generating a reasonable speech. The main objective of our research is to reveal how the tiny single neurons working together can produce intellectual-like behaviour that exhibits itself in proper speech comprehension and generation in accordance with current context.
机译:人脑同时异常复杂和简单。其极其复杂的生物结构导致人类的日常行为。许多人可能认为这种行为相当简单而不是复杂。在我们的研究中,我们将集中在人脑处理英语和其他人类语言的方式上,因为从一般意义上讲,说英语或其他自然语言的能力只是人类在世界其他地方兴起的严重区别特征使人类成为知识分子。为了我们的研究目的,我们认为自然语言是完全独立于这些符号的物理性质的自然形成的符号系统。这比通用的自然语言定义要笼统一些。如果我们想构建同样强大的人工智能,那么大脑中自然语言处理的原理对我们而言至关重要。我们从人脑神经元和神经网络的特征入手,逐步创建人脑网络的计算机模型,该模型能够处理并产生合理的语音。我们研究的主要目的是揭示共同作用的微小单个神经元如何产生类似于智力的行为,并根据当前情况在适当的语音理解和产生中展现自己。

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