Neural Mechanism of Language

TL;DR

This paper proposes a neural coding-based self-organized model to explain the neural mechanisms of language and reasoning, highlighting the importance of cortical area positioning in language-related functions.

Contribution

It introduces a neural model linking neural coding to language and reasoning, emphasizing the role of cortical area positioning in neural importance.

Findings

Language areas are in the capital position of the cortical kingdom.

Language is a miniature of the real world.

Neural mechanisms of language are explained through the model.

Abstract

This paper is based on our previous work on neural coding. It is a self-organized model supported by existing evidences. Firstly, we briefly introduce this model in this paper, and then we explain the neural mechanism of language and reasoning with it. Moreover, we find that the position of an area determines its importance. Specifically, language relevant areas are in the capital position of the cortical kingdom. Therefore they are closely related with autonomous consciousness and working memories. In essence, language is a miniature of the real world. Briefly, this paper would like to bridge the gap between molecule mechanism of neurons and advanced functions such as language and reasoning.