Neural Mechanism of Language
It addresses the gap between molecular neuron mechanisms and advanced cognitive functions for neuroscience and AI researchers, but appears incremental as it builds on previous work.
The paper tackles the problem of understanding the neural basis of language and reasoning by proposing a self-organized model based on neural coding, finding that language-relevant areas are centrally positioned in the cortex and linked to consciousness and memory.
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.