The Primary Representations of Color, Sound, and Shape in the Brain

We have known that in our eyes and ears, to the external stimulations there exist many cells that are respectively most sensitive to some specific center frequencies, and this paper has  discussed that the neuron system utilizes the transient response zone to represent different stimulation intensity levels, therefore we can generally use the Gaussian radial basis function model to explain that the neuron system is how to analyze the sound and color in the associated primary layer, and also can better explain some phenomena in the color cognitive behaviors. In addition, we have known that in the cerebral cortex, many small neuron groups are respectively sensitive to the different arrangement directions of line segments, and we find that the neuron system can further  extract the high-order information of a curve-line segment at the corresponding position, then as introduced later, the vison neuron system can conveniently represent a curve-line segment with an attribute-set constructed by using the polynomial radial basis function model related to the Taylor series expansion approach.