Abstract: PURPOSE: Neurons in primary visual cortex are organized into multiple functional maps. Self-organization model is highly consistent with the experiment results in some aspect. We applied experimental data with self-organization model and established the interface between experimental data and theoretical model for further study of mechanism in brain function map.
METHODS: Self-organization model(SOM). SOM can simulate multiple functional maps in primary visual cortex of different species. Optical Imaging. Wavelengths for illuminant were 540nm(green) and 627nm(red).
RESULTS: Function map in primary visual cortex of different species (cat, monkey, ferret) can be substituted into SOM and stayed stable by adjusting the model parameters and ratio of experimental map. The prefered orientation maps obtained at 540nm with heavy vascular artifacts can be corrected by the model, the results were consistent with maps in 627nm.The low signal-to-noise ratio in functional maps with less repetitions imaging function image can be enhanced by SOM and also confirmed by experiment.
CONCLUSIONS: The self-organizing model was substitutable and compatible among different species. SOM had the ability to modify vascular artifact and noise.

Key words: Self-organization model, Optical Imaging, Functional Map, Vascular Artifact, Signal to Noise Ratio