| Advanced cognition like aesthetic preference,emotional response and evaluation is the basic function which is used by human in their daily life.With the advanced cognitive processing,people can evaluate and think the world which they have seen.The human never stop exploring the mysteries on themselves.And the exploring on advanced cognitive processing is the key to give a deep insight on the mysteries of human.To explore the advanced cognitive processing,it is necessary to gain a deep understanding on the relationship between different brain areas when people are performing advanced cognitive processing.Using the computing methods based on brain network,we can find the relationship between different areas objectively and reliably.In our paper,our study based on the research of mathematic model of advanced cognition.We explored human advanced cognitive processing based on the computing method of brain network.And we give a deep insight into the alternation of human cognitive in different stage of advanced cognitive processing and the impact of alternation on the electroencephalography(EEG)functional brain network.The major contribution of our paper include three parts:Firstly,we used the event-related potentials(ERPs)to analyze whether people have a fast,implicit aesthetic judgement on different typeface of Chinese characters.Our research indicate that the difference in physic aspect between different typefaces of Chinese characters can also trigger the fast and implicit aesthetic evaluation made by human.We also find that in the processing of fast and implicit aesthetic evaluation,the physic aspect of typeface of Chinese characters first cause the response of human's attention and arousal.Then the attention and arousal caused by typeface of Chinese characters trigger the emotional response.Finally human make the fast and implicit aesthetic evaluation because of the emotional response caused by typeface of Chinese characters.Secondly,we used the correlation analysis method on the EEG signals and brain network to investigate the changes in emotional response to emotional pictures before and after meditation.Our experiment indicate that meditation could alleviate the emotional response toward stimuli.Participants who have meditation training have less emotional response for the emotional pictures.Our experiment on meditation also find that the brain networks on participants who have meditation training have more connections between different brain areas.This indicate that meditation have a positive effect on the information integration in human's brain.Finally,based on the previous analysis method of brain network and graph theory,we proposed a new network analysis method which based on the linear programming to segment the network into different individual areas.Using our segmentation method we could segment the brain network into different areas.By using this way we can analyze the components contained in different brain areas and have more details about the relation between areas.In our paper we applied our segmentation methods on the brain network in the meditation experiment and the 3D reconstruction of neuron clusters in neuroscience.The result of our experiment indicate that our method is valid and reliable.It not only can segment the brain networks before and after meditation to enable a detailed analysis on brain networks,but also can validly reconstruct individual neurons form multi-connected neuron cluster.The three findings above not only make us gain a deeper insight into the advanced cognitive processing,which contribute to fill the blank in the field of advance cognitive function,but also forward the research of mathematic model on the advanced cognitive processing. |
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