迭代函数系统(IFS:Iterated Function System)是构造分形图的典型方法,本文论证IFS吸引子与参数间的依赖关系,探讨了通过参数控制算法对IFS分形图进行调整的方法,实现了直观的交互式IFS参数控制系统,有效地解决了IFS分形图构造的无方向...迭代函数系统(IFS:Iterated Function System)是构造分形图的典型方法,本文论证IFS吸引子与参数间的依赖关系,探讨了通过参数控制算法对IFS分形图进行调整的方法,实现了直观的交互式IFS参数控制系统,有效地解决了IFS分形图构造的无方向性问题,使IFS分形图对自然景物的模拟更为简易和生动。展开更多
Visual categorization can be derived from interaction between inputting features set (IFS) from outside stimuli and anticipating features set (AFS) from concept, and such interaction can take two forms: match extracti...Visual categorization can be derived from interaction between inputting features set (IFS) from outside stimuli and anticipating features set (AFS) from concept, and such interaction can take two forms: match extraction and conflict control. Us- ing ERP recording, we investigated the temporal course of visual categorization. The results indicated that the larger the AFS, the higher the amplitude of the N1 was generated, which demonstrated the effect of the AFS on the attention. When the size of the AFS was larger than or equal to 2, prominent N2 compo- nent was elicited, which demonstrated the effect of conflict when the feature of IFS mismatched with the feature of the AFS. The judgment of category was manifested on the LPC component, and this com- ponent was also sensitive to conflict control. Based on the results, we proposed that the temporal course of visual categorization was as follows: selective at- tention, feature perception, feature match/extraction and judgment of category/conflict control. Among those processes, the judgment of category is the core processing; however the former three sub-processes form the base of categorization. The results are in support of the idea that LPC is responsible for high- level categorization process.展开更多
文摘迭代函数系统(IFS:Iterated Function System)是构造分形图的典型方法,本文论证IFS吸引子与参数间的依赖关系,探讨了通过参数控制算法对IFS分形图进行调整的方法,实现了直观的交互式IFS参数控制系统,有效地解决了IFS分形图构造的无方向性问题,使IFS分形图对自然景物的模拟更为简易和生动。
基金supported by National Natural Science Foundation of China(Grant Nos.30370488&30325026)National Key Subject of Basic Psychology Southwest University,China(Grant No.XGZ04006).
文摘Visual categorization can be derived from interaction between inputting features set (IFS) from outside stimuli and anticipating features set (AFS) from concept, and such interaction can take two forms: match extraction and conflict control. Us- ing ERP recording, we investigated the temporal course of visual categorization. The results indicated that the larger the AFS, the higher the amplitude of the N1 was generated, which demonstrated the effect of the AFS on the attention. When the size of the AFS was larger than or equal to 2, prominent N2 compo- nent was elicited, which demonstrated the effect of conflict when the feature of IFS mismatched with the feature of the AFS. The judgment of category was manifested on the LPC component, and this com- ponent was also sensitive to conflict control. Based on the results, we proposed that the temporal course of visual categorization was as follows: selective at- tention, feature perception, feature match/extraction and judgment of category/conflict control. Among those processes, the judgment of category is the core processing; however the former three sub-processes form the base of categorization. The results are in support of the idea that LPC is responsible for high- level categorization process.
