The Influence Of Non-target Self-related Information On Visual Working Memory

As a prominent social stimulus,self-related information has strong attention priority.Even if it has nothing to do with the task,it will be given priority by our cognitive system.As a system with limited capacity,visual working memory can retain visual information in a short time.The attention priority of non-target self-related information may increase the possibility of being stored in visual working memory,but it is not clear whether this kind of social prominent information is more difficult to be filtered in visual working memory system.Therefore,two EEG experiments were designed in this study,and then the lateralized change detection task paradigm was adopted.This paper intends to explore how the self-related interference item will affect the attention compared with the stranger-related interference item when it is explicitly asked to be ignored in the coding stage,and how it will affect the filtering of taskindependent stimuli in visual working memory.This study assumes that compared with stranger-related interference,self-related interference will produce stronger attention capture,and this difference is reflected in the attention distribution score of N2 pc distractor.At the same time,this kind of attention capture with stronger interference to self-correlation will make it more difficult to be filtered in visual working memory,which is reflected in the filtering efficiency of CDA.In experiment 1,the self-face and the stranger’s face were taken as interference items,and the subjects were asked to judge whether the identity of the target face in the memory sequence and the detection sequence was consistent.The results show that:(1)Compared with the low target load(1td),both interference faces(1t1d)lead to longer reaction time and lower K score,but there is no significant difference between the two interference faces(1t1d).(2)In terms of EEG indexes,both high target load(2t)and two kinds of interfering faces(1t1d)induced more negative N2 pc amplitude and CDA amplitude compared with low target load(1t);Paired-sample T-test was carried out on N2 pc distractor attention distribution score and CDA filtering efficiency of selfinterfering faces and strangers’ interfering faces,respectively.The results showed that compared with strangers’ interfering faces,N2 pc distractor attention distribution score of self-interfering faces was significantly more negative,and CDA filtering efficiency was significantly lower.The above results show that interfering with faces will damage the behavior of individuals,and compared with strangers interfering with faces,selfinterfering faces will produce stronger attention capture and occupy more attention resources.At the same time,it is less filtered in visual working memory and takes up more unnecessary storage.In experiment 2,the influence of face familiarity and biological relevance is excluded,and the neutral color rectangle is given to the identity tag information by combining the connection learning paradigm.Taking self-connection information and stranger connection information as interference terms,subjects were asked to judge whether the orientation of the target color rectangles of the memory sequence and the detection sequence were consistent.The results show that:(1)The behavior results are the same as those in Experiment 1,that is,compared with the low target load(2t),both two kinds of coupling interferences(2t2d)will lead to longer reaction time and lower K score,but there is no significant difference between the two kinds of coupling interferences(2t2d).(2)Compared with the low target load(2t),the EEG results show that both kinds of connection interference(2t2d)induce more negative N2 pc amplitude and CDA amplitude.However,different from the result of Experiment 1,there is no significant difference between the attention distribution score of N2 pc interferents and the filtration efficiency of CDA under the two combined interference conditions.The results of experiment 2 show that both kinds of connection interference produce attention capture,and they can’t be filtered in visual working memory,occupying unnecessary storage.Combined with two experiments,this study found that self-interfering faces would produce stronger attention capture and be more difficult to be filtered in visual working memory,but this attention capture effect and filtering effect did not extend to selfconnected stimuli.Bayesian factor values provide moderate evidence for the research results.These findings are of great significance for describing the interaction between self-related information and advanced cognitive regulation.