The perceptual interference effect is the finding that prior exposures to a more degraded stimulus compromise the identification on a less degraded version of the stimulus later. Up to now, there are two influential theories which explain this effect: competition explanations (Bruner & Potter, 1964; Luo & Snodgrass, 1994; Snodgrass & Hirshman, 1991) and mismatch explanations (Wang & Reinitz, 2001). The prominent P2, P3,N400 and LPC were elicited under the experimental conditions. The amplitude of P2, P3 and LPC were significantly larger in the standard condition than in the incremental condition. The incremental condition elicited a more negative ERP deflection than did the standard condition in the 350~500 ms (N400) time window around the midline centroparietal recording sites. In addition, we found no significant differences in the 350~500 ms (N400) time window among the consecutive blurredness Levels during the incremental condition.The results indicates that perceptual interference occurs at early stages of the incremental condition and it yields an enduring inhibition, during which, the inhibition does not seem to change in magnitude. Therefore, the present results are consistent with the mismatch explanation. In addition, the study results are also consistent with the view that the N400 is sensitive to a lexical process.
GAO WENHUAN.
An ERP Study on The Perceptual Interference Effect[J]. Journal of Psychological Science. 2012, 35(2): 270-275
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
Bruner, J. S., & Potter, M. C. (1964). Interference in visual recognition. Science, 144, 424-425.
Browm, C. M., & Hagoort, P. (1993). The processing nature of the N400: evidence from masked priming. J Cogn Neurosci, 5, 34–44.
Statisics and analysis of Mandarin Chinese vocabulary(in Chinese). (1986). Beijing: Beijing Language Institute Press.
[现代汉语频率词典. (1986). 北京:北京语言学院出版社.]
Carpenter, G. A., & Grossberg, S. (1986). Adaptive resonance theory: Stable self- organization of neural recognition codes in response to arbitrary lists of input patterns. In Program of the Eighth Annual Conference of the Cognitive Science Society. Hillsdale , NJ : Erlbaum, 45–62.
Deacon, D., Hewitt, S., & Yang, C.H., et al. (2000). Event-related potential indices of semantic priming using masked and unmasked words: evidence that the N400 does not reflect a post-lexical process. Cognitive Brain Research, 9, 137–146.
Frishkoff, G. A. (2007). Hemispheric differences in strong versus weak semantic priming: Evidence from event-related brain potentials. Brain Lang, 100, 23–43。
Galloway, D. W. (1946). An experimental investigation of structural lag in perception [Abstract]. American Psychologist,1, 450.
Gibson, J. M., & Watkins, M. J. (1991). An Auditory Cue-Depreciation Effect. The American Journal of Psychology, 104 (3), 439.
Grossberg, S. (1976). Adaptive pattern classification and universal recoding, II: Feedback, expectation, olfaction, and illusion. Biological Cybernetics, 23, 187–202
Goldstein, A., Spencer, K. M. & Donchin, E. (2002). The influence of stimulus deviance and novelty on the P300 and Novelty P3. Psychophysiology, 39(6), 781–790.
He, H. D., & Jiao, S. L. (1994). Part-set cuing effect in visual identification. Acta Psychologica Sinica,26(3),264–271.
[何海东, 焦书兰. (1994). 图形和汉字视觉任务中的部分线索效应的研究. 心理学报, 26 (3), 264–271.]
Hillyard, S. A., Squires, K. C., & Bauer, J. W., et al. (1971). Evoked potential correlates of auditory signal detection. Science,172, 1357–1360.
J. Bruno Debruille. (1998). knowledge inhibition and N400: A study with words that look like common words. Brain snd Language, 62, 202–220.
Jonides J. Voluntary vs. automatic control over the mind's eye's movement. In: JB Long, A.D.Baddeley (Eds), Attention and performance IX. Hillsdale, NJ: Erlbaum, 1981,187–203.
Kutas, M., & Hillyard, S. A. (1980). Reading senseless sentences: brain potentials reflect semantic incongruity. Science, 207 (4427), 203–205.
Kiefer, M., & Spitzer, M. (2000). Time course of conscious and unconscious semantic brain activations. NeuroReport, 11, 2401–2407.
Luo, C. H. R., & Snodgrass, J. G. (1994). Competitive Activation Model of Perceptual Interference in picture and word identification. Journal of Experimental Psychology: Human Perception and Performance, 20 (1) ,50–60.
Li, F. F. , & Wang, Q. H. (2007). The role of study, frequency and structural style in the perception interference effect on Chinese characters (in Chinese). Psychological Science, 30(3), 547–551.
[李菲菲, 王权红. (2007). 学习,频率和结构方式对汉字知觉线索毁损效应的影响. 心理科学, 30 (3), 547–551.]
Li, F. F. , & Wang, Q. H. (2008). How starting point of blurred cues and viewing time influence the perception interference effect on Chinese characters (in Chinese). Psychological Science, 31(5), 1176–1180.
[李菲菲, 王权红. (2008). 线索起点模糊水平和注视时间对汉字知觉干扰效应的影响. 心理科学, 31 (5), 1176–1180.]
McCarthy, G., & Nobre, A. (1993). Modulation of semantic processing by spatial selective attention. Electroenceph clin Neurophysiol, 88, 210–219.
McCormick, P. A. (1997). Orienting attention without awareness.Journal of Experimental Psychology:Human Perception and Performance, 23(1), 168–180.
Peynircioglu, Z. F. (1990). Amount of priming and the cue depreciation effect. Bulletin of the Psychonomic Society, 28, 393–394.
Peynircioglu, Z. F., & Watkins, M. C. (1986). Cue depreciation: When word fragment completion is undermined by prior exposure of lesser fragments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 426–431.
Pesciarelli, F., Kutas, M., & Dell’Acqua, R., et al. (2007). Semantic and repetition priming within the attentional blink: An event-related brain potential (ERP) investigation study. Biol Psychol, 76, 21–30.
Snodgrass, J. G., & Hirshman, E. (1991). Theoretical explorations of the Bruner-Potter (1964) interference effect. Journal of Memory and Language, 30, 273–293.
Schulkind, M. D. (2002). Feature modulation search: A novel memory search model that extends the perceptual interference effect to musical stimuli. Journal of Experimental Psychology : Learning , Memory and Cognition, 28, 346–352.
Schulkind, M. D. (2004). Conceptual and perceptual information both influence melody identification. Memory & Cognition, 32, 841–851.
Thapar, A., & Greene, R. L. (1995). A st rategic account of the cue-depreciation effect. Canadian Journal of Experimental Psychology, 49 (4), 513–519.
Thorpe, S., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381, 520–522.
Van Petten.C., & Kutas, M. (1991). Electrophysiological evidence for the flexibility of lexical processing. In G. Simpson (Ed.), Word and sentence, (pp.129-174). Amsterdam: North Holland Press.
Wang, Q. H., & Reinitz, M .T. (2001). Effects of the number and st rength of competing solutions on the Perceptual Interference Effect. Journal of Experimental Psychology : Human Perception and Performance, 27 (1), 22–31.
Wang, Q. H., Li, F. F., & He, M. (2007). Comparisons of activation Levels of object picture and chinese words, and of their perceptual interence effects (in Chinese). Psychological Science, 31(5), 1176–1180.
[王权红, 李菲菲, 何敏. (2007). 图片和汉字激活水平与知觉干扰效应的比较. 心理科学, 30 (2) , 332–336.]
Zhang, Y. H., & Guo, C.Y. (2008). An ERP study on the relationship between Perceptual and semantic representation (in Chinese). Chinese Science Bulletin, 53(24), 3086–3095.
[张运红, 郭春彦. (2008). 知觉和语义表征关系ERP研究. 科学通报,53(24), 3086–3095.]