Task-dependent modulation of word processing mechanisms during modified visual search tasks

REFERENCES

• Baccino, T., & Manunta, Y. (2005). Eye-fixation-related potentials: Insight into parafoveal processing. Journal of Psychophysiology, 19, 204–215. doi: 10.1027/0269-8803.19.3.204
   Google Scholar
• Barber, H. A., Ben-Zvi, S., Bentin, S., & Kutas, M. (2011). Parafoveal perception during sentence reading? An ERP paradigm using rapid serial visual presentation (RSVP) with flankers. Psychophysiology, 48, 523–531. doi: 10.1111/j.1469-8986.2010.01082.x
   Google Scholar
• Barber, H. A., & Kutas, M. (2007). Interplay between computational models and cognitive electrophysiology in visual word recognition. Brain Research Reviews, 53, 98–123. doi: 10.1016/j.brainresrev.2006.07.002
   Google Scholar
• Barber, H. A., Van der Meij, M., & Kutas, M. (2013). An electrophysiological analysis of contextual and temporal constraints on parafoveal word processing. Psychophysiology, 50, 48–59. doi: 10.1111/j.1469-8986.2012.01489.x
   Google Scholar
• Becker, S. I. (2011). Determinants of dwell time in visual search: Similarity or perceptual difficulty? PloS One, 6, e17740. doi: 10.1371/journal.pone.0017740
   Google Scholar
• Belke, E., Humphreys, G. W., Watson, D. G., Meyer, A. S., & Telling, A. L. (2008). Top-down effects of semantic knowledge in visual search are modulated by cognitive but not perceptual load. Perception & Psychophysics, 70, 1444–1458. doi: 10.3758/PP.70.8.1444
   Google Scholar
• Blanchet, S., Gagnon, G., & Bastien, C. (2007). Event-related potential study of dynamic neural mechanisms of semantic organizational strategies in verbal learning. Brain Research, 1170, 59–70. doi: 10.1016/j.brainres.2007.07.024
   Google Scholar
• Boot, I., & Pecher, D. (2008). Word recognition is affected by the meaning of orthographic neighbours: Evidence from semantic decision tasks. Language and Cognitive Processes, 23, 375–393. doi: 10.1080/01690960701527317
   Google Scholar
• Coles, M. G. H., & Rugg, M. D. (1995). Event-related brain potentials: An introduction. In M. D. Rugg & M. G. Coles (Eds.), Electrophysiology of mind: Event-related brain potentials and cognition (pp. 1–26). Oxford: Oxford University Press.
   Google Scholar
• Cristescu, T. C., & Nobre, A. C. (2008). Differential modulation of word recognition by semantic and spatial orienting of attention. Journal of cognitive neuroscience, 20, 787–801. doi: 10.1162/jocn.2008.20503
   Google Scholar
• Dambacher, M., Kliegl, R., Hofmann, M., & Jacobs, A. M. (2006). Frequency and predictability effects on event-related potentials during reading. Brain Research, 1084, 89–103. doi: 10.1016/j.brainres.2006.02.010
   Google Scholar
• Dampuré, J., Ros, C., Rouet, J.-F., & Vibert, N. (2014). Task-dependent sensitization of perceptual and semantic processing during visual search for words. Journal of Cognitive Psychology, 26, 530–549. doi: 10.1080/20445911.2014.907576
   Google Scholar
• Deco, G., & Zihl, J. (2006). The neurodynamics of visual search. Visual Cognition, 14, 1006–1024. doi: 10.1080/13506280500195425
   Google Scholar
• Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193–222. doi: 10.1146/annurev.ne.18.030195.001205
   Google Scholar
• Federmeier, K. D., Mai, H., & Kutas, M. (2005). Both sides get the point: Hemispheric sensitivities to sentential constraint. Memory & Cognition, 33, 871–886. doi: 10.3758/BF03193082
   Google Scholar
• Findlay, J. M., & Gilchrist, I. D. (2005). Eye guidance and visual search. In G. Underwood (Ed.), Cognitive processes in eye guidance (pp. 251–281). Oxford: Oxford University Press.
   Google Scholar
• Folstein, J. R., & Van Petten, C. (2008). Influence of cognitive control and mismatch on the N2 component of the ERP: a review. Psychophysiology, 45, 467–479. doi: 10.1111/j.1469-8986.2007.00628.x
   Google Scholar
• Franklin, M. S., Dien, J., Neely, J. H., Huber, E., & Waterson, L. D. (2007). Semantic priming modulates the N400, N300, and N400RP. Clinical Neurophysiology, 118, 1053–1068. doi: 10.1016/j.clinph.2007.01.012
   Google Scholar
• Grainger, J., & Jacobs, A. M. (1996). Orthographic processing in visual word recognition: A multiple read-out model. Psychological Review, 103, 518–565. doi: 10.1037/0033-295X.103.3.518
   Google Scholar
• Grainger, J., & Whitney, C. (2004). Does the huamnmnidraedwrods as a wlohe? Trends in Cognitive Sciences, 8, 58–59. doi: 10.1016/j.tics.2003.11.006
   Google Scholar
• Harris, C. R., & Pashler, H. (2004). Attention and the processing of emotional words and names: Not so special after all. Psychological Science, 15, 171–178. doi: 10.1111/j.0956-7976.2004.01503005.x
   Google Scholar
• Hauk, O., Davis, M. H., Ford, M., Pulvermüller, F., & Marslen-Wilson, W. D. (2006). The time course of visual word recognition as revealed by linear regression analysis of ERP data. NeuroImage, 30, 1383–1400. doi: 10.1016/j.neuroimage.2005.11.048
   Google Scholar
• Huettig, F., Olivers, C. N. L., & Hartsuiker, R. J. (2011). Looking, language and memory: Bridging research from the visual world and visual search paradigms. Acta Psychologica, 137, 138–150. doi: 10.1016/j.actpsy.2010.07.013
   Google Scholar
• Kenemans, J. L., Kok, A., & Smulders, F. T. Y. (1993). Event-related potentials to conjunctions of spatial frequency and orientation as a function of stimulus parameters and response requirements. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 88, 51–63. doi: 10.1016/0168-5597(93)90028-N
   Google Scholar
• Kiefer, M., & Martens, U. (2010). Attentional sensitization of unconscious cognition: Task sets modulate subsequent masked semantic priming. Journal of Experimental Psychology: General, 139, 464–489. doi: 10.1037/a0019561
   Google Scholar
• Kutas, M., & Federmeier, K. D. (2011). Thirty years and counting: finding meaning in the N400 component of the event-related brain potential (ERP). Annual Review of Psychology, 62, 621–647. doi: 10.1146/annurev.psych.093008.131123
   Google Scholar
• Lee, C. Y., Liu, Y. N., & Tsai, J. L. (2012). The time course of contextual effects on visual word recognition. Frontiers in Psychology, 3, 1–13.
   Google Scholar
• Léger, L., Rouet, J.-F., Ros, C., & Vibert, N. (2012). Orthographic versus semantic matching in visual search for words within lists. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, 66, 32–43. doi: 10.1037/a0026111
   Google Scholar
• Lei, Y., Li, F., Long, C., Li, P., Chen, Q., Ni, Y., & Li, H. (2010). How does typicality of category members affect the deductive reasoning? An ERP study. Experimental Brain Research, 204, 47–56. doi: 10.1007/s00221-010-2292-5
   Google Scholar
• Luck, S. J., & Hillyard, S. A. (1994). Electrophysiological correlates of feature analysis during visual search. Psychophysiology, 31, 291–308. doi: 10.1111/j.1469-8986.1994.tb02218.x
   Google Scholar
• Medin, D. L., & Smith, E. E. (1984). Concepts and concept formation. Annual Review of Psychology, 35, 113–138. doi: 10.1146/annurev.ps.35.020184.000553
   Google Scholar
• Meyer, A. S., Belke, E., Telling, A. L., & Humphreys, G. W. (2007). Early activation of object names in visual search. Psychonomic Bulletin & Review, 14, 710–716. doi: 10.3758/BF03196826
   Google Scholar
• Moores, E., Laiti, L., & Chelazzi, L. (2003). Associative knowledge controls deployment of visual selective attention. Nature Neuroscience, 6, 182–189. doi: 10.1038/nn996
   Google Scholar
• Olivers, C. N., Meijer, F., & Theeuwes, J. (2006). Feature-based memory-driven attentional capture: Visual working memory content affects visual attention. Journal of Experimental Psychology: Human Perception and Performance, 32, 1243–1265.
   Google Scholar
• Potts, G. F., Liotti, M., Tucker, D. M., & Posner, M. I. (1996). Frontal and inferior temporal cortical activity in visual target detection: Evidence from high spatially sampled event-related potentials. Brain Topography, 9, 3–14. doi: 10.1007/BF01191637
   Google Scholar
• Potts, G. F., Patel, S. H., & Azzam, P. N. (2004). Impact of instructed relevance on the visual ERP. International Journal of Psychophysiology, 52, 197–209. doi: 10.1016/j.ijpsycho.2003.10.005
   Google Scholar
• Potts, G. F., & Tucker, D. M. (2001). Frontal evaluation and posterior representation in target detection. Cognitive Brain Research, 11, 147–156. doi: 10.1016/S0926-6410(00)00075-6
   Google Scholar
• Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124, 372–422. doi: 10.1037/0033-2909.124.3.372
   Google Scholar
• Rayner, K. (2009). Eye movements and attention in reading, scene perception and visual search. The Quarterly Journal of Experimental Psychology, 62, 1457–1506. doi: 10.1080/17470210902816461
   Google Scholar
• Rayner, K., & Fischer, M. H. (1996). Mindless reading revisited: Eye movements during reading and scanning are different. Perception & Psychophysics, 58, 734–747. doi: 10.3758/BF03213106
   Google Scholar
• Rayner, K., & Raney, G. E. (1996). Eye movement control in reading and visual search: Effects of word frequency. Psychonomic Bulletin & Review, 3, 245–248. doi: 10.3758/BF03212426
   Google Scholar
• Rodd, J. M. (2004). When do leotards get their spots? Semantic activation of lexical neighbors in visual word recognition. Psychonomic Bulletin & Review, 11, 434–439. doi: 10.3758/BF03196591
   Google Scholar
• Rosch, E. (1975). Cognitive representation of semantic categories. Journal of Experimental Psychology: General, 104, 192–233. doi: 10.1037/0096-3445.104.3.192
   Google Scholar
• Rugg, M. D., & Coles, M. G. (1995). The ERP and cognitive psychology: conceptual issues. In M. D. Rugg & M. G. Coles (Eds.), Electrophysiology of mind: Event-related brain potentials and cognition (pp. 27–39). Oxford: Oxford University Press.
   Google Scholar
• Ruz, M., Madrid, E., Lupiañez, J., & Tudela, P. (2003). High density ERP indices of conscious and unconscious semantic priming. Cognitive Brain Research, 17, 719–731. doi: 10.1016/S0926-6410(03)00197-6
   Google Scholar
• Soto, D., & Humphreys, G. W. (2007). Automatic guidance of visual attention from verbal working memory. Journal of Experimental Psychology: Human Perception and Performance, 33, 730–737.
   Google Scholar
• Thornton, T., & Gilden, D. L. (2007). Parallel and serial processes in visual search. Psychological Review, 114, 71–103. doi: 10.1037/0033-295X.114.1.71
   Google Scholar
• Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97–136. doi: 10.1016/0010-0285(80)90005-5
   Google Scholar
• Whitney, P., & Kellas, G. (1984). Processing category terms in context: Instantiation and the structure of semantic categories. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 95–103.
   Google Scholar
• Wolfe, J. M. (1994). Guided Search 2.0: A revised model of visual search. Psychonomic Bulletin and Review, 1, 202–238. doi: 10.3758/BF03200774
   Google Scholar
• Wolfe, J. M. (2007). Guided Search 4.0: Current Progress with a model of visual search. In W. Gray (Ed.), Integrated models of cognitive systems (pp. 99–119). New York: Oxford University Press.
   Google Scholar
• Zelinsky, G. J. (2008). A theory of eye movements during target acquisition. Psychological Review, 115, 787–835. doi: 10.1037/a0013118
   Google Scholar