Representations in visual working memory (VWM) influence attention and gaze control in complex tasks, such as visual search, that require top-down selection to resolve stimulus competition. VWM and visual attention clearly interact, but the mechanism of that interaction is not well understood. In the research reported here, we demonstrated that in the absence of stimulus competition or goal-level biases, VWM representations of object features influence the spatiotemporal dynamics of extremely simple eye movements. The influence of VWM therefore extends into the most basic operations of the oculomotor system.
BichotN. P.SchallJ. D. (2002). Priming in macaque frontal cortex during popout visual search: Feature-based facilitation and location-based inhibition of return. Journal of Neuroscience, 22, 4675–4685.
2.
BundesenC. (1990). A theory of visual attention. Psychological Review, 97, 523–547. doi:10.1037/0033-295X.97.4.523
3.
BundesenC.HabekostT.KyllingsbaekS. (2005). A neural theory of visual attention: Bridging cognition and neurophysiology. Psychological Review, 112, 291–328. doi:10.1037/0033-295x.112.2.291
4.
DesimoneR.DuncanJ. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193–222. doi:10.1146/annurev.ne.18.030195.001205
5.
DuncanJ.HumphreysG. W. (1989). Visual search and stimulus similarity. Psychological Review, 96, 433–458. doi:10.1037// 0033-295X.96.3.433
6.
FolkC. L.RemingtonR. W.JohnstonJ. C. (1992). Involuntary covert orienting is contingent on attentional control settings. Journal of Experimental Psychology: Human Perception and Performance, 18, 1030–1044. doi:10.1037//0096-1523.18.4.1030
7.
FriesW. (1984). Cortical projections to the superior colliculus in the macaque monkey: A retrograde study using horseradish peroxidase. Journal of Comparative Neurology, 230, 55–76. doi:10.1002/cne.902300106
8.
HanS. W.KimM. S. (2009). Do the contents of working memory capture attention? Yes, but cognitive control matters. Journal of Experimental Psychology: Human Perception and Performance, 35, 1292–1302. doi:10.1037/a0016452
9.
HarrisonS. A.TongF. (2009). Decoding reveals the contents of visual working memory in early visual areas. Nature, 458, 632–635. doi:10.1038/nature07832
10.
HollingworthA.LuckS. J. (2009). The role of visual working memory (VWM) in the control of gaze during visual search. Attention, Perception, & Psychophysics, 71, 936–949. doi:10.3758/APP.71.4.936
11.
IrwinD. E.YeomansJ. M. (1986). Sensory registration and informational persistence. Journal of Experimental Psychology: Human Perception and Performance, 12, 343–360. doi: 10.1037//0096-1523.12.3.343
12.
KastnerS.UngerleiderL. G. (2000). Mechanisms of visual attention in the human cortex. Annual Review of Neuroscience, 23, 315–341. doi:10.1146/annurev.neuro.23.1.315
13.
KopeczK.SchönerG. (1995). Saccadic motor planning by integrating visual information and pre-information on neural dynamic fields. Biological Cybernetics, 73, 49–60. doi:10.1007/BF00199055
14.
LudwigC. J. H.GilchristI. D. (2002). Stimulus-driven and goal-driven control over visual selection. Journal of Experimental Psychology: Human Perception and Performance, 28, 902–912. doi:10.1037//0096-1523.28.4.902
15.
MannanS. K.KennardC.PotterD.PanY.SotoD. (2010). Early oculomotor capture by new onsets driven by the contents of working memory. Vision Research, 50, 1590–1597. doi:10.1016/j.visres.2010.05.015
16.
MarinoR. A.TrappenbergT. P.DorrisM.MunozD. P. (2012). Spatial interactions in the superior colliculus predict saccade behavior in a neural field model. Journal of Cognitive Neuroscience, 24, 315–336. doi:10.1162/jocn_ a_00139
17.
McPeekR. M.KellerE. L. (2001). Short-term priming, concurrent processing, and saccade curvature during a target selection task in the monkey. Vision Research, 41, 785–800. doi:10.1016/S0042-6989(00)00287-X
18.
MulckhuyseM.Van der StigchelS.TheeuwesJ. (2009). Early and late modulation of saccade deviations by target distractor similarity. Journal of Neurophysiology, 102, 1451–1458. doi:10.1152/jn.00068.2009
19.
MulckhuyseM.van ZoestW.TheeuwesJ. (2008). Capture of the eyes by relevant and irrelevant onsets. Experimental Brain Research, 186, 225–235. doi:10.1007/s00221-007-1226-3
20.
OliversC. N. L. (2009). What drives memory-driven attentional capture? The effects of memory type, display type, and search type. Journal of Experimental Psychology: Human Perception and Performance, 35, 1275–1291. doi:10.1037/a0013896
21.
OliversC. N. L.MeijerF.TheeuwesJ. (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. doi:10.1037/0096-1523.32.5.1243
22.
SerencesJ. T.EsterE. F.VogelE. K.AwhE. (2009). Stimulus-specific delay activity in human primary visual cortex. Psychological Science, 20, 207–214. doi:10.1111/j.1467-9280.2009.02276.x
23.
SotoD.HeinkeD.HumphreysG. W.BlancoM. J. (2005). Early, involuntary top-down guidance of attention from working memory. Journal of Experimental Psychology: Human Perception and Performance, 31, 248–261. doi:10.1037/ 0096-1523.31.2.248
24.
SotoD.HumphreysG. W.HeinkeD. (2006). Working memory can guide pop-out search. Vision Research, 46, 1010–1018. doi:10.1016/j.visres.2005.09.008
25.
StantonG. B.BruceC. J.GoldbergM. E. (1995). Topography of projections to posterior cortical areas from the macaque frontal eye fields. Journal of Comparative Neurology, 353, 291–305. doi:10.1002/cne.903530210
26.
TrappenbergT. P.DorrisM. C.MunozD. P.KleinR. M. (2001). A model of saccade initiation based on the competitive integration of exogenous and endogenous signals in the superior colliculus. Journal of Cognitive Neuroscience, 13, 256–271. doi:10.1162/089892901564306
27.
van ZoestW.DonkM.TheeuwesJ. (2004). The role of stimulus-driven and goal-driven control in saccadic visual selection. Journal of Experimental Psychology: Human Perception and Performance, 30, 746–759. doi:10.1037/0096-1523.30.4.746
28.
WalkerR.KentridgeR. W.FindlayJ. M. (1995). Independent contributions of the orienting of attention, fixation offset and bilateral stimulation on human saccadic latencies. Experimental Brain Research, 103, 294–310. doi:10.1007/BF00231716
29.
WhiteB. J.BoehnkeS. E.MarinoR. A.IttiL.MunozD. P. (2009). Color-related signals in the primate superior colliculus. Journal of Neuroscience, 29, 12159–12166. doi:10.1523/jneurosci.1986-09.2009
30.
WilimzigC.SchneiderS.SchönerG. (2006). The time course of saccadic decision making: Dynamic field theory. Neural Networks, 19, 1059–1074. doi:10.1016/j.neunet.2006.03.003
31.
WolfeJ. M. (1994). Guided search 2.0: A revised model of visual search. Psychonomic Bulletin & Review, 1, 202–238. doi:10.3758/bf03200774
32.
YoonJ. H.CurtisC. E.D’EspositoM. (2006). Differential effects of distraction during working memory on delay-period activity in the prefrontal cortex and the visual association cortex. NeuroImage, 29, 1117–1126. doi:10.1016/j.neuroimage.2005.08.024
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