Successful training of filtering mechanisms in multiple object tracking does not transfer to filtering mechanisms in a visual working memory task: Behavioral and electrophysiological evidence

In this training study, we aimed to selectively train participants' filtering mechanisms to enhance visual working memory (WM) efficiency. The highly restricted nature of visual WM capacity renders efficient filtering mechanisms crucial for its successful functioning. Filtering efficiency in visual WM can be measured via the lateralized change detection task with distractors. From an array of items, only a subsample must be memorized (targets), whereas distractors must be filtered out. From the EEG recorded while items are maintained in memory, slow potentials over posterior recording sides can be extracted. In addition, the contralateral delay activity (CDA) can be calculated as the difference wave between contralateral and ipsilateral slow potentials. As the amplitudes of contralateral slow potentials and CDA reflect the number of remembered items, one can infer if distractors were filtered out. Efficient filtering mechanisms are also highly important in multiple object tracking (MOT). We trained participants' filtering ability with the aid of this latter task. Filtering in both tasks is assumed to happen via allocation of selective attention. We observed large training-induced improvements in MOT. However, these improvements did not transfer to improved filtering mechanisms in the change detection task. Instead, we obtained suggestive evidence for an overall improvement in filtering mechanisms in the change detection task for both the training and control group. Apparently, there exist differences in the exact nature of filtering mechanisms that operate in change detection and MOT.

[1]  Peter McGeorge,et al.  Multiple-Target Tracking: A Role for Working Memory? , 2006, Quarterly journal of experimental psychology.

[2]  C. S. Green,et al.  Enumeration versus multiple object tracking: the case of action video game players , 2006, Cognition.

[3]  Z. Pylyshyn,et al.  Selective nontarget inhibition in Multiple Object Tracking , 2008 .

[4]  N. Cowan The magical number 4 in short-term memory: A reconsideration of mental storage capacity , 2001, Behavioral and Brain Sciences.

[5]  Alexandra B. Morrison,et al.  Does working memory training work? The promise and challenges of enhancing cognition by training working memory , 2011, Psychonomic bulletin & review.

[6]  P. Cavanagh,et al.  Tracking multiple targets with multifocal attention , 2005, Trends in Cognitive Sciences.

[7]  H Hämäläinen,et al.  Visuospatial mnemonic load modulates event‐related slow potentials , 1997, Neuroreport.

[8]  E. Vogel,et al.  Human Variation in Overriding Attentional Capture , 2009, The Journal of Neuroscience.

[9]  J Saarinen,et al.  The effect of exposure duration on the analysis of spatial structure in eccentric vision. , 1988, Spatial vision.

[10]  Susanne M. Jaeggi,et al.  Improving fluid intelligence with training on working memory: a meta-analysis , 2008, Psychonomic Bulletin & Review.

[11]  Z. Pylyshyn Some puzzling findings in multiple object tracking: I. Tracking without keeping track of object identities , 2004 .

[12]  Hubert D. Zimmer,et al.  What Does Ipsilateral Delay Activity Reflect? Inferences from Slow Potentials in a Lateralized Visual Working Memory Task , 2011, Journal of Cognitive Neuroscience.

[13]  J. G. Hollands,et al.  Confidence intervals in repeated-measures designs: The number of observations principle. , 2009, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[14]  J. Grafman,et al.  Distinctions and similarities among working memory processes: an event-related potential study. , 1992, Brain research. Cognitive brain research.

[15]  A. A. Wijers,et al.  An event-related brain potential correlate of visual short-term memory. , 1999, Neuroreport.

[16]  Hubert D. Zimmer,et al.  Common coding of auditory and visual spatial information in working memory , 2008, Brain Research.

[17]  Tom Troscianko,et al.  Optimal feature integration in visual search. , 2009, Journal of vision.

[18]  Z. Pylyshyn Some puzzling findings in multiple object tracking (MOT): II. Inhibition of moving nontargets , 2006 .

[19]  E. Vogel,et al.  Neural Measures of Individual Differences in Selecting and Tracking Multiple Moving Objects , 2008, The Journal of Neuroscience.

[20]  D. Somers,et al.  Effects of target enhancement and distractor suppression on multiple object tracking capacity. , 2009, Journal of vision.

[21]  J. Wolfe,et al.  Tracking unique objects , 2007, Perception & psychophysics.

[22]  Maro G. Machizawa,et al.  Neural measures reveal individual differences in controlling access to working memory , 2005, Nature.

[23]  T. Klingberg Training and plasticity of working memory , 2010, Trends in Cognitive Sciences.

[24]  T. Horowitz,et al.  Attentional enhancement during multiple-object tracking , 2009, Psychonomic bulletin & review.

[25]  B. Scholl What Have We Learned about Attention from Multiple-Object Tracking (and Vice Versa)? , 2009 .

[26]  G. Woodman,et al.  Storage of features, conjunctions and objects in visual working memory. , 2001, Journal of experimental psychology. Human perception and performance.

[27]  E Donchin,et al.  A new method for off-line removal of ocular artifact. , 1983, Electroencephalography and clinical neurophysiology.

[28]  J. Hyönä,et al.  Is multiple object tracking carried out automatically by an early vision mechanism independent of higher‐order cognition? An individual difference approach , 2004 .

[29]  E. Vogel,et al.  Contralateral delay activity provides a neural measure of the number of representations in visual working memory. , 2010, Journal of neurophysiology.

[30]  Nicolas Robitaille,et al.  Distinguishing between lateralized and nonlateralized brain activity associated with visual short-term memory: fMRI, MEG, and EEG evidence from the same observers , 2010, NeuroImage.

[31]  R. Engle,et al.  Individual differences in working memory capacity and what they tell us about controlled attention, general fluid intelligence, and functions of the prefrontal cortex. , 1999 .

[32]  P. Jolicoeur,et al.  Bilateral parietal and contralateral responses during maintenance of unilaterally encoded objects in visual short-term memory: evidence from magnetoencephalography. , 2009, Psychophysiology.

[33]  Lars Bäckman,et al.  Transfer of Learning After Updating Training Mediated by the Striatum , 2008, Science.

[34]  C. Eriksen,et al.  Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .

[35]  A. Mecklinger,et al.  Event-related potentials reveal topographical and temporal distinct neuronal activation patterns for spatial and object working memory. , 1996, Brain research. Cognitive brain research.

[36]  R. Marois,et al.  Distinct Capacity Limits for Attention and Working Memory , 2006, Psychological science.

[37]  Edward Awh,et al.  The bouncer in the brain , 2008, Nature Neuroscience.

[38]  M. Masson,et al.  Using confidence intervals in within-subject designs , 1994, Psychonomic bulletin & review.

[39]  T. Klingberg,et al.  Increased prefrontal and parietal activity after training of working memory , 2004, Nature Neuroscience.

[40]  S. Geisser,et al.  On methods in the analysis of profile data , 1959 .

[41]  Peter McGeorge,et al.  Multiple-object tracking: enhanced visuospatial representations as a result of experience. , 2010, Experimental psychology.

[42]  Steven J. Luck,et al.  Visual short term memory , 2007, Scholarpedia.

[43]  Matthew M. Doran,et al.  The role of visual attention in multiple object tracking: Evidence from ERPs , 2010, Attention, perception & psychophysics.

[44]  John Jonides,et al.  How does practice makes perfect? , 2004, Nature Neuroscience.

[45]  D. Ruchkin,et al.  Working memory and preparation elicit different patterns of slow wave event-related brain potentials. , 1995, Psychophysiology.

[46]  Z W Pylyshyn,et al.  Tracking multiple independent targets: evidence for a parallel tracking mechanism. , 1988, Spatial vision.

[47]  R. Allen,et al.  Attention and expertise in multiple target tracking , 2004 .

[48]  James E. Reilly,et al.  Selective Nontarget Inhibition in Multiple Object Tracking (MOT) , 2008 .

[49]  Maro G. Machizawa,et al.  Electrophysiological Measures of Maintaining Representations in Visual Working Memory , 2007, Cortex.

[50]  J. Wolfe,et al.  Delineating the Neural Signatures of Tracking Spatial Position and Working Memory during Attentive Tracking , 2011, The Journal of Neuroscience.

[51]  Zenon W. Pylyshyn,et al.  Multiple object tracking , 2007, Scholarpedia.

[52]  Maro G. Machizawa,et al.  Neural activity predicts individual differences in visual working memory capacity , 2004, Nature.

[53]  E. Vogel,et al.  Individual Differences in Recovery Time From Attentional Capture , 2011, Psychological science.