Temporal Brain Dynamics of Multiple Object Processing: The Flexibility of Individuation

The ability to process concurrently multiple visual objects is fundamental for a coherent perception of the world. A core component of this ability is the simultaneous individuation of multiple objects. Many studies have addressed the mechanism of object individuation but it remains unknown whether the visual system mandatorily individuates all relevant elements in the visual field, or whether object indexing depends on task demands. We used a neural measure of visual selection, the N2pc component, to evaluate the flexibility of multiple object individuation. In three ERP experiments, participants saw a variable number of target elements among homogenous distracters and performed either an enumeration task (Experiment 1) or a detection task, reporting whether at least one (Experiment 2) or a specified number of target elements (Experiment 3) was present. While in the enumeration task the N2pc response increased as a function of the number of targets, no such modulation was found in Experiment 2, indicating that individuation of multiple targets is not mandatory. However, a modulation of the N2pc similar to the enumeration task was visible in Experiment 3, further highlighting that object individuation is a flexible mechanism that binds indexes to object properties and locations as needed for further object processing.

[1]  Philippe Pinel,et al.  Tuning Curves for Approximate Numerosity in the Human Intraparietal Sulcus , 2004, Neuron.

[2]  Benoit Brisson,et al.  Dissociation of the N2pc and sustained posterior contralateral negativity in a choice response task , 2008, Brain Research.

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

[4]  G. Woodman,et al.  The role of attention in the binding of surface features to locations , 2009, Visual cognition.

[5]  S. Luck,et al.  Neural sources of focused attention in visual search. , 2000, Cerebral cortex.

[6]  Martin Eimer,et al.  Cortico-cortical interactions in spatial attention: A combined ERP/TMS study. , 2006, Journal of neurophysiology.

[7]  M. Eimer The N2pc component as an indicator of attentional selectivity. , 1996, Electroencephalography and clinical neurophysiology.

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

[9]  Martin Eimer,et al.  The N2pc component and its links to attention shifts and spatially selective visual processing. , 2008, Psychophysiology.

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

[11]  Z. Pylyshyn Some primitive mechanisms of spatial attention , 1994, Cognition.

[12]  Nicolas Robitaille,et al.  On the control of visual spatial attention: evidence from human electrophysiology , 2006, Psychological research.

[13]  P. Jolicoeur,et al.  Fundamental properties of the N2pc as an index of spatial attention: effects of masking. , 2006, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[14]  Jöran Lepsien,et al.  Searching for Targets within the Spatial Layout of Visual Short-Term Memory , 2009, The Journal of Neuroscience.

[15]  S. Luck,et al.  Electrophysiological correlates of feature analysis during visual search. , 1994, Psychophysiology.

[16]  Martin Eimer,et al.  Involuntary Attentional Capture is Determined by Task Set: Evidence from Event-related Brain Potentials , 2008, Journal of Cognitive Neuroscience.

[17]  A. Caramazza,et al.  An electrophysiological assessment of distractor suppression in visual search tasks. , 2009, Psychophysiology.

[18]  Yaoda Xu,et al.  Distinctive Neural Mechanisms Supporting Visual Object Individuation and Identification , 2009, Journal of Cognitive Neuroscience.

[19]  Brian Butterworth,et al.  Discrete and analogue quantity processing in the parietal lobe: a functional MRI study. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[20]  What enumeration studies can show us about spatial attention: evidence for limited capacity preattentive processing. , 1993 .

[21]  H. Davis,et al.  Numerical competence in animals: Definitional issues, current evidence, and a new research agenda , 1988, Behavioral and Brain Sciences.

[22]  Z. Pylyshyn The role of location indexes in spatial perception: A sketch of the FINST spatial-index model , 1989, Cognition.

[23]  Jason T. Arita,et al.  A cuing study of the N2pc component: An index of attentional deployment to objects rather than spatial locations , 2009, Brain Research.

[24]  Pierre Jolicoeur,et al.  Tracking the Location of Visuospatial Attention in a Contingent Capture Paradigm , 2008, Journal of Cognitive Neuroscience.

[25]  G. Woodman,et al.  Dissociations Among Attention, Perception, and Awareness During Object-Substitution Masking , 2003, Psychological science.

[26]  Z. Pylyshyn,et al.  Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. , 1994, Psychological review.

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

[28]  B. Scholl Objects and attention: the state of the art , 2001, Cognition.

[29]  M. Chun,et al.  Dissociable neural mechanisms supporting visual short-term memory for objects , 2006, Nature.

[30]  Z. Pylyshyn,et al.  What enumeration studies can show us about spatial attention: evidence for limited capacity preattentive processing. , 1993, Journal of experimental psychology. Human perception and performance.

[31]  E. J. Carter,et al.  Functional Imaging of Numerical Processing in Adults and 4-y-Old Children , 2006, PLoS biology.

[32]  Carlo Umiltà,et al.  Attentional selection and identification of visual objects are reflected by distinct electrophysiological responses , 2007, Experimental Brain Research.

[33]  Manuela Piazza,et al.  How Humans Count: Numerosity and the Parietal Cortex , 2009, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[34]  S. Dehaene,et al.  Interactions between number and space in parietal cortex , 2005, Nature Reviews Neuroscience.

[35]  Stanislas Dehaene,et al.  Distinct Cerebral Pathways for Object Identity and Number in Human Infants , 2008, PLoS biology.

[36]  Timothy Edward John Behrens,et al.  Response-Selection-Related Parietal Activation during Number Comparison , 2004, Journal of Cognitive Neuroscience.

[37]  Nicolas Robitaille,et al.  Attentional and anatomical considerations for the representation of simple stimuli in visual short-term memory: evidence from human electrophysiology , 2009, Psychological research.

[38]  Alfonso Caramazza,et al.  Attention selection, distractor suppression and N2pc , 2009, Cortex.

[39]  D. Kahneman,et al.  The reviewing of object files: Object-specific integration of information , 1992, Cognitive Psychology.

[40]  L. Feigenson,et al.  Multiple Spatially Overlapping Sets Can Be Enumerated in Parallel , 2006, Psychological science.

[41]  A. Nieder Counting on neurons: the neurobiology of numerical competence , 2005, Nature Reviews Neuroscience.

[42]  M. Chun,et al.  Selecting and perceiving multiple visual objects , 2009, Trends in Cognitive Sciences.

[43]  Z. Pylyshyn Visual indexes, preconceptual objects, and situated vision , 2001, Cognition.

[44]  Z. Pylyshyn,et al.  Dynamics of target selection in multiple object tracking (MOT). , 2006, Spatial vision.

[45]  Yaoda Xu,et al.  Visual grouping in human parietal cortex , 2007, Proceedings of the National Academy of Sciences.

[46]  V. Walsh,et al.  The parietal cortex and the representation of time, space, number and other magnitudes , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

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

[48]  S. Luck,et al.  How does attention attenuate target-distractor interference in vision?. Evidence from magnetoencephalographic recordings. , 2002, Brain research. Cognitive brain research.

[49]  Patrice D. Tremoulet,et al.  Indexing and the object concept: developing `what' and `where' systems , 1998, Trends in Cognitive Sciences.