Interference with Bottom-Up Feature Detection by Higher-Level Object Recognition

Drawing portraits upside down is a trick that allows novice artists to reproduce lower-level image features, e.g., contours, while reducing interference from higher-level face cognition. Limiting the available processing time to suffice for lower- but not higher-level operations is a more general way of reducing interference. We elucidate this interference in a novel visual-search task to find a target among distractors. The target had a unique lower-level orientation feature but was identical to distractors in its higher-level object shape. Through bottom-up processes, the unique feature attracted gaze to the target. Subsequently, recognizing the attended object as identically shaped as the distractors, viewpoint invariant object recognition interfered. Consequently, gaze often abandoned the target to search elsewhere. If the search stimulus was extinguished at time T after the gaze arrived at the target, reports of target location were more accurate for shorter (T<500 ms) presentations. This object-to-feature interference, though perhaps unexpected, could underlie common phenomena such as the visual-search asymmetry that finding a familiar letter N among its mirror images is more difficult than the converse. Our results should enable additional examination of known phenomena and interactions between different levels of visual processes.

[1]  S. Thorpe,et al.  Speed of processing in the human visual system , 1996, Nature.

[2]  Kang Chen,et al.  Visual Attention and Eye Movements , 2008 .

[3]  H. Jones,et al.  Visual cortical mechanisms detecting focal orientation discontinuities , 1995, Nature.

[4]  F. Fang,et al.  Cortical responses to invisible objects in the human dorsal and ventral pathways , 2005, Nature Neuroscience.

[5]  N. Logothetis,et al.  Shape representation in the inferior temporal cortex of monkeys , 1995, Current Biology.

[6]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[7]  E. J. Tehovnik,et al.  Saccadic eye movements evoked by microstimulation of striate cortex , 2003, The European journal of neuroscience.

[8]  Zhaoping Li A saliency map in primary visual cortex , 2002, Trends in Cognitive Sciences.

[9]  Robert A. Frazor,et al.  Visual cortex neurons of monkeys and cats: temporal dynamics of the spatial frequency response function. , 2004, Journal of neurophysiology.

[10]  B. C. Motter Focal attention produces spatially selective processing in visual cortical areas V1, V2, and V4 in the presence of competing stimuli. , 1993, Journal of neurophysiology.

[11]  G W Humphreys,et al.  Top-down processes in object identification: evidence from experimental psychology, neuropsychology and functional anatomy. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[12]  N. Kanwisher,et al.  The lateral occipital complex and its role in object recognition , 2001, Vision Research.

[13]  P. H. Schiller,et al.  The role of the primate extrastriate area V4 in vision. , 1991, Science.

[14]  A. Treisman,et al.  Perceiving visually presented objets: recognition, awareness, and modularity , 1998, Current Opinion in Neurobiology.

[15]  A. Weitzenhoffer,et al.  ATTENTION AND EYE MOVEMENTS , 1970, The Journal of nervous and mental disease.

[16]  R. Mansfield,et al.  Analysis of visual behavior , 1982 .

[17]  D. V. van Essen,et al.  Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. , 1992, Journal of neurophysiology.

[18]  E. Vogel,et al.  Word meanings can be accessed but not reported during the attentional blink , 1996, Nature.

[19]  M. Potter Short-term conceptual memory for pictures. , 1976, Journal of experimental psychology. Human learning and memory.

[20]  Iain D Gilchrist,et al.  Visual sensitivity in search tasks depends on the response requirement. , 2003, Spatial vision.

[21]  D. V. van Essen,et al.  Response modulation by texture surround in primate area V1: Correlates of “popout” under anesthesia , 1999, Visual Neuroscience.

[22]  Leslie G. Ungerleider Two cortical visual systems , 1982 .

[23]  T. Poggio,et al.  How Visual Cortex Recognizes Objects: The Tale of the Standard Model , 2002 .

[24]  J. Gallant,et al.  Goal-Related Activity in V4 during Free Viewing Visual Search Evidence for a Ventral Stream Visual Salience Map , 2003, Neuron.

[25]  Z Kourtzi,et al.  Representation of Perceived Object Shape by the Human Lateral Occipital Complex , 2001, Science.

[26]  E. Reingold,et al.  Visual search asymmetry: The influence of stimulus familiarity and low-level features , 2001, Perception & psychophysics.

[27]  J. Enns,et al.  What’s new in visual masking? , 2000, Trends in Cognitive Sciences.

[28]  J. Wolfe,et al.  Preattentive Object Files: Shapeless Bundles of Basic Features , 1997, Vision Research.

[29]  L. Chalupa,et al.  The visual neurosciences , 2004 .

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

[31]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[32]  John T. Richards,et al.  The effect of background familiarity in visual search: An analysis of underlying factors , 1978 .

[33]  Wieske van Zoest,et al.  Bottom-up and Top-down Control in Visual Search , 2004, Perception.

[34]  Hidehiko Komatsu,et al.  Target Selection in Area V4 during a Multidimensional Visual Search Task , 2004, The Journal of Neuroscience.

[35]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[36]  Zhaoping Li Different Retinal Ganglion Cells have Different Functional Goals , 1992, Int. J. Neural Syst..

[37]  J. Hummel,et al.  The role of attention in priming for left-right reflections of object images: evidence for a dual representation of object shape. , 1998, Journal of experimental psychology. Human perception and performance.

[38]  John Duncan,et al.  A neural basis for visual search in inferior temporal cortex , 1993, Nature.

[39]  V. Ramaswamy,et al.  Fingerprint of ozone depletion in the spatial and temporal pattern of recent lower-stratospheric cooling , 1996, Nature.

[40]  U. Frith Acurious effect with reversed letters explained by a theory of schema , 1974 .