Evaluating spatiotemporal integration of shape cues

Prior work has shown that humans can successfully identify letters that are constructed with a sparse array of dots, wherein the dot pattern reflects the strokes that would normally be used to fashion a given letter. In the present work the dots were briefly displayed, one at a time in sequence, varying the spatial order in which they were shown. A forward sequence was spatially ordered as though one were passing a stroke across the dots to connect them. Experiments compared this baseline condition to the following three conditions: a) the dot sequence was spatially ordered, but in the reverse direction from how letter strokes might normally be written; b) the dots in each stroke of the letter were displayed in a random order; c) the sequence of displayed dots were chosen for display from any location in the letter. Significant differences were found between the baseline condition and all three of the comparison conditions, with letter recognition being far worse for the random conditions than for conditions that provided consistent spatial ordering of dot sequences. These findings show that spatial order is critical for integration of shape cues that have been sequentially displayed.

[1]  E. Greene,et al.  Recognition of letters displayed as briefly flashed dot patterns , 2015, Attention, perception & psychophysics.

[2]  I. Rock,et al.  Intelligence Factors in the Perception of Form through a Moving Slit , 1973, Perception.

[3]  Ernest Greene,et al.  Information persistence evaluated with low-density dot patterns. , 2016, Acta psychologica.

[4]  Ernest Greene,et al.  Computational Scaling of Shape Similarity That has Potential for Neuromorphic Implementation , 2018, IEEE Access.

[5]  William B. Thompson,et al.  Analysis of Accretion and Deletion at Boundaries in Dynamic Scenes , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  S. A. Rose,et al.  Shape recognition in infancy: visual integration of sequential information. , 1988, Child development.

[7]  M. Coltheart,et al.  Iconic memory and visible persistence , 1980, Perception & psychophysics.

[8]  Thomas F. Shipley,et al.  Spatio-temporal boundary formation: the role of local motion signals in boundary perception , 1997, Vision Research.

[9]  A. Yonas,et al.  Infants' sensitivity to accretion and deletion of texture as information for depth at an edge. , 1984, Child development.

[10]  Markus Huff,et al.  Studying visual attention using the multiple object tracking paradigm: A tutorial review , 2017, Attention, Perception, & Psychophysics.

[11]  Ernest Greene,et al.  New encoding concepts for shape recognition are needed , 2018, AIMS neuroscience.

[12]  Anne Treisman,et al.  Features and objects in visual processing , 1986 .

[13]  James H Elder,et al.  Shape from Contour: Computation and Representation. , 2018, Annual review of vision science.

[14]  E. Greene How do we know whether Three Dots form an Equilateral Triangle? , 2016 .

[15]  Gennady Erlikhman,et al.  The maintenance and updating of representations of no longer visible objects and their parts. , 2017, Progress in brain research.

[16]  Yash Patel,et al.  Scan transcription of two-dimensional shapes as an alternative neuromorphic concept , 2018, 1803.07883.

[17]  Chris M Herdman,et al.  Disruptive camouflage impairs object recognition , 2013, Biology Letters.

[18]  Ernest Greene,et al.  Visual encoding of partial unknown shape boundaries , 2018, AIMS neuroscience.

[19]  Ernest Greene,et al.  Evaluating persistence of shape information using a matching protocol , 2018, AIMS neuroscience.

[20]  E. Greene Retinal Encoding of Ultrabrief Shape Recognition Cues , 2007, PloS one.

[21]  Ernest Greene,et al.  Information persistence in the integration of partial cues for object recognition , 2007, Perception & psychophysics.

[22]  Adrian Rusu,et al.  Using the Gestalt Principle of Closure to Alleviate the Edge Crossing Problem in Graph Drawings , 2011, 2011 15th International Conference on Information Visualisation.

[23]  E. Gibson,et al.  The "visual cliff". , 1960, Scientific American.