The effect of experience and of dots’ density and duration on the detection of coherent motion in dogs

Knowledge about the mechanisms underlying canine vision is far from being exhaustive, especially that concerning post-retinal elaboration. One aspect that has received little attention is motion perception, and in spite of the common belief that dogs are extremely apt at detecting moving stimuli, there is no scientific support for such an assumption. In fact, we recently showed that dogs have higher thresholds than humans for coherent motion detection (Kanizsar et al. in Sci Rep UK 7:11259, 2017). This term refers to the ability of the visual system to perceive several units moving in the same direction, as one coherently moving global unit. Coherent motion perception is commonly investigated using random dot displays, containing variable proportions of coherently moving dots. Here, we investigated the relative contribution of local and global integration mechanisms for coherent motion perception, and changes in detection thresholds as a result of repeated exposure to the experimental stimuli. Dogs who had been involved in the previous study were given a conditioned discrimination task, in which we systematically manipulated dot density and duration and, eventually, re-assessed our subjects’ threshold after extensive exposure to the stimuli. Decreasing dot duration impacted on dogs’ accuracy in detecting coherent motion only at very low duration values, revealing the efficacy of local integration mechanisms. Density impacted on dogs’ accuracy in a linear fashion, indicating less efficient global integration. There was limited evidence of improvement in the re-assessment but, with an average threshold at re-assessment of 29%, dogs’ ability to detect coherent motion remains much poorer than that of humans.

[1]  M. Spetch,et al.  Perception of coherent motion in random dot displays by pigeons and humans , 1999, Perception & psychophysics.

[2]  Björn Mauck,et al.  Sensitivity of a harbor seal (Phoca vitulina) to coherent visual motion in random dot displays , 2014, SpringerPlus.

[3]  N. Milgram,et al.  Cognitive functions and aging in the dog: acquisition of nonspatial visual tasks. , 1994, Behavioral neuroscience.

[4]  P. Carnier,et al.  Hierarchical stimulus processing by dogs (Canis familiaris) , 2013, Animal Cognition.

[5]  M. Nagasawa,et al.  Dogs can discriminate human smiling faces from blank expressions , 2011, Animal Cognition.

[6]  Zili Liu,et al.  Learning motion discrimination with suppressed and un-suppressed MT , 2006, Vision Research.

[7]  Andrew T. Smith,et al.  Is global motion really based on spatial integration of local motion signals? , 1994, Vision Research.

[8]  Marc Korczykowski,et al.  Canine and Human Visual Cortex Intact and Responsive Despite Early Retinal Blindness from RPE65 Mutation , 2007, PLoS medicine.

[9]  Eric R. Kandel,et al.  Perception of motion, depth and form , 2000 .

[10]  Hagen Spies,et al.  Motion , 2000, Computer Vision and Applications.

[11]  Á. Miklósi,et al.  Dogs respond appropriately to cues of humans’ attentional focus , 2004, Behavioural Processes.

[12]  Retinotopic organization of the lateral suprasylvian area of the cat. , 1983, Acta neurobiologiae experimentalis.

[13]  R. Douglas,et al.  Perception of visual motion coherence by rats and mice , 2006, Vision Research.

[14]  L. Spinelli,et al.  Distinct mechanisms of form-from-motion perception in human extrastriate cortex , 2007, Neuropsychologia.

[15]  W. Newsome,et al.  A selective impairment of motion perception following lesions of the middle temporal visual area (MT) , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[16]  J. Movshon,et al.  The analysis of visual motion: a comparison of neuronal and psychophysical performance , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[17]  A. L. Humphrey,et al.  The Emergence of Direction Selectivity in Cat Primary Visual Cortex , 2002 .

[18]  Orsolya Kanizsár,et al.  Dogs are not better than humans at detecting coherent motion , 2017, Scientific Reports.

[19]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[20]  D. Sagi Perceptual learning in Vision Research , 2011, Vision Research.

[21]  R. Snowden,et al.  Motion Perception in the Ageing Visual System: Minimum Motion, Motion Coherence, and Speed Discrimination Thresholds , 2006, Perception.

[22]  T Pasternak,et al.  Lesions in cat lateral suprasylvian cortex affect the perception of complex motion. , 1996, Cerebral cortex.

[23]  Philippe A. Chouinard,et al.  Relational concept learning in domestic dogs: Performance on a two-choice size discrimination task generalises to novel stimuli , 2017, Behavioural Processes.

[24]  R. Kramer,et al.  Recognition of human faces by dogs (Canis familiaris) requires visibility of head contour , 2017, Animal Cognition.

[25]  Juliane Kaminski,et al.  Do dogs get the point? A review of dog-human communication ability , 2013 .

[26]  P. Carnier,et al.  Global bias reliability in dogs (Canis familiaris) , 2017, Animal Cognition.

[27]  Paolo Mongillo,et al.  Part-Based and Configural Processing of Owner's Face in Dogs , 2014, PloS one.

[28]  Barbara Anne Dosher,et al.  Perceptual learning in clear displays optimizes perceptual expertise: learning the limiting process. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[29]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[30]  Bennett I. Bertenthal,et al.  Global Processing of Biological Motions , 1994 .

[31]  Takeo Watanabe,et al.  Perceptual learning without perception , 2001, Nature.

[32]  M Fahle,et al.  Interobserver variance in perceptual performance and learning. , 1996, Investigative ophthalmology & visual science.

[33]  P E Miller,et al.  Vision in dogs. , 1995, Journal of the American Veterinary Medical Association.

[34]  O. Braddick Segmentation versus integration in visual motion processing , 1993, Trends in Neurosciences.

[35]  D. Mills,et al.  Dogs recognize dog and human emotions , 2016, Biology Letters.

[36]  Eero P. Simoncelli,et al.  How MT cells analyze the motion of visual patterns , 2006, Nature Neuroscience.

[37]  Á. Miklósi,et al.  Are readers of our face readers of our minds? Dogs (Canis familiaris) show situation-dependent recognition of human’s attention , 2004, Animal Cognition.

[38]  J A Movshon,et al.  Spatial and temporal analysis by neurons in the representation of the central visual field in the cat's lateral suprasylvian visual cortex , 1990, Visual Neuroscience.

[39]  Philippe A. Chouinard,et al.  What do dogs (Canis familiaris) see? A review of vision in dogs and implications for cognition research , 2018, Psychonomic bulletin & review.

[40]  J. Stein,et al.  Visual motion sensitivity in dyslexia: evidence for temporal and energy integration deficits , 2000, Neuropsychologia.

[41]  T. Pasternak,et al.  Training-induced recovery of visual motion perception after extrastriate cortical damage in the adult cat. , 2004, Cerebral cortex.