What pops out for you pops out for fish: Four common visual features.

Visual search is the ability to detect a target of interest against a background of distracting objects. For many animals, performing this task fast and accurately is crucial for survival. Typically, visual-search performance is measured by the time it takes the observer to detect a target against a backdrop of distractors. The efficiency of a visual search depends fundamentally on the features of the target, the distractors, and the interaction between them. Substantial efforts have been devoted to investigating the influence of different visual features on visual-search performance in humans. In particular, it has been demonstrated that color, size, orientation, and motion are efficient visual features to guide attention in humans. However, little is known about which features are efficient and which are not in other vertebrates. Given earlier observations that moving targets elicit pop-out and parallel search in the archerfish during visual-search tasks, here we investigate and confirm that all four of these visual features also facilitate efficient search in the archerfish in a manner comparable to humans. In conjunction with results reported for other species, these finding suggest universality in the way visual search is carried out by animals despite very different brain anatomies and living environments.

[1]  Ohad Ben-Shahar,et al.  What a predator can teach us about visual processing: a lesson from the archerfish , 2018, Current Opinion in Neurobiology.

[2]  Ohad Ben-Shahar,et al.  Visual search in barn owls: Task difficulty and saccadic behavior. , 2018, Journal of vision.

[3]  R. Segev,et al.  Symbol-value association and discrimination in the archerfish , 2017, PloS one.

[4]  J. Wolfe,et al.  Five factors that guide attention in visual search , 2017, Nature Human Behaviour.

[5]  B. Webb,et al.  How Ants Use Vision When Homing Backward , 2017, Current Biology.

[6]  R. Segev,et al.  The Brain of the Archerfish Toxotes chatareus: A Nissl-Based Neuroanatomical Atlas and Catecholaminergic/Cholinergic Systems , 2016, Front. Neuroanat..

[7]  P. Minias,et al.  Visual cues used in directing predatory strikes by the jumping spider Yllenus arenarius (Araneae, Salticidae) , 2016, Animal Behaviour.

[8]  Zhaoping Li,et al.  From the optic tectum to the primary visual cortex: migration through evolution of the saliency map for exogenous attentional guidance , 2016, Current Opinion in Neurobiology.

[9]  A. von Mühlenen,et al.  The role of unique color changes and singletons in attention capture , 2016, Attention, perception & psychophysics.

[10]  Jeremy M. Wolfe,et al.  Visual Search Revived: The Slopes Are Not That Slippery: A Reply to Kristjansson (2015) , 2016, i-Perception.

[11]  M. Ashley-Ross,et al.  One shot, one kill: the forces delivered by archer fish shots to distant targets. , 2015, Zoology.

[12]  Ohad Ben-Shahar,et al.  Visual pop-out in barn owls: Human-like behavior in the avian brain. , 2015, Journal of vision.

[13]  Ohad Ben-Shahar,et al.  Pop-out in visual search of moving targets in the archer fish , 2015, Nature Communications.

[14]  Guy Wallis,et al.  Complex, context-dependent decision strategies of archerfish, Toxotes chatareus , 2013, Animal Behaviour.

[15]  O. Fincke,et al.  Lost in the crowd or hidden in the grass: signal apparency of female polymorphic damselflies in alternative habitats , 2013, Animal Behaviour.

[16]  Stefan Schuster,et al.  Visual search in hunting archerfish shares all hallmarks of human performance , 2013, Journal of Experimental Biology.

[17]  R. McPeek,et al.  Reprint of: The effects of distractors and spatial precues on covert visual search in macaque , 2013, Vision Research.

[18]  S. Collin,et al.  A comparison of behavioural (Landolt C) and anatomical estimates of visual acuity in archerfish (Toxotes chatareus) , 2013, Vision Research.

[19]  R. Segev,et al.  Visual acuity in the archerfish: behavior, anatomy, and neurophysiology. , 2012, Journal of vision.

[20]  A. Vailati,et al.  How Archer Fish Achieve a Powerful Impact: Hydrodynamic Instability of a Pulsed Jet in Toxotes jaculatrix , 2012, PloS one.

[21]  E. De Rosa,et al.  Impaired visual search in rats reveals cholinergic contributions to feature binding in visuospatial attention. , 2012, Cerebral cortex.

[22]  R. Segev,et al.  Archer fish fast hunting maneuver may be guided by directionally selective retinal ganglion cells , 2012, The European journal of neuroscience.

[23]  Ohad Ben-Shahar,et al.  Overt attention toward oriented objects in free-viewing barn owls , 2011, Proceedings of the National Academy of Sciences of the United States of America.

[24]  A. Farrell,et al.  Encyclopedia of fish physiology : from genome to environment , 2011 .

[25]  Maoz Shamir,et al.  Coding “What” and “When” in the Archer Fish Retina , 2010, PLoS Comput. Biol..

[26]  R. Segev,et al.  Orientation saliency without visual cortex and target selection in archer fish , 2010, Proceedings of the National Academy of Sciences.

[27]  S. Collin,et al.  A spitting image: specializations in archerfish eyes for vision at the interface between air and water , 2010, Proceedings of the Royal Society B: Biological Sciences.

[28]  A. Baierl,et al.  Chin up: are the bright throats of male common frogs a condition-independent visual cue? , 2010, Animal Behaviour.

[29]  A. Mazlan,et al.  Trophic position of archerfish species (Toxotes chatareus and Toxotes jaculatrix) in the Malaysian estuaries , 2010 .

[30]  D. Northmore The Optic Tectum , 2009 .

[31]  Thomas Schlegel,et al.  Small Circuits for Large Tasks: High-Speed Decision-Making in Archerfish , 2008, Science.

[32]  L. Chittka,et al.  Visual search and the importance of time in complex decision making by bees , 2007, Arthropod-Plant Interactions.

[33]  Stefan Schuster,et al.  Archer Fish Learn to Compensate for Complex Optical Distortions to Determine the Absolute Size of Their Aerial Prey , 2004, Current Biology.

[34]  J. Wolfe,et al.  What attributes guide the deployment of visual attention and how do they do it? , 2004, Nature Reviews Neuroscience.

[35]  Pilar López,et al.  Wall lizards combine chemical and visual cues of ambush snake predators to avoid overestimating risk inside refuges , 2004, Animal Behaviour.

[36]  T. Crowl Effects of crayfish size, orientation, and movement on the reactive distance of largemouth bass foraging in clear and turbid water , 1989, Hydrobiologia.

[37]  L. Dill Refraction and the spitting behavior of the archerfish (Toxotes chatareus) , 1977, Behavioral Ecology and Sociobiology.

[38]  J. Wolfe Moving towards solutions to some enduring controversies in visual search , 2003, Trends in Cognitive Sciences.

[39]  S. Rossel,et al.  Predicting three-dimensional target motion: how archer fish determine where to catch their dislodged prey. , 2002, The Journal of experimental biology.

[40]  Jérôme Casas,et al.  Visual systems: Predator and prey views of spider camouflage , 2002, Nature.

[41]  N. Haslam,et al.  Visual search: Efficiency continuum or distinct processes? , 2001, Psychonomic bulletin & review.

[42]  A Guo,et al.  Choice Behavior of Drosophila Facing Contradictory Visual Cues , 2001, Science.

[43]  J. Wolfe Asymmetries in visual search: An introduction , 2001, Perception & psychophysics.

[44]  M. Planas,et al.  Optimal prey size for early turbot larvae (Scophthalmus maximus L.) based on mouth and ingested prey size , 1999 .

[45]  M. Eckstein The Lower Visual Search Efficiency for Conjunctions Is Due to Noise and not Serial Attentional Processing , 1998 .

[46]  J. Wolfe,et al.  What Can 1 Million Trials Tell Us About Visual Search? , 1998 .

[47]  S. Kastner,et al.  Neuronal Correlates of Pop-out in Cat Striate Cortex , 1997, Vision Research.

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

[49]  Robert G. Cook,et al.  Mechanisms of multidimensional grouping, fusion, and search in avian texture discrimination , 1996 .

[50]  Khashayar Farsad,et al.  Comparative Vertebrate Neuroanatomy: Evolution and Adaptation , 1996, The Yale Journal of Biology and Medicine.

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

[52]  J. Theeuwes Abrupt luminance change pops out; abrupt color change does not , 1995, Perception & psychophysics.

[53]  Jan Theeuwes,et al.  SEARCH FOR A CONJUNCTIVELY DEFINED TARGET CAN BE SELECTIVELY LIMITED TO A COLOR-DEFINED SUBSET OF ELEMENTS , 1995 .

[54]  J. Theeuwes,et al.  Parallel Search for a Conjunction of Shape and Contrast Polarity , 1994 .

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

[56]  D. Blough,et al.  Feature-based search asymmetries in pigeons and humans , 1989, Perception & psychophysics.

[57]  D. Badcock,et al.  Processing feature density in preattentive perception , 1988, Perception & psychophysics.

[58]  A Treisman,et al.  Feature analysis in early vision: evidence from search asymmetries. , 1988, Psychological review.

[59]  R. Gibson,et al.  Visual cues determining prey selection by the turbot, Scophthalmus maximus L. , 1986 .

[60]  J. Allman,et al.  Stimulus specific responses from beyond the classical receptive field: neurophysiological mechanisms for local-global comparisons in visual neurons. , 1985, Annual review of neuroscience.

[61]  P. Blough Visual search in pigeons: Effects of memory set size and display variables , 1984, Perception & psychophysics.

[62]  M. Winter,et al.  Behavioural responses to visual stimuli by the snails Tectarius muricatus, Turbo castanea, and Helix aspersa , 1984, Animal Behaviour.

[63]  BELA JULESZ,et al.  Rapid discrimination of visual patterns , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[64]  B. Julesz,et al.  Human factors and behavioral science: Textons, the fundamental elements in preattentive vision and perception of textures , 1983, The Bell System Technical Journal.

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

[66]  D. Blough Visual search in the pigeon: hunt and peck method. , 1977, Science.

[67]  U. Neisser VISUAL SEARCH. , 1964, Scientific American.

[68]  K. H. Lüling The Archer Fish , 1963 .