Visual motion with pink noise induces predation behaviour

Visual motion cues are one of the most important factors for eliciting animal behaviour, including predator-prey interactions in aquatic environments. To understand the elements of motion that cause such selective predation behaviour, we used a virtual plankton system where the predation behaviour in response to computer-generated prey was analysed. First, we performed motion analysis of zooplankton (Daphnia magna) to extract mathematical functions for biologically relevant motions of prey. Next, virtual prey models were programmed on a computer and presented to medaka (Oryzias latipes), which served as predatory fish. Medaka exhibited predation behaviour against several characteristic virtual plankton movements, particularly against a swimming pattern that could be characterised as pink noise motion. Analysing prey-predator interactions via pink noise motion will be an interesting research field in the future.

[1]  R. Blust,et al.  Effect of Salinity on the Swimming Velocity of the Water Flea Daphnia magna , 1998, Physiological Zoology.

[2]  Eiji Watanabe,et al.  Habituation of medaka (Oryzias latipes) demonstrated by open-field testing , 2010, Behavioural Processes.

[3]  Frank Moss,et al.  Pattern formation and stochastic motion of the zooplankton Daphnia in a light field , 2003 .

[4]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[5]  Thomas L. Thornton,et al.  Provenance of correlations in psychological data , 2005, Psychonomic bulletin & review.

[6]  D. Ingle 3 Vision: The Experimental Analysis of Visual Behavior , 1971 .

[7]  S. Bezrukov,et al.  Examining noise sources at the single-molecule level: 1/f noise of an open maltoporin channel. , 2000, Physical review letters.

[8]  J G New,et al.  Strike feeding behavior in the muskellunge, Esox masquinongy: contributions of the lateral line and visual sensory systems. , 2001, The Journal of experimental biology.

[9]  A. R. Black Predator‐induced phenotypic plasticity in Daphnia pulex: Life history and morphological responses to Notonecta and Chaoborus , 1993 .

[10]  Z R Struzik,et al.  Autonomic Imbalance Induced Breakdown of Long-range Dependence in Healthy Heart Rate , 2007, Methods of Information in Medicine.

[11]  L. Seuront,et al.  Quantifying Zooplankton Swimming Behavior: The Question of Scale , 2003 .

[12]  M. Kinoshita,et al.  Establishment of medaka (Oryzias latipes) transgenic lines with the expression of green fluorescent protein fluorescence exclusively in germ cells: A useful model to monitor germ cells in a live vertebrate , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[13]  I. D. Hill,et al.  An Efficient and Portable Pseudo‐Random Number Generator , 1982 .

[14]  Bruce J. West,et al.  Maximizing information exchange between complex networks , 2008 .

[15]  M. Brewer,et al.  Virtual plankton: A novel approach to the investigation of aquatic predator‐prey interactions , 1995 .

[16]  F. Prete,et al.  Responses to computer-generated visual stimuli by the male praying mantis, Sphodromantis lineola (Burmeister) , 2002, Animal Behaviour.

[17]  Walter G. Sannita,et al.  Heart rate variability, homeostasis, and brain function: A tutorial and review of application. , 2012 .

[18]  Á. Miklósi,et al.  Right eye use associated with decision to bite in zebrafish , 1999, Behavioural Brain Research.

[19]  D. Bray,et al.  Computer analysis of the binding reactions leading to a transmembrane receptor-linked multiprotein complex involved in bacterial chemotaxis. , 1995, Molecular biology of the cell.

[20]  Dennis Bray,et al.  Swimming patterns and dynamics of simulated Escherichia coli bacteria , 2009, Journal of The Royal Society Interface.

[21]  S. Gerking Chapter 8 – Filter Feeding , 1994 .

[22]  M. Weissman 1/f noise and other slow, nonexponential kinetics in condensed matter. , 1988 .

[23]  Laurent Seuront,et al.  Handbook of Scaling Methods in Aquatic Ecology: Measurement, Analysis, Simulation , 2007 .

[24]  W. Freeman,et al.  Simulated power spectral density (PSD) of background electrocorticogram (ECoG) , 2008, Cognitive Neurodynamics.

[25]  D. Eggers,et al.  The Nature of Prey Selection by Planktivorous Fish , 1977 .

[26]  F. Prete,et al.  Appetitive responses to computer-generated visual stimuli by the praying mantis Sphodromantis lineola(Burr.) , 1993, Visual Neuroscience.

[27]  J. Strickler,et al.  Visibility as a factor in the copepod-planktivorous fish relationship , 2005 .

[28]  Lutz Schimansky-Geier,et al.  Optimal foraging by zooplankton within patches: the case of Daphnia. , 2007, Mathematical biosciences.

[29]  D. Ware Risk of Epibenthic Prey to Predation by Rainbow Trout (Salmo gairdneri) , 1973 .

[30]  D. Tillitt,et al.  Ontogenetic improvement of visual function in the medaka Oryzias latipes based on an optomotor testing system for larval and adult fish , 2002, Animal Behaviour.

[31]  J. Yellott Spectral consequences of photoreceptor sampling in the rhesus retina. , 1983, Science.

[32]  F. Bartumeus,et al.  Helical Lévy walks: Adjusting searching statistics to resource availability in microzooplankton , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[33]  Arif Babul,et al.  Neuron dynamics in the presence of 1/f noise. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[34]  E. Rubiola,et al.  On the 1/f Frequency Noise in Ultra-Stable Quartz Oscillators , 2006, 2006 IEEE International Frequency Control Symposium and Exposition.

[35]  Akiyoshi Kitaoka,et al.  Motion signals deflect relative positions of moving objects , 2010, Vision Research.

[36]  T. E. Wissing Feeding Ecology of Fish , 1995 .

[37]  Angelo Gemignani,et al.  Spontaneous brain activity as a source of ideal 1/f noise. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  D. Tank,et al.  Quantifying the ontogeny of optokinetic and vestibuloocular behaviors in zebrafish, medaka, and goldfish. , 2004, Journal of neurophysiology.

[39]  Tamas Vicsek,et al.  A question of scale , 2001, Nature.

[40]  Jiang‐Shiou Hwang,et al.  Individual variability in the swimming behavior of the sub-tropical copepod Oncaea venusta (Copepoda: Poecilostomatoida) , 2004 .

[41]  S. Dodson,et al.  Interactive effects of fish kairomone and light on Daphnia escape behavior , 1999 .

[42]  D. Weihs,et al.  Energetically efficient swimming behavior of negatively buoyant zooplankton1 , 1976 .

[43]  R. Ratcliff,et al.  1/f noise in human cognition: Is it ubiquitous, and what does it mean? , 2006, Psychonomic bulletin & review.

[44]  F. Prete Stimulus configuration and location in the visual field affect appetitive responses by the praying mantis, Sphodromantis lineola (Burr.) , 1993, Visual Neuroscience.

[45]  V. Gontis,et al.  Modeling long-range memory trading activity by stochastic differential equations , 2006, physics/0608036.

[46]  J G New,et al.  Multimodal sensory integration in the strike-feeding behaviour of predatory fishes. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[47]  Frank Beckers,et al.  Aging and nonlinear heart rate control in a healthy population. , 2006, American journal of physiology. Heart and circulatory physiology.

[48]  Masahiro Nakagawa,et al.  Effect of sodium hypochlorite on zebrafish swimming behavior estimated by fractal dimension analysis. , 2008, Journal of bioscience and bioengineering.

[49]  G. Doetsch Die Integrodifferentialgleichungen vom Faltungstypus , 1923 .

[50]  Lutz Schimansky-Geier,et al.  RANDOM WALK THEORY APPLIED TO DAPHNIA MOTION , 2004 .

[51]  D. Gilden,et al.  Is it ubiquitous, and what does it mean? , 2006 .

[52]  T. Musha,et al.  1/f Fluctuation of Heartbeat Period , 1982, IEEE Transactions on Biomedical Engineering.

[53]  Hajime Watanabe,et al.  Juvenile hormone agonists affect the occurrence of male Daphnia. , 2003, Chemosphere.

[54]  N. Hairston,et al.  Fish Size, Visula Resolution, and Prey Selectivity , 1985 .