Piep Piep Piep - Ich Hab' Dich Lieb: Rhythm as an Indicator of Mate Quality

Rhythm is common in courtship signals of many species. Here we explore whether regularly repeating rhythmic patterns can serve as indicators of underlying mate quality. We find through simulation that rhythmic signals allow the greatest discrimination between high- and low-quality males when low quality is associated with timing errors in artificial songs. However, rhythmic signals are difficult to evolve in our framework, leading to the conclusion that other pressures may have been involved in their appearance.

[1]  G. Miller,et al.  Mental Traits as Fitness Indicators: Expanding Evolutionary Psychology's Adaptationism , 2000, Annals of the New York Academy of Sciences.

[2]  A Grafen,et al.  Sexual selection unhandicapped by the Fisher process. , 1990, Journal of theoretical biology.

[3]  S. Peters,et al.  Brain development, song learning and mate choice in birds: a review and experimental test of the "nutritional stress hypothesis" , 2002, Journal of Comparative Physiology A.

[4]  Stewart H. Hulse,et al.  Discrimination and Generalization of Rhythmic and Arrhythmic Sound Patterns , 1984 .

[5]  B. Kempenaers,et al.  A novel song parameter correlates with extra-pair paternity and reflects male longevity , 2002, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[6]  G. Rose,et al.  Auditory midbrain neurons that count , 2002, Nature Neuroscience.

[7]  Bart Kempenaers,et al.  When a bird is tired from singing: a study of drift during the dawn chorus , 2000 .

[8]  Risto Miikkulainen,et al.  COOPERATIVE COEVOLUTION OF MULTI-AGENT SYSTEMS , 2001 .

[9]  Peter M. Todd,et al.  Exploring Adaptive Agency III: Simulating the Evolution of Habituation and Sensitization , 1990, PPSN.

[10]  J. Coyne Not black and white , 1998, Nature.

[11]  T. Guilford,et al.  Receiver psychology and the evolution of animal signals , 1991, Animal Behaviour.

[12]  P. Slater,et al.  Temporal variation in male chaffinch song depends on the singer and the song type , 2003 .

[13]  J. Baldwin A New Factor in Evolution , 1896, The American Naturalist.

[14]  R. Dawkins,et al.  Animal signals: information or manipulation? , 1978 .

[15]  Peter M. Todd,et al.  The causes and effects of evolutionary simulation in the behavioral sciences , 1996 .

[16]  A. Doupe,et al.  Social context modulates singing-related neural activity in the songbird forebrain , 1999, Nature Neuroscience.

[17]  K. Riebel Early exposure leads to repeatable preferences for male song in female zebra finches , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[18]  Geoffrey E. Hinton,et al.  How Learning Can Guide Evolution , 1996, Complex Syst..

[19]  Masakazu Konishi,et al.  Decrystallization of adult birdsong by perturbation of auditory feedback , 1999, Nature.

[20]  P. Slater,et al.  Bird Song: Biological Themes and Variations , 1995 .

[21]  N. Langmore,et al.  Song switching in monandrous and polyandrous dunnocks, Prunella modularis , 1997, Animal Behaviour.

[22]  J. Krebs,et al.  Behavioural Ecology: An Evolutionary Approach , 1978 .

[23]  M. Kimura,et al.  The neutral theory of molecular evolution. , 1983, Scientific American.

[24]  Mark Kirkpatrick,et al.  THE DARWIN‐FISHER THEORY OF SEXUAL SELECTION IN MONOGAMOUS BIRDS , 1990, Evolution; international journal of organic evolution.

[25]  Richard Hans Robert Hahnloser,et al.  An ultra-sparse code underliesthe generation of neural sequences in a songbird , 2002, Nature.

[26]  G. Miller The Mating Mind: How Sexual Choice Shaped the Evolution of Human Nature , 2000 .

[27]  Mark Kirkpatrick,et al.  The Handicap Mechanism of Sexual Selection Does Not Work , 1986, The American Naturalist.

[28]  Sarah M. N. Woolley,et al.  Bengalese Finches Lonchura Striata Domestica Depend upon Auditory Feedback for the Maintenance of Adult Song , 1997, The Journal of Neuroscience.

[29]  Dave Cliff,et al.  Modelling biases and biasing models: The role of 'hidden preferences' in the artificial co-evolution of symmetrical signals , 1996 .

[30]  Peter M. Todd,et al.  Exploring adaptive agency II: simulating the evolution of associative learning , 1991 .

[31]  L. Cosmides,et al.  Evolutionary psychology: A Primer , 1997 .

[32]  R. Lewontin,et al.  Sociobiology as an adaptationist program. , 1979, Behavioral science.

[33]  David Adam Wide repertoire wins mates , 2000 .

[34]  C. Catchpole,et al.  Song as an indicator of parasitism in the sedge warbler , 1999, Animal Behaviour.

[35]  M. Kirkpatrick SEXUAL SELECTION AND THE EVOLUTION OF FEMALE CHOICE , 1982, Evolution; international journal of organic evolution.

[36]  Manfred Gahr,et al.  The honesty of bird song: multiple constraints for multiple traits , 2002 .

[37]  A. Houde Evolution by Sexual Selection: What Can Population Comparisons Tell Us? , 1993, The American Naturalist.

[38]  T. Veblen The Theory of the Leisure Class , 1901 .

[39]  M. Kreutzer,et al.  Two-note syllables in canary songs elicit high levels of sexual display , 1998, Animal Behaviour.

[40]  P. Todd,et al.  Musical networks: Parallel distributed perception and performance , 1999 .

[41]  Jack W. Bradbury,et al.  Principles of Animal Communication , 1998 .

[42]  Klaus Reinhold,et al.  Acoustic preference functions and sexual selection on the male calling song in the grasshopper Chorthippus biguttulus , 2003, Animal Behaviour.

[43]  A. Møller,et al.  Asymmetry, Developmental Stability, and Evolution , 1998 .

[44]  Magnus Enquist,et al.  Spots and stripes: the evolution of repetition in visual signal form. , 2004, Journal of theoretical biology.

[45]  Taylor J. Maxwell,et al.  Loss and recovery of wings in stick insects , 2003, Nature.

[46]  C. Wedekind,et al.  MHC-dependent mate preferences in humans , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[47]  O. Z. Roy,et al.  The co-ordination between respiration and wing beats in birds , 1970, Zeitschrift für vergleichende Physiologie.

[48]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[49]  P. Marler Birdsong and speech development: could there be parallels? , 1970, American scientist.

[50]  M. Enquist,et al.  Hidden preferences and the evolution of signals , 1993 .

[51]  A. Zahavi Mate selection-a selection for a handicap. , 1975, Journal of theoretical biology.

[52]  L. Real Search Theory and Mate Choice. I. Models of Single-Sex Discrimination , 1990, The American Naturalist.

[53]  P. Slater,et al.  The maintenance of vocal learning by gene–culture interaction: the cultural trap hypothesis , 1999, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[54]  Phil Husbands,et al.  The View From Elsewhere: Perspectives on ALife Modeling , 2002, Artificial Life.

[55]  Andrew P. King,et al.  A Brain of Her Own: A Neural Correlate of Song Assessment in a Female Songbird , 1997, Neurobiology of Learning and Memory.

[56]  Eliot A. Brenowitz,et al.  Seasonal plasticity in the adult brain , 2000, Trends in Neurosciences.

[57]  R. Christopher deCharms,et al.  Primary cortical representation of sounds by the coordination of action-potential timing , 1996, Nature.

[58]  A. Grafen Biological signals as handicaps. , 1990, Journal of theoretical biology.

[59]  John Maynard Smith,et al.  Sexual selection and the handicap principle. , 1976, Journal of theoretical biology.

[60]  J. Fodor,et al.  The Modularity of Mind: An Essay on Faculty Psychology , 1984 .

[61]  Magnus Enquist,et al.  Symmetry, beauty and evolution , 1994, Nature.

[62]  André A. Dhondt,et al.  The anti-exhaustion hypothesis: a new hypothesis to explain song performance and song switching in the great tit , 1988, Animal Behaviour.

[63]  Carel ten Cate,et al.  Collared Dove Responses to Playback: Slaves to the Rhythm , 1999 .

[64]  Carel ten Cate,et al.  Variation in number of elements in the perch-coo vocalization of the collared dove (Streptopelia decaocto) and what it may tell about the sender , 1999 .

[65]  D. Kroodsma,et al.  Ecology and evolution of acoustic communication in birds , 1997 .

[66]  Seth Bullock,et al.  Enhancing game theory with coevolutionary simulation models of honest signalling , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[67]  R. Dukas,et al.  Cognitive ecology : the evolutionary ecology of information processing and decision making , 1998 .

[68]  F Goller,et al.  The neuromuscular control of birdsong. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[69]  Y. Iwasa,et al.  THE EVOLUTION OF COSTLY MATE PREFERENCES II. THE “HANDICAP” PRINCIPLE , 1991, Evolution; international journal of organic evolution.

[70]  George Casella,et al.  Variation in the volume of zebra finch song control nuclei is heritable: developmental and evolutionary implications , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[71]  Peter M. Todd,et al.  Too many love songs: Sexual selection and the evolution of communication , 1997 .

[72]  Bart Kempenaers,et al.  Extrapair paternity in the blue tit (Parus caeruleus) : female choice, male charateristics, and offspring quality , 1997 .

[73]  S. Peters,et al.  Quality of song learning affects female response to male bird song , 2002, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[74]  Zhiyi Chi,et al.  Temporal Precision and Temporal Drift in Brain and Behavior of Zebra Finch Song , 2001, Neuron.

[75]  R. Johnstone Female preference for symmetrical males as a by-product of selection for mate recognition , 1994, Nature.

[76]  C. Catchpole,et al.  Female canaries that respond and discriminate more between male songs of different quality have a larger song control nucleus (HVC) in the brain. , 2002, Journal of neurobiology.

[77]  Manfred Gahr,et al.  Seasonal changes in the song pattern of the non-domesticated island canary (Serinus canaria), a field study , 2001 .

[78]  M. Ryan Sexual selection, sensory systems and sensory exploitation. , 1990 .

[79]  A. C. Yu,et al.  Temporal Hierarchical Control of Singing in Birds , 1996, Science.

[80]  A. Zador,et al.  Neural representation and the cortical code. , 2000, Annual review of neuroscience.

[81]  Jeffrey Podos,et al.  The evolution of bird song: male and female response to song innovation in swamp sparrows , 2001, Animal Behaviour.

[82]  J. Fodor The Modularity of mind. An essay on faculty psychology , 1986 .

[83]  Seth Bullock,et al.  Evolutionary Simulation Models: On Their Character, and Application to Problems Concerning the Evolution of Natural Signalling Systems , 1997 .

[84]  Scott K. Sakaluk,et al.  VIRGIN-MALE MATING ADVANTAGE IN SAGEBRUSH CRICKETS: DIFFERENTIAL MALE COMPETITIVENESS OR NON-INDEPENDENT FEMALE MATE CHOICE? , 1999 .

[85]  Jason Noble,et al.  The Evolution of Animal Communication Systems: Questions of Function Examined through Simulation , 1998 .

[86]  J. Podos,et al.  Motor constraints on vocal development in a songbird , 1996, Animal Behaviour.

[87]  Dennis Hasselquist,et al.  Correlation between male song repertoire, extra-pair paternity and offspring survival in the great reed warbler , 1996, Nature.

[88]  P. K. McGregor,et al.  Decline in song output by great tits: Exhaustion or motivation? , 1988, Animal Behaviour.

[89]  A. Houtman,et al.  Female zebra finches choose extra-pair copulations with genetically attractive males , 1992, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[90]  Peter M. Todd,et al.  The Role of Mate Choice in Biocomputation: Sexual Selection as a Process of Search, Optimization and Diversification , 1995, Evolution and Biocomputation.

[91]  Randall D. Beer,et al.  Center-Crossing Recurrent Neural Networks for the Evolution of Rhythmic Behavior , 2002, Neural Computation.

[92]  D. Rosenfield,et al.  Acoustic pattern variations in the female-directed birdsongs of a colony of laboratory-bred zebra finches , 2000, Behavioural Processes.

[93]  Dave Cliff,et al.  Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations , 1995, ECAL.

[94]  Johan J. Bolhuis,et al.  A critique of the neuroecology of learning and memory , 2001, Trends in Cognitive Sciences.