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Acoustic sequences in non-human animals: a tutorial review and prospectus.
Kershenbaum, Arik; Blumstein, Daniel T; Roch, Marie A; Akçay, Çaglar; Backus, Gregory; Bee, Mark A; Bohn, Kirsten; Cao, Yan; Carter, Gerald; Cäsar, Cristiane; Coen, Michael; DeRuiter, Stacy L; Doyle, Laurance; Edelman, Shimon; Ferrer-i-Cancho, Ramon; Freeberg, Todd M; Garland, Ellen C; Gustison, Morgan; Harley, Heidi E; Huetz, Chloé; Hughes, Melissa; Hyland Bruno, Julia; Ilany, Amiyaal; Jin, Dezhe Z; Johnson, Michael; Ju, Chenghui; Karnowski, Jeremy; Lohr, Bernard; Manser, Marta B; McCowan, Brenda; Mercado, Eduardo; Narins, Peter M; Piel, Alex; Rice, Megan; Salmi, Roberta; Sasahara, Kazutoshi; Sayigh, Laela; Shiu, Yu; Taylor, Charles; Vallejo, Edgar E; Waller, Sara; Zamora-Gutierrez, Veronica.
  • Kershenbaum A; National Institute for Mathematical and Biological Synthesis, University of Tennessee, 1122 Volunteer Blvd., Suite 106, Knoxville, TN, 37996-3410, U.S.A.
  • Blumstein DT; Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, U.K.
  • Roch MA; Department of Ecology and Evolutionary Biology, University of California Los Angeles, 621 Charles E. Young Drive South, Los Angeles, CA, 90095-1606, U.S.A.
  • Akçay Ç; Department of Computer Science, San Diego State University, 5500 Campanile Dr, San Diego, CA, 92182, U.S.A.
  • Backus G; Lab of Ornithology, Cornell University, 159 Sapsucker Woods Rd, Ithaca, NY, 14850, U.S.A.
  • Bee MA; Department of Biomathematics, North Carolina State University, Raleigh, NC, 27607, U.S.A.
  • Bohn K; Department of Ecology, Evolution and Behavior, University of Minnesota, 100 Ecology Building, 1987 Upper Buford Cir, Falcon Heights, MN, 55108, U.S.A.
  • Cao Y; School of Integrated Science and Humanity, Florida International University, Modesto Maidique Campus, 11200 SW 8th Street, AHC-4, 351, Miami, FL, 33199, U.S.A.
  • Carter G; Department of Mathematical Sciences, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, 75080, U.S.A.
  • Cäsar C; Biological Sciences Graduate Program, University of Maryland, College Park, MD, 20742, U.S.A.
  • Coen M; Department of Psychology & Neuroscience, University of St. Andrews, St Mary's Quad South Street, St Andrews, KY16 9JP, U.K.
  • DeRuiter SL; Department of Biostatistics and Medical Informatics, K6/446 Clinical Sciences Center, University of Wisconsin, 600 Highland Avenue, Madison, WI, 53792-4675, U.S.A.
  • Doyle L; Department of Biology School of Mathematics and Statistics, University of St. Andrews, St Andrews, KY16 9SS, U.K.
  • Edelman S; Carl Sagan Center for the Study of Life in the Universe, SETI Institute, 189 Bernardo Ave, Suite 100, Mountain View, CA, 94043, U.S.A.
  • Ferrer-i-Cancho R; Department of Psychology, Cornell University, 211 Uris Hall, Ithaca, NY, 14853-7601, U.S.A.
  • Freeberg TM; Department of Computer Science, Universitat Politecnica de Catalunya (Catalonia), Calle Jordi Girona, 31, 08034, Barcelona, Spain.
  • Garland EC; Department of Psychology, University of Tennessee, Austin Peay Building, Knoxville, TN, 37996, U.S.A.
  • Gustison M; National Marine Mammal Laboratory, AFSC/NOAA, 7600 Sand Point Way N.E., Seattle, WA, 98115, U.S.A.
  • Harley HE; Department of Psychology, University of Michigan, 530 Church St, Ann Arbor, MI, 48109, U.S.A.
  • Huetz C; Division of Social Sciences, New College of Florida, 5800 Bay Shore Rd, Sarasota, FL, 34243, U.S.A.
  • Hughes M; CNPS, CNRS UMR 8195, Université Paris-Sud, UMR 8195, Batiments 440-447, Rue Claude Bernard, 91405, Orsay, France.
  • Hyland Bruno J; Department of Biology, College of Charleston, 66 George St, Charleston, SC, 29424, U.S.A.
  • Ilany A; Department of Psychology, Hunter College and the Graduate Center, The City University of New York, 365 Fifth Avenue, New York, NY, 10016, U.S.A.
  • Jin DZ; National Institute for Mathematical and Biological Synthesis, University of Tennessee, 1122 Volunteer Blvd., Suite 106, Knoxville, TN, 37996-3410, U.S.A.
  • Johnson M; Department of Physics, Pennsylvania State University, 104 Davey Lab, University Park, PA, 16802-6300, U.S.A.
  • Ju C; Department of Electrical and Computer Engineering, Marquette University, 1515 W. Wisconsin Ave., Milwaukee, WI, 53233, U.S.A.
  • Karnowski J; Department of Biology, Queen College, The City University of New York, 65-30 Kissena Blvd., Flushing, NY, 11367, U.S.A.
  • Lohr B; Department of Cognitive Science, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0515, U.S.A.
  • Manser MB; Department of Biological Sciences, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, U.S.A.
  • McCowan B; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
  • Mercado E; Department of Veterinary Medicine, University of California Davis, 1 Peter J Shields Ave, Davis, CA, 95616, U.S.A.
  • Narins PM; Department of Psychology, University at Buffalo, The State University of New York, Park Hall Room 204, Buffalo, NY, 14260-4110, U.S.A.
  • Piel A; Department of Evolution, Ecology, & Behavior, University at Buffalo, The State University of New York, Park Hall Room 204, Buffalo, NY, 14260-4110, U.S.A.
  • Rice M; Department of Integrative Biology & Physiology, University of California Los Angeles, 612 Charles E. Young Drive East, Los Angeles, CA, 90095-7246, U.S.A.
  • Salmi R; Division of Biological Anthropology, University of Cambridge, Pembroke Street, Cambridge, CB2 3QG, U.K.
  • Sasahara K; Department of Psychology, California State University San Marcos, 333 S. Twin Oaks Valley Rd., San Marcos, CA, 92096-0001, U.S.A.
  • Sayigh L; Department of Anthropology, University of Georgia at Athens, 355 S Jackson St, Athens, GA, 30602, U.S.A.
  • Shiu Y; Department of Complex Systems Science, Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
  • Taylor C; Biology Department, Woods Hole Oceanographic Institution, 266 Woods Hole Rd, Woods Hole, MA, 02543-1050, U.S.A.
  • Vallejo EE; Lab of Ornithology, Cornell University, 159 Sapsucker Woods Rd, Ithaca, NY, 14850, U.S.A.
  • Waller S; Department of Ecology and Evolutionary Biology, University of California Los Angeles, 621 Charles E. Young Drive South, Los Angeles, CA, 90095-1606, U.S.A.
  • Zamora-Gutierrez V; Department of Computer Science, Monterrey Institute of Technology, Ave. Eugenio Garza Sada 2501 Sur Col. Tecnológico C.P. 64849, Monterrey, Nuevo León, Mexico.
Biol Rev Camb Philos Soc ; 91(1): 13-52, 2016 Feb.
Article en En | MEDLINE | ID: mdl-25428267
ABSTRACT
Animal acoustic communication often takes the form of complex sequences, made up of multiple distinct acoustic units. Apart from the well-known example of birdsong, other animals such as insects, amphibians, and mammals (including bats, rodents, primates, and cetaceans) also generate complex acoustic sequences. Occasionally, such as with birdsong, the adaptive role of these sequences seems clear (e.g. mate attraction and territorial defence). More often however, researchers have only begun to characterise - let alone understand - the significance and meaning of acoustic sequences. Hypotheses abound, but there is little agreement as to how sequences should be defined and analysed. Our review aims to outline suitable methods for testing these hypotheses, and to describe the major limitations to our current and near-future knowledge on questions of acoustic sequences. This review and prospectus is the result of a collaborative effort between 43 scientists from the fields of animal behaviour, ecology and evolution, signal processing, machine learning, quantitative linguistics, and information theory, who gathered for a 2013 workshop entitled, 'Analysing vocal sequences in animals'. Our goal is to present not just a review of the state of the art, but to propose a methodological framework that summarises what we suggest are the best practices for research in this field, across taxa and across disciplines. We also provide a tutorial-style introduction to some of the most promising algorithmic approaches for analysing sequences. We divide our review into three sections identifying the distinct units of an acoustic sequence, describing the different ways that information can be contained within a sequence, and analysing the structure of that sequence. Each of these sections is further subdivided to address the key questions and approaches in that area. We propose a uniform, systematic, and comprehensive approach to studying sequences, with the goal of clarifying research terms used in different fields, and facilitating collaboration and comparative studies. Allowing greater interdisciplinary collaboration will facilitate the investigation of many important questions in the evolution of communication and sociality.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Vocalización Animal Tipo de estudio: Guideline / Health_economic_evaluation Límite: Animals Idioma: En Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Vocalización Animal Tipo de estudio: Guideline / Health_economic_evaluation Límite: Animals Idioma: En Año: 2016 Tipo del documento: Article