Abstract
The Mathematical Theory of Communication predicts how the amount of information of a signal is transmitted from an emitter to a receiver after propagation through the environment. This theory can be applied to explain the principles of animal communication and can be, in the acoustic domain, a strong framework to explore crucial questions on communication strategies such as which code for which environment, which code for which social life, how the information is decoded at the receiver’s level, how physiological mechanisms constrain the information coding. Such an approach encompasses all aspects of the acoustic communication process, including its dynamic dimensions.
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References
Aubin T, Jouventin P (2002) How to vocally identify kin in a crowd: the penguin model. Adv St Behav 31:243–277
Aubin T, Mathevon N, Da Silva ML (2014) Species identity coding by the song of a rainforest warbler: an adaptation to long-range transmission? Acta Acustica 100:748–758
Beecher MD (1982) Signature systems and kin recognition. Am Zool 22:477–490
Beecher MD (1989) Signalling systems for individual recognition: an information theory approach. Anim Behav 18:465–482
Bergstrom CT, Rosvall M (2011) The transmission sense of information. Biol Philos 26:159–176
Darwin CR (1872) The expression of the emotions in man and animals. John Murray, London
Donaldson-Matasci MC, Bergstrom CT, Lachmann M (2010) The fitness value of information. Oikos 119:219–230
Elie JE, Theunissen FE (2016) The vocal repertoire of the domesticated zebra finch: a data-driven approach to decipher the information-bearing acoustic features of communication signals. Anim Cogn 19:285–315
Elie JE, Theunissen FE (2018) Zebra finches identify individuals using vocal signatures unique to each call type. Nat Commun 9:4026
Elie JE, Theunissen FE (2019) Invariant neural responses for sensory categories revealed by the time-varying information for communication calls. PLoS Comput Biol 15:e1006698
Hebets EA, Barron AB, Balakrishnan CN, Hauber ME, Mason PH, Hoke KL (2016) A systems approach to animal communication. Proc R Soc B 283:20152889
Lean OM (2014) Getting the most out of Shannon information. Biol Philos 29:395–413
Lengagne T, Aubin T, Lauga J, Jouventin P (1999) How do king penguins (Aptenodytes patagonicus) apply the mathematical theory of information to communicate in windy conditions? Proc R Soc B 266:1623–1628
Ligon RA, Diaz CD, Morano JL, Troscianko J, Stevens M, Moskeland A et al (2018) Evolution of correlated complexity in the radically different courtship signals of birds-of-paradise. PLoS Biol 16:e2006962
Mathevon N, Aubin T, Vielliard J, da Silva M, Sèbe F, Boscolo D (2008) Singing in the rain forest: how a tropical bird song transfers information. PLoS One 3:e1580
Mathevon N, Koralek A, Weldele M, Glickman SE, Theunissen FE (2010) What the hyena’s laugh tells: sex, age, dominance and individual signature in the giggling call of Crocuta crocuta. BMC Ecol 10:9
Maynard Smith J (2000) The concept of information in biology. Phil Sci 67:177–194
McGregor PK (2005) Animal communication networks. Cambridge University Press, Cambridge
Patricelli GL, Hebets EA (2016) New dimensions in animal communication: the case for complexity. Curr Opin Behav Sci 12:80–89
Reinagel P (2000) Information theory in the brain. Curr Biol 10:R542–R544
Rendall D, Owren MJ (2013) Communication without meaning or information: abandoning language-based and informational constructs in animal communication theory. In: Stegmann UE (ed) Animal communication theory: information and influence. Cambridge University Press, Cambridge
Rendall D, Owren MJ, Ryan MJ (2009) What do animal signals mean? Anim Behav 78:233–240
Searby A, Jouventin P, Aubin T (2004) Acoustic recognition in macaroni penguins: an original signature system. Anim Behav 67:615–625
Seyfarth RM, Cheney DL, Bergman T, Fischer J, Zuberbühler K, Hammerschmidt K (2010) The central importance of information in studies of animal communication. Anim Behav 80:3–8
Shannon CE, Weaver W (1949) The mathematical theory of communication. University of Illinois Press, Urbana
Smith CL, Taylor A, Evans CE (2011) Tactical multimodal signalling in birds: facultative variation in signal modality reveals sensitivity to social costs. Anim Behav 82(3):521–527
Stegmann UE (2013) A primer on information and influence in animal communication. In: Stegmann UE (ed) Animal communication theory: information and influence. Cambridge University Press, Cambridge, pp 1–39
Stegmann UE (2017) Evolution and information: an overview. In: Joyce R (ed) Routledge handbook of evolution and philosophy. Routledge, London, New York, pp 79–90
Sterner B (2014) The practical value of biological information for research. Philos Sci 81:175–194
Van Baalen M (2013) Biological information: why we need a good measure and the challenges ahead. Interface Focus 3:20130030
Weaver W (1949) Recent contributions to the mathematical theory of communication. In: Shannon CE, Weaver W (eds) The mathematical theory of communication. University of Illinois Press, Urbana, pp 1–28
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Mathevon, N., Aubin, T. (2020). Acoustic Coding Strategies Through the Lens of the Mathematical Theory of Communication. In: Aubin, T., Mathevon, N. (eds) Coding Strategies in Vertebrate Acoustic Communication. Animal Signals and Communication, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-030-39200-0_1
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