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  • Print publication year: 2010
  • Online publication date: July 2011

12 - Probabilistic design principles for robust multi-modal communication networks

from Part III - Artificial neural networks as models of perceptual processing in ecology and evolutionary biology

12.1 Stochastic multi-modal communication

Biological systems are inherently noisy and typically comprised of distributed, partially autonomous components. These features require that we understand evolutionary traits in terms of probabilistic design principles, rather than traditional deterministic, engineering frameworks. This characterisation is particularly relevant for signalling systems. Signals, whether between cells or individuals, provide essential integrative mechanisms for building complex, collective, structures. These signalling mechanisms need to integrate, or average, information from distributed sources in order to generate reliable responses. Thus there are two primary pressures operating on signals: the need to process information from multiple sources, and the need to ensure that this information is not corrupted or effaced. In this chapter we provide an information-theoretic framework for thinking about the probabilistic logic of animal communication in relation to robust, multi-modal, signals.

There are many types of signals that have evolved to allow for animal communication. These signals can be classified according to five features: modality (the number of sensory systems involved in signal production), channels (the number of channels involved in each modality), components (the number of communicative units within modalities and channels), context (variation in signal meaning due to social or environmental factors) and combinatoriality (whether modalities, channels, components and/or contextual usage can be rearranged to create different meaning). In this paper we focus on multi-channel and multi-modal signals, exploring how the capacity for multi-modality could have arisen and whether it is likely to have been dependent on selection for increased information flow or on selection for signalling system robustness.

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Modelling Perception with Artificial Neural Networks
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

S. Amari 1985. Differential-Geometric Methods in Statistics. Lecture Notes in Statistics 28. Springer-Verlag.

D. O. Elias , A. C. Mason , W. P. Maddison & R. R. Hoy 2003. Seismic signals in a courting male jumping spider (Araneae: Salticidae). J Exp Biol 206, 4029–4039.

J. C. Flack & F. B. M. Waal 2007. Context modulates signal meaning in primate communication. Proc Natl Acad Sci USA 104, 1581–1586.

J. M. Hillis , M. O. Ernst , M. S. Banks & M. S. Landy 2002. Combining sensory information: mandatory fusion within, but not between senses. Science 298, 1627–1630.

R. A. Johnstone 1996. Multiple displays in animal communication: ‘backup signals’ and ‘multiple messages’. Phil Trans R Soc B 351, 329–338.

D. C. Krakauer & M. A. Nowak 1999. Evolutionary preservation of redundant duplicated genes. Sem Cell Dev Biol 10, 555–559.

W. S. McCulloch & W. A. Pitts 1943. Logical calculus of the ideas immanent in nervous activity. Bull Math Biophyss 5, 115–133.

M. A. Nowak & D. C. Krakauer 1999. The evolution of language. Proc Natl Acad Sci USA 96, 8028–8033.

S. Partan & P. Marler 1999. Communication goes multimodal. Science 283, 1272–1273.

C. Rowe 1999. Receiver psychology and the evolution of multicomponent signals. Anim Behav 58, 921–931.

G. Tononi , O. Sporns & G. M. Edelman 1994. A measure for brain complexity: relating functional segregation and integration in the nervous system. Proc Natl Acad Sci USA 91, 5033–5037.

D. J. Weiss & M. D. Hauser 2002. Perception of harmonics in the combination long call of cottontop tamarins (Saguinus oedipus). Anim Behav 64, 415–426.