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First published online May 19, 2008
Journal of Experimental Biology 211, 1819-1828 (2008)
Published by The Company of Biologists 2008
doi: 10.1242/jeb.016402
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The adaptive evolution and processing of sensory systems

Computational mechanisms of mechanosensory processing in the cricket

Gwen A. Jacobs*, John P. Miller and Zane Aldworth

Center for Computational Biology, 1 Lewis Hall, Montana State University, Bozeman, MT 59717, USA

* Author for correspondence (e-mail: gwen{at}cns.montana.edu)

Accepted 28 March 2008

Summary

Crickets and many other orthopteran insects face the challenge of gathering sensory information from the environment from a set of multi-modal sensory organs and transforming these stimuli into patterns of neural activity that can encode behaviorally relevant stimuli. The cercal mechanosensory system transduces low frequency air movements near the animal's body and is involved in many behaviors including escape from predators, orientation with respect to gravity, flight steering, aggression and mating behaviors. Three populations of neurons are sensitive to both the direction and dynamics of air currents: an array of mechanoreceptor-coupled sensory neurons, identified local interneurons and identified projection interneurons. The sensory neurons form a functional map of air current direction within the central nervous system that represents the direction of air currents as three-dimensional spatio-temporal activity patterns. These dynamic activity patterns provide excitatory input to interneurons whose sensitivity and spiking output depend on the location of the neuronal arbors within the sensory map and the biophysical and electronic properties of the cell structure. Sets of bilaterally symmetric interneurons can encode the direction of an air current stimulus by their ensemble activity patterns, functioning much like a Cartesian coordinate system. These interneurons are capable of responding to specific dynamic stimuli with precise temporal patterns of action potentials that may encode these stimuli using temporal encoding schemes. Thus, a relatively simple mechanosensory system employs a variety of complex computational mechanisms to provide the animal with relevant information about its environment.

Key words: cricket, mechanoreception, neural coding, neural maps


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