Frontiers in Physiology (Aug 2014)

Time and timing in the acoustic recognition system of crickets

  • Ralf Matthias Hennig,
  • Klaus-Gerhard eHeller,
  • Jan eClemens

DOI
https://doi.org/10.3389/fphys.2014.00286
Journal volume & issue
Vol. 5

Abstract

Read online

The songs of many insects exhibit precise timing as the result of repetitive and stereotyped subunits on several time scales. As these signals encode the identity of a species, time and timing are important for the recognition system that analyzes these signals. Crickets are a prominent example as their songs are built from sound pulses that are broadcast in a long trill or as a chirped song. This pattern appears to be analyzed on two timescales, short and long.Recent evidence suggests that song recognition in crickets relies on two computations with respect to time; a short Gabor function as part of a linear-nonlinear (LN) model that operates as a filter for pulse rate and a longer integration time window for monitoring song energy over time. Therefore there is a twofold role for timing. A filter for pulse rate shows differentiating properties for which the specific timing of excitation and inhibition is important. For an integrator, however, the duration of the time window is more important than the precise timing of events.Here, we first review evidence for the role of Gabor functions and integration time windows for song recognition in crickets. We then explore the effects of duration, frequency, phase and offset of Gabor functions as these will result in differently timed patterns of excitation and inhibition. These filter properties were compared with known preference functions of crickets and katydids. In a comparative approach, the power for song discrimination by LN-models was tested with the songs of over 100 cricket species. It is demonstrated, how the acoustic signals of crickets occupy a simple 2-dimensional space for song recognition that arises from timing, the Gabor function, and time, the integration window. Finally, we discuss the evolution of recognition systems in insects based on simple sensory computations.

Keywords