Literature DB >> 11467498

Song pattern recognition in the grasshopper Chorthippus biguttulus: the mechanism of syllable onset and offset detection.

R Balakrishnan1, D von Helversen, O von Helversen.   

Abstract

The male song of the duetting grasshopper Chorthippus biguttulus consists of syllables alternating with noisy pauses. The syllable-pause structure is important for song recognition by the female. Using playback experiments we investigated the mechanism by which intensity modulations within the song pattern are used to detect syllable onsets and offsets. We varied the relative onset level (level of the syllable beginning relative to the noisy pause) and the relative offset level (level of the noisy pause relative to the syllable end) independently in different experiments. For all females, an increase in intensity defining the syllable onset was necessary to evoke responses. Syllable offset cues were not always necessary: some females responded to continuous noise stimuli wherein only syllable onsets were marked by short pulses of high intensity. Those females that did not require syllable offset cues did not, however, lack a functional pause detection mechanism, since their responses to model songs containing silent pauses were restricted to a given range of pause durations. We propose that syllable-pause detection involves two independent processes: (1) syllable onset detection by a phasic neuronal unit that can be re-activated only after a short pause, and (2) the rejection of unacceptably long pauses by a second unit.

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Year:  2001        PMID: 11467498     DOI: 10.1007/s003590100197

Source DB:  PubMed          Journal:  J Comp Physiol A            Impact factor:   1.836


  21 in total

1.  Neuronal adaptation improves the recognition of temporal patterns in a grasshopper.

Authors:  B Ronacher; R M Hennig
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-02-07       Impact factor: 1.836

2.  Searching for optimal sensory signals: iterative stimulus reconstruction in closed-loop experiments.

Authors:  Fredrik Edin; Christian K Machens; Hartmut Schütze; Andreas V M Herz
Journal:  J Comput Neurosci       Date:  2004 Jul-Aug       Impact factor: 1.621

Review 3.  Variability of spike trains and the processing of temporal patterns of acoustic signals-problems, constraints, and solutions.

Authors:  B Ronacher; A Franz; S Wohlgemuth; R M Hennig
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-02-11       Impact factor: 1.836

4.  Grasshopper calling songs convey information about condition and health of males.

Authors:  Nicole Stange; Bernhard Ronacher
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-01-13       Impact factor: 1.836

5.  A neural network-based analysis of acoustic courtship signals and female responses in Chorthippus biguttulus grasshoppers.

Authors:  Jan P Wittmann; Munjong Kolss; Klaus Reinhold
Journal:  J Comput Neurosci       Date:  2010-12-21       Impact factor: 1.621

6.  The role of frequency, phase and time for processing of amplitude modulated signals by grasshoppers.

Authors:  A Schmidt; B Ronacher; R M Hennig
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2007-11-28       Impact factor: 1.836

7.  Feature extraction and integration underlying perceptual decision making during courtship behavior.

Authors:  Jan Clemens; Bernhard Ronacher
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

8.  Song characteristics and morphological traits in four populations of the grasshopper Chorthippus biguttulus L.

Authors:  Nicole Stange; Bernhard Ronacher
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-08-23       Impact factor: 1.836

Review 9.  Computational principles underlying recognition of acoustic signals in grasshoppers and crickets.

Authors:  Bernhard Ronacher; R Matthias Hennig; Jan Clemens
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2014-09-26       Impact factor: 1.836

10.  Robustness of an innate releasing mechanism against degradation of acoustic communication signals in the grasshopper Chorthippus biguttulus.

Authors:  Stefanie Krämer; Bernhard Ronacher
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2018-01-02       Impact factor: 1.836

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