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Now showing items 1 - 3 of 3

  • Long rise times of sound pulses in grasshopper songs improve the directionality cues received by the CNS from the auditory receptors

    R. Krahe   B. Ronacher  

    Auditory receptors of the locust (Locusta migratoria) were investigated with respect to the directionality cues which are present in their spiking responses, with special emphasis on how directional cues are influenced by the rise time of sound signals. Intensity differences between the ears influence two possible cues in the receptor responses, spike count and response latency. Variation in rise time of sound pulses had little effect on the overall spike count; however, it had a substantial effect on the temporal distribution of the receptor's spiking response, especially on the latencies of first spikes. In particular, with ramplike stimuli the slope of the latency vs. intensity curves was steeper as compared to stimuli with steep onsets (Fig. 3). Stimuli with flat ramplike onsets lead to an increase of the latency differences of discharges between left and right tympanic receptors. This type of ramplike stimulus could thus facilitate directional hearing. This hypothesis was corroborated by a Monte Carlo simulation in which the probability of incorrect directional decisions was determined on the basis of the receptor latencies and spike counts. Slowly rising ramps significantly improved the decisions based on response latency, as compared to stimuli with sudden onsets (Fig. 4). These results are compared to behavioural results obtained with the grasshopper Ch. biguttulus. The stridulation signals of the females of this species consist of ramplike pulses, which could be an adaptation to facilitate directional hearing of phonotactically approaching males.
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  • P.363 - DM2-linked myopathy caused by uninterrupted short (CCTG)50–70 repeat expansion in CNBP

    T. Suominen   L. Bachinski   O. Raheem   H. Haapasalo   W. Kress   R. Krahe   B. Udd  

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  • P.472 - Unexpected gene expression findings in the titinopathy mouse model FINmaj-KI using RNA-Seq

    P. Jonson   R. Krahe   I. Richard   B. Peng   P. Hackman   B. Udd  

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