2 research outputs found

    Studies Of Sound Propagation In The Acoustic Trachea: An Experimental, Anatomical And Numerical Approach

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    Bush-crickets (Ensifera: Tettigoniidae) rely on the perception of sound to detect and localise predators and potential mates, and this has led to the development of complex ears. This is not confined to bush-crickets, and a variety of sound detection and localisation mechanisms have arisen in other ensiferans and tetrapods. This thesis aims to summarise the literature across these two groups to provide an overview of auditory anatomy and directional hearing. Bush-crickets possess ears in their forelegs to detect and localise sound predators and potential mates. Each ear consists of two tympanic membranes which are exposed to sound both externally, where sound transmits to the ear through the environment, and internally, via an ear canal derived from the respiratory system. As sound propagates through the ear canal it reduces in velocity, causing a time delay between the arrival of the internal and external input. The delay was suspected to arise as sound propagation changes from adiabatic to isothermal, caused by the ear canal geometry. If true, then the reduction in sound velocity should persist independently of the gas composition in the ear canal. This method was first simulated on a simplified plastic model of the ear canal, formed by a linear tube with an opening at one end for sound input, and a balloon membrane at the other for sound reception. A probe-loudspeaker was used to project a signal into the linear tube, and laser Doppler vibrometer recorded the arrival time of the signal at the membrane. A reduction in sound propagation velocity was observed in the linear tube. The sound propagation velocity through air and carbon dioxide was also quantified. Experiments were then conducted on specimens of Copiphora gorgonensis. By integrating laser Doppler vibrometry, micro-CT scanning, and numerical analysis on 3D geometries of each experimental animal ear, we demonstrate that the narrowing radius of the ear canal is the main factor reducing sound velocity. The numerical simulations of the sound propagation use the precise 3D geometry of the ear canal and take into account the viscous and thermal boundary layers formed near the wall of the ear canal; whose thickness also depend on the tube radius. Likewise, the ear canal is asymmetrically bifurcated at the tympana organ location (one branch for each tympanic membrane) creating two additional internal sound paths and imposing different sound velocities for each tympanic membrane. Therefore, external and internal inputs add up to four auditory paths for each ear (to compare, only one for humans). Implication of findings in avian directional hearing and potential applications in acoustic triangulation devices are discussed

    Directional hearing in a silicon cricket

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    Phonotaxis is the ability to orient towards or away from sound sources. Crickets can locate conspecifics by phonotaxis to the calling (mating) song they produce, and can evade bats by negative phonotaxis from echolocation calls. The behaviour and underlying physiology have been studied in some depth, and the auditory system solves this complex problem in a unique manner. Experiments conducted on a simulation model of the system indicated that the mechanism output a directional signal to sounds ahead at calling song frequency and to sounds behind at echolocation frequencies. We suggest that this combination of responses helps simplify later processing in the cricket. To further explore this result, an analogue, very large scale integrated (aVLSI) circuit model of the mechanism was designed and built; results from testing this agreed with the simulation. The aVLSI circuit was used to test a further hypothesis about the potential advantages of the positioning of the acoustic inputs for sound localisation during walking. There was no clear advantage to the directionality of the system in their location. The aVLSI circuitry is now being extended to use on a robot along with previously modelled neural circuitry to better understand the complete sensorimotor pathway.Peer reviewe
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