A phenomenological model of the synapse between the inner hair cell and auditory nerve: Implications of limited neurotransmitter release sites

Bruce, Ian C.; Erfani, Yousof; Zilany, Muhammad S. A.

doi:10.1016/j.heares.2017.12.016

Cited by 112 publications

(144 citation statements)

References 39 publications

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“…Simulated population responses for the ASSR stimuli based on the model of the auditory periphery by Bruce et al (2018). The averaged period responses are repeated, such that two periods are visualized.…”

Section: Model Of the Auditory Periphery - Resultsmentioning

confidence: 99%

“…Simulated population responses for a subset of the second stimulus set based on the neurograms outputted by the model of the auditory periphery by Bruce et al (2018). The full stimulus set contained 11 stimuli per condition, corresponding to 11 different values of the varied parameter.…”

Section: Model Of the Auditory Periphery - Resultsmentioning

confidence: 99%

“…To help understand the effects of the envelope parameters found in the ASSR measurements, we simulated auditory nerve responses with a model of the auditory periphery by Bruce et al (2018). This phenomenological model has a long history and was very recently updated (Carney, 1993; Zhang et al, 2001; Bruce et al, 2003; Zilany and Bruce, 2006, 2007; Zilany et al, 2009, 2014; Bruce et al, 2018). It requires a sound-pressure wave as input and provides simulated spike times from auditory nerve fibers with different characteristic frequencies (CF) as output.…”

Section: Model Of the Auditory Periphery - Methodsmentioning

confidence: 99%

“…The output from the model can be visualized in a neurogram (an example is given in figure 5). For a more detailed description of the model, we refer to Bruce et al (2018).…”

Section: Model Of the Auditory Periphery - Methodsmentioning

confidence: 99%

“… Left: 5 periods of the 20 period long stimulus used as input for the model. Right: corresponding output of the model of the auditory periphery by Bruce et al (2018) visualized in a neurogram. Each time bin of the neurogram has a length of 3.2 ms.…”

Section: Model Of the Auditory Periphery - Methodsmentioning

confidence: 99%

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The effect of stimulus envelope shape on the auditory steady-state response

Canneyt

Hofmann

Wouters

et al. 2019

Preprint

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4Auditory steady-state responses (ASSRs) are auditory evoked potentials that reflect phase-locked neural activity to periodic stimuli. ASSRs are often evoked by tones with a modulated envelope, with sinusoidal envelopes being most common. However, it is unclear if and how the shape of the envelope affects ASSR responses. In this study, we used various trapezoidal modulated tones to evoke ASSRs (modulation frequency = 40 Hz) and studied the effect of four envelope parameters: attack time, hold time, decay time and off time. ASSR measurements in 20 normal hearing subjects showed that envelope shape significantly influenced responses: increased off time and/or increased decay time led to responses with a larger signal-to-noise-ratio (SNR). Response phase delay was significantly influenced by attack time and to a lesser degree by off time. We also simulated neural population responses that approximate ASSRs with a model of the auditory periphery (Bruce et al. 2018). The modulation depth of the simulated responses, i.e. the difference between maximum and minimum firing rate, correlated highly with the response SNRs found in the ASSR measurements. Longer decay time and off time enhanced the modulation depth both by decreasing the minimum firing rate and by increasing the maximum firing rate. In conclusion, custom envelopes with long decay and off time provide larger response SNRs and the benefit over the commonly used sinusoidal envelope was in the range of several dB.

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Section: Model Of the Auditory Periphery - Resultsmentioning

confidence: 99%

Section: Model Of the Auditory Periphery - Resultsmentioning

confidence: 99%

Section: Model Of the Auditory Periphery - Methodsmentioning

confidence: 99%

“…The output from the model can be visualized in a neurogram (an example is given in figure 5). For a more detailed description of the model, we refer to Bruce et al (2018).…”

Section: Model Of the Auditory Periphery - Methodsmentioning

confidence: 99%

Section: Model Of the Auditory Periphery - Methodsmentioning

confidence: 99%

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