Using a Physical Cochlear Model to Predict Masker Phase Effects in Hearing-Impaired Listeners: A Role of Peripheral Compression

Vencovský, Václav; Rund, Frantisek

doi:10.3813/aaa.918953

Cited by 2 publications

(2 citation statements)

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“…Phases of the basilar membrane traveling wave play a crucial role in delays between left and right cochlea (Joris et al. 2006b ; Vencovsky and Rund 2016 ). The cochlear delay theory is based on recordings from different nuclei of the auditory pathway including the spiral ganglion of the auditory nerve in cat.…”

Section: Discussion and Prospectsmentioning

confidence: 99%

Ergodicity and parameter estimates in auditory neural circuits

2017

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This paper discusses ergodic properties and circular statistical characteristics in neuronal spike trains. Ergodicity means that the average taken over a long time period and over smaller population should equal the average in less time and larger population. The objectives are to show simple examples of design and validation of a neuronal model, where the ergodicity assumption helps find correspondence between variables and parameters. The methods used are analytical and numerical computations, numerical models of phenomenological spiking neurons and neuronal circuits. Results obtained using these methods are the following. They are: a formula to calculate vector strength of neural spike timing dependent on the spike train parameters, description of parameters of spike train variability and model of output spiking density based on assumption of the computation realized by sound localization neural circuit. Theoretical results are illustrated by references to experimental data. Examples of neurons where spike trains have and do not have the ergodic property are then discussed.

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Section: Discussion and Prospectsmentioning

confidence: 99%

Ergodicity and parameter estimates in auditory neural circuits

2017

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“…To implement the loudness change is much simpler than to record and implement microsecond time delay. Therefore in sound generation and processing, most of current auditory technology works as if the more important of the two localization cues in Homo sapiens were the sound intensity cue [Vencovský and Rund, 2016].…”

Section: Introductionmentioning

confidence: 99%

On the precision of neural computation with interaural time differences in the medial superior olive

Marsalek,

Sanda,

Bures

2020

Preprint

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Incoming sound is in cochlea and auditory nerve encoded into spike trains. At the third neuron of the auditory pathway, spike trains of the left and right sides are processed in brainstem nuclei to yield sound localization information. Two different localization encoding mechanisms are employed in two "centers" for low and high sound frequencies in the brainstem. The centers are superior olivary nuclei, medial and lateral. This paper contains analytical estimates of parameters needed in description of auditory coding in sound localization neural circuit. Our model spike trains are based on electro-physiological recordings. We arrive to best estimates for neuronal signaling with the use of just noticeable difference of the ideal observer. We describe spike timing jitter and its role in the spike train processing. We study frequency dependence of spike trains on the sound frequency. All parameters are accompanied with detailed estimates of their values and variability. Intervals bounding all the parameter from lower and higher values are discussed.

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Using a Physical Cochlear Model to Predict Masker Phase Effects in Hearing-Impaired Listeners: A Role of Peripheral Compression

Cited by 2 publications

References 0 publications

Ergodicity and parameter estimates in auditory neural circuits

Ergodicity and parameter estimates in auditory neural circuits

On the precision of neural computation with interaural time differences in the medial superior olive

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