Auditory Nerve

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Akio Asai - One of the best experts on this subject based on the ideXlab platform.

Soichi Oya - One of the best experts on this subject based on the ideXlab platform.

Michael J. Ebersold - One of the best experts on this subject based on the ideXlab platform.

Toru Matsui - One of the best experts on this subject based on the ideXlab platform.

Frank Rattay - One of the best experts on this subject based on the ideXlab platform.

  • Classifying Auditory Nerve patterns with neural nets: a modeling study with low level signals
    Simulation Practice and Theory, 1998
    Co-Authors: Frank Rattay, Alice Mladenka, Juliana Pontes Pinto
    Abstract:

    Abstract In man, 30,000 fibers of the primary Auditory Nerve connect the receptor cells of the inner ear with the central Auditory nervous system. The acoustic information in the Auditory Nerve is binary coded: in every fiber up to 400 impulses (spikes) per second are propagated. However, the pattern is disturbed by the spontaneous activity of the nervous system, i.e. without any acoustic signal the high sensitive fibers transfer up to 160 spikes/s. This spontaneous activity seems to be of high importance for detecting low level acoustic signals. The purpose of this study is to use artificial neural network techniques in order to detect any low level Auditory information that is hidden in a simulated spiking pattern of the Auditory Nerve. Sinusoidal stimuli with a signal to noise ratio as low as 1 10 can be recognized from the simulated firing pattern of a single Auditory Nerve fiber.

  • Simulation of the electrically stimulated Auditory Nerve.
    Artificial organs, 1997
    Co-Authors: Frank Rattay
    Abstract:

    The electrically generated firing pattern in the fibers of the primary Auditory Nerve is simulated for a monopolar stimulating electrode. Using an analogous input speech signal, the spiking pattern produced with a single electrode has a simple structure, which unfortunately makes no use of the 2 important coding principles used by nature. By computer simulation, it is possible to obtain an approximation of the firing pattern of the Auditory Nerve fibers. Listening to the information carried by the compound action potential of the Auditory Nerve demonstrates that speech signals with dominant high-frequency components are difficult or not possible to discern. This paper presents a strategy for speech processing that seems to improve speech understanding for single-channel implant patients because neural patterns consisting of more temporal information can be generated.