Abstract
Science has been researching on the physiology of the human hearing, and in the last decades, on the mechanism of the neural stimulus generation towards the nervous system. The objective of this research is to develop an algorithm that generalizes the stochastic spike pattern of the auditory nerve fibers (ANF) formulated by Meddis, which fulfils the Volley principle (principle that better describes the operation of the auditory system). The operating principle of the peripheral auditory system together with the models chosen to stimulate the auditory system and the characteristics of the implemented computational model are herein described. The implementation and analysis of the stochastic spike of a simple ANF and the spatial and spatial–temporal stochastic stimulation models demonstrate the superiority of the latter.
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Martínez–Rams, E.A., Garcerán–Hernández, V. (2007). ANF Stochastic Low Rate Stimulation. In: Mira, J., Álvarez, J.R. (eds) Bio-inspired Modeling of Cognitive Tasks. IWINAC 2007. Lecture Notes in Computer Science, vol 4527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73053-8_11
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DOI: https://doi.org/10.1007/978-3-540-73053-8_11
Publisher Name: Springer, Berlin, Heidelberg
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