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https://doi.org/10.1109/biocas...
Article . 2017 . Peer-reviewed
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Parallel Distribution of an Inner Hair Cell and Auditory Nerve Model for Real-Time Application

Authors: Robert James; Jim Garside; Michael Hopkins; Luis A. Plana; Steve Temple; Simon Davidson; Steve Furber;
APC: 1,829.48 EUR

Parallel Distribution of an Inner Hair Cell and Auditory Nerve Model for Real-Time Application

Abstract

This paper summarizes recent efforts in implementing a model of the ear's inner hair cell and auditory nerve on a neuromorphic hardware platform, the SpiNNaker machine. This exploits the massive parallelism of the target architecture to obtain real-time modeling of a biologically realistic number of human auditory nerve fibres. We show how this model can be integrated with additional modules that simulate previous stages of the early auditory pathway running on the same hardware architecture, thus producing a full-scale spiking auditory nerve output from a single sound stimulus. The results of the SpiNNaker implementation are shown to be comparable with a MATLAB version of the same model algorithms, while removing the inherent performance limitations associated with an increase in auditory model scale that are seen in the conventional computer simulations. Finally, we outline the potential for using this system as part of a full-scale, real-time digital model of the complete human auditory pathway on the SpiNNaker platform.

Country
United Kingdom
Related Organizations
Keywords

Hair Cells, Auditory, Inner, Models, Neurological, neuromorphic computing, Real-time simulation, SpiNNaker, Inner hair cell, Humans, auditory pathway modelling, auditory nerve, Cochlear Nerve, Algorithms

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Green
hybrid