An Efficient and Perceptually Motivated Auditory Neural Encoding and Decoding Algorithm for Spiking Neural Networks

The auditory front-end is an integral part of a spiking neural network (SNN) when performing auditory cognitive tasks. It encodes the temporal dynamic stimulus, such as speech and audio, into an efficient, effective and reconstructable spike pattern to facilitate the subsequent processing. However,...

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Vydáno v:	Frontiers in neuroscience Ročník 13; s. 1420
Hlavní autoři:	Pan, Zihan, Chua, Yansong, Wu, Jibin, Zhang, Malu, Li, Haizhou, Ambikairajah, Eliathamby
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Research Foundation 22.01.2020 Frontiers Media S.A
Témata:	auditory masking effects Auditory nerve auditory perception Auditory system Classification Cochlea Cognitive ability Datasets Deep learning Firing pattern Hair cells Hearing Information processing Neural coding neural encoding Neural networks Neuroscience Speech Speech recognition spike database spiking neural network Voice recognition Workloads neural encoding auditory masking effects auditory perception spiking neural network spike database
ISSN:	1662-453X, 1662-4548, 1662-453X
On-line přístup:	Získat plný text
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