Abstract | ||
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This paper presents the design and simulation results of a silicon cochlea system that has closely similar behavior as the real cochlea. A cochlea filter-bank based on the improved three-stage filter cascade structure is used to model the frequency decomposition function of the basilar membrane; a filter tuning block is designed to model the adaptive response of the cochlea; besides, an asynchronous event-triggered spike codec is employed as the system interface with bank-end spiking neural networks. As shown in the simulation results, the system has biologically faithful frequency response, impulse response, and active adaptation behavior; also the system outputs multiple band-pass channels of spikes from which the original sound input can be recovered. The proposed silicon cochlea is feasible for analog VLSI implementation so that it not only emulates the way that sounds are preprocessed in human ears but also is able match the compact physical size of a real cochlea. |
Year | DOI | Venue |
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2015 | 10.1109/IJCNN.2015.7280828 | International Joint Conference on Neural Networks |
Field | DocType | ISSN |
Impulse response,Computer science,Cochlea,Artificial intelligence,Spiking neural network,Very-large-scale integration,Codec,Frequency response,Pattern recognition,Band-pass filter,Speech recognition,Basilar membrane,Acoustics | Conference | 2161-4393 |
Citations | PageRank | References |
1 | 0.39 | 11 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shiwei Wang | 1 | 1 | 0.39 |
Thomas Jacob Koickal | 2 | 44 | 6.55 |
Godwin Enemali | 3 | 1 | 2.08 |
Luiz Carlos Gouveia | 4 | 12 | 3.07 |
Lei Wang | 5 | 141 | 37.05 |
Alister Hamilton | 6 | 117 | 19.02 |