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International 1989 Joint Conference on Neural Networks
Abstract
A biologically-inspired neural coding scheme for the early auditory system is outlined.The cochlea response is simulated with a passive gammatone filterbank.The output of each bandpass filter is spike-encoded using a zero-crossing based method over a range of sensitivity levels.The scheme is inspired by the highly parallellised nature of the auditory nerve innervation within the cochlea.A key aspect of early auditory processing is simulated, namely that of onset detection, using leaky integrate-and-fire neuron models.Finally, a time-domain neural network (the echo state network) is used to tackle the what task of auditory perception using the output of the onset detection neurons alone.
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Cites
Reservoir computing approaches to recurrent neural network training
Lukoševičius, M., & Jaeger, H. (2009) · Computer Science Review · doi:10.1016/j.cosrev.2009.03.005 · Cited by 2,956
Phoneme recognition using time-delay neural networks
Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., & Lang, K. J. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.21701 · Cited by 2,643
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Metadata
- Publisher
- IEEE
- Published
- 1989
- OpenAlex
- W3149348938
- Cited by
- 596
- References
- 2
- Type
- paratext
- Language
- en
- Open access
- closed
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