|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Biologically-inspired neural coding of sound onset for a musical sound classification task|
|Citation:||Newton M & Smith L (2011) Biologically-inspired neural coding of sound onset for a musical sound classification task In: The 2011 International Joint Conference on Neural Networks (IJCNN), San Jose, California: Institute of Electrical and Electronics Engineers (IEEE). The 2011 International Joint Conference on Neural Networks, pp. 1386-1393.|
|Conference Name:||The 2011 International 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 neuron alone.|
|Rights:||© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; Newton, M.J.; Smith, L.S.; , "Biologically-inspired neural coding of sound onset for a musical sound classification task," Neural Networks (IJCNN), The 2011 International Joint Conference on, pp.1386-1393, July 31 2011-Aug. 5 2011 doi: 10.1109/IJCNN.2011.6033386 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6033386&isnumber=6033131|
|Affiliation:||Computing Science - CSM Dept|
Computing Science - CSM Dept
|MichaelNewton_LeslieSmith_IJCNN2011_Onsets.pdf||923.45 kB||Adobe PDF||View/Open|
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