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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jindong Liu Erwin, H. Guang-Zhong Yang |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Computing, Engineering and Technology, University of Sunderland, United Kingdom (Erwin, H.) || Department of Computing, Imperial College London, United Kingdom (Jindong Liu; Guang-Zhong Yang) |
| Abstract | In this paper, an auditory attention driven computational model of the auditory midbrain is proposed based on a spiking neural network [17] in order to localize attended sound sources in reverberant environments. Both bottom-up attention driven by sensors and top-down attention driven by the cortex are modeled at the level of an auditory midbrain nucleus - the inferior colliculus (IC). Improvements of the model in [17] is made to increase biological plausibility. First, inter-neuron inhibitions are modeled among the IC neurons which have the same characteristic frequency but different spatial response. This is designed to mimic the precedence effect [15] to produce localization results in reverberate environments. Secondly, descending projections from the auditory cortex (AC) to the IC are model to simulate the top-down attention so that focused sound sources can be better sensed in noise or multiple sound source situations. Our model is implemented on a mobile robot with a manikin head equipped with binaural microphones and tested in a real environment. The results shows that our attention driven model can give more accurate localization results than prior models. |
| Starting Page | 1251 |
| Ending Page | 1258 |
| File Size | 682367 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424496358 |
| ISSN | 21614407 |
| e-ISBN | 9781424496372 |
| DOI | 10.1109/IJCNN.2011.6033367 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Integrated circuit modeling Biological system modeling Neurons Brain modeling Azimuth Computational modeling |
| Content Type | Text |
| Resource Type | Article |
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