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ORCIDHarry R. Erwin
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2010 – 2019
- 2011
[c10]John C. Murray, Harry R. Erwin:
A neural network classifier for notch filter classification of sound-source elevation in a mobile robot. IJCNN 2011: 763-769- [c9]Jindong Liu, Harry R. Erwin, Guang-Zhong Yang:
Attention driven computational model of the auditory midbrain for sound localization in reverberant environments. IJCNN 2011: 1251-1258 - 2010
- [j6]Jindong Liu, David Pérez-González
, Adrian Rees, Harry R. Erwin, Stefan Wermter:
A biologically inspired spiking neural network model of the auditory midbrain for sound source localisation. Neurocomputing 74(1-3): 129-139 (2010)
2000 – 2009
- 2009
- [j5]John C. Murray, Harry R. Erwin, Stefan Wermter:
Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks 22(2): 173-189 (2009) - [c8]Jindong Liu, David Pérez-González, Adrian Rees, Harry R. Erwin, Stefan Wermter:
Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain. ICANN (1) 2009: 208-217 - [c7]Jindong Liu, David Pérez-González, Adrian Rees, Harry R. Erwin, Stefan Wermter:
A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. IJCNN 2009: 1855-1862 - 2008
- [j4]Walter J. Freeman, Harry R. Erwin:
Freeman K-set. Scholarpedia 3(2): 3238 (2008) - [c6]Jindong Liu, Harry R. Erwin, Stefan Wermter, Mahmoud Elsaid:
A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus. ICANN (2) 2008: 396-405 - [c5]Jindong Liu, Harry R. Erwin, Stefan Wermter:
Mobile robot broadband sound localisation using a biologically inspired spiking neural network. IROS 2008: 2191-2196 - 2006
- [c4]John C. Murray, Stefan Wermter, Harry R. Erwin:
Bioinspired Auditory Sound Localisation for Improving the Signal to Noise Ratio of Socially Interactive Robots. IROS 2006: 1206-1211 - 2005
- [c3]John C. Murray, Stefan Wermter, Harry R. Erwin:
Auditory robotic tracking of sound sources using hybrid cross-correlation and recurrent networks. IROS 2005: 3554-3559 - [c2]John C. Murray, Harry R. Erwin, Stefan Wermter:
A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots. Biomimetic Neural Learning for Intelligent Robots 2005: 73-87 - 2004
- [j3]Stefan Wermter, Cornelius Weber, Mark Elshaw, Christo Panchev, Harry R. Erwin, Friedemann Pulvermüller:
Towards multimodal neural robot learning. Robotics Auton. Syst. 47(2-3): 171-175 (2004)
1990 – 1999
- 1996
- [j2]Paul S. Prueitt, Harry R. Erwin:
Learning as self-organization not self-gratification: The Fourth Appalachian Conference on Behavioral Neurodynamics. Neurocomputing 11(2-4): 323-328 (1996)
1980 – 1989
- 1989
- [j1]Harry R. Erwin:
Mixing and Sensitive Dependence on Initial Conditions in Computer Systems. Comput. Meas. Group Trans. 1(2): 3-5 (1989) - 1988
- [c1]Harry R. Erwin:
Performance Engineering Techniques for Complex Dynamic Systems. Int. CMG Conference 1988: 1-4
Coauthor Index
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