 | 2011 |
| 16 |  | 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 |
| 15 |  | 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 |
| 2010 |
| 14 |  | Jindong Liu,
David Perez-Gonzalez,
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) |
| 2009 |
| 13 |  | Jindong Liu,
David Perez-Gonzalez,
Adrian Rees,
Harry R. Erwin,
Stefan Wermter:
Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain.
ICANN (1) 2009: 208-217 |
| 12 |  | Jindong Liu,
David Perez-Gonzalez,
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 |
| 11 |  | 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) |
| 2008 |
| 10 |  | 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 |
| 9 |  | Jindong Liu,
Harry R. Erwin,
Stefan Wermter:
Mobile robot broadband sound localisation using a biologically inspired spiking neural network.
IROS 2008: 2191-2196 |
| 8 |  | Walter J. Freeman,
Harry R. Erwin:
Freeman K-set.
Scholarpedia 3(2): 3238 (2008) |
| 2006 |
| 7 |  | 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 |
| 6 |  | 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 |
| 5 |  | 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 |
| 2004 |
| 4 |  | Stefan Wermter,
Cornelius Weber,
Mark Elshaw,
Christo Panchev,
Harry R. Erwin,
Friedemann Pulvermüller:
Towards multimodal neural robot learning.
Robotics and Autonomous Systems 47(2-3): 171-175 (2004) |
| 1996 |
| 3 |  | 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) |
| 1989 |
| 2 |  | Harry R. Erwin:
Mixing and Sensitive Dependence on Initial Conditions in Computer Systems.
CMG Transactions 1(2): 3-5 (1989) |
| 1988 |
| 1 |  | Harry R. Erwin:
Performance Engineering Techniques for Complex Dynamic Systems.
Int. CMG Conference 1988: 1-4 |