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Audio Localization for Robots Using Parallel Cerebellar Models (2018)
Journal Article
Baxendale, M., Pearson, M., Nibouche, M., Secco, E., & Pipe, T. (2018). Audio Localization for Robots Using Parallel Cerebellar Models. IEEE Robotics and Automation Letters, 3(4), 3185-3192. https://doi.org/10.1109/LRA.2018.2850447

© 2016 IEEE. A robot audio localization system is presented that combines the outputs of multiple adaptive filter models of the Cerebellum to calibrate a robot's audio map for various acoustic environments. The system is inspired by the MOdular Selec... Read More about Audio Localization for Robots Using Parallel Cerebellar Models.

Biomimetic vibrissal sensing for robots (2011)
Journal Article
Charles Sullivan, J., Pearson, M. J., Pearson, M., Mitchinson, B., Sullivan, J. C., Pipe, A. G., & Prescott, T. J. (2011). Biomimetic vibrissal sensing for robots. Philosophical Transactions B: Biological Sciences, 366(1581), 3085-3096. https://doi.org/10.1098/rstb.2011.0164

Active vibrissal touch can be used to replace or to supplement sensory systems such as computer vision and, therefore, improve the sensory capacity of mobile robots. This paper describes how arrays of whisker-like touch sensors have been incorporated... Read More about Biomimetic vibrissal sensing for robots.

Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach (2007)
Journal Article
Nibouche, M., Melhuish, C., Pipe, A. G., Pearson, M. J., Pearson, M., Pipe, A. G., …Nibouche, M. (2007). Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach. IEEE Transactions on Neural Networks, 18(5), 1472-1487. https://doi.org/10.1109/TNN.2007.891203

In this paper, we present two versions of a hardware processing architecture for modeling large networks of leaky-integrate-and-fire (LIF) neurons; the second version provides performance enhancing features relative to the first. Both versions of the... Read More about Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach.

Whiskerbot: A robotic active touch system modeled on the rat whisker sensory system (2007)
Journal Article
Pearson, M. J., Pearson, M., Pipe, A. G., Melhuish, C., Mitchinson, B., & Prescott, T. J. (2007). Whiskerbot: A robotic active touch system modeled on the rat whisker sensory system. Adaptive Behavior, 15(3), 223-240. https://doi.org/10.1177/1059712307082089

The Whiskerbot project is a collaborative project between robotics engineers, computational neuroscientists and ethologists, aiming to build a biologically inspired robotic implementation of the rodent whisker sensory system. The morphology and mecha... Read More about Whiskerbot: A robotic active touch system modeled on the rat whisker sensory system.

Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex (2004)
Journal Article
Mitchinson, B., Gurney, K. N., Redgrave, P., Melhuish, C., Pipe, A. G., Pearson, M., …Prescott, T. J. (2004). Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex. Proceedings of the Royal Society B: Biological Sciences, 271(1556), 2509-2516. https://doi.org/10.1098/rspb.2004.2882

In whiskered animals, activity is evoked in the primary sensory afferent cells (trigeminal nerve) by mechanical stimulation of the whiskers. In some cell populations this activity is correlated well with continuous stimulus parameters such as whisker... Read More about Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex.