Online Writing

• Nov 12, 2018

  First Steps in Developing Selective Neural Networks

• Jan 23, 2019

  PhD Thesis Summary: Constructive Spiking Neural Networks for Simulations of Neuroplasticity

Publications

• Lightheart T (2018), Constructive spiking neural networks for simulations of neuroplasticity, PhD Thesis, URL: http://hdl.handle.net/2440/115481
• Lightheart T, Grainger S, and Lu T-F (2017), Continual one-shot learning of hidden spike-patterns with neural network simulation expansion and STDP convergence prediction, arXiv, 1708.09072. URL: https://arxiv.org/abs/1708.09072
• Lightheart T, Grainger S, and Lu T-F (2013), Spike-timing-dependent construction, Neural Computation, Vol. 25, No. 10, pp. 2611-45. URL: https://doi.org/10.1162/NECO_a_00501
• Lightheart T, Grainger S, and Lu T-F (2011), Constructive neural reinforcement learning for autonomous mobile robots, International Conference on Mechatronics Technology, Melbourne, Australia. [CD Proceedings]
• Lightheart T, Grainger S, and Lu T-F (2010), A constructive spiking neural network for reinforcement learning in autonomous control, Australasian Conference on Robotics and Automation, Brisbane, Australia. (Best Student Paper Nomination.) URL: http://www.araa.asn.au/acra/acra2010/papers/pap155s1-file1.pdf