|
Katherine Cameron
|
|
| email: K.Cameron@ed.ac.uk |
| Tel.: +44 131 650 5664 |
Address:
Room 2.3 Alrick Building
School of Engineering
The University of Edinburgh King's Buildings Mayfield Road Edinburgh, EH9 3JL UK |
Research
PhD
I investigated the use of spike timing correlations to create more robust analogue systems. In particular the ability of spike timing systems to adapt out the effect of transistor mismatch.
I was working as part of the EPSRC funded project Silicon Spiking Systems: Collective Parallel Computation & Adaptive Sensory Systems which was a collaboration between the universities of Edinburgh, Stirling and Oxford.
My thesis is avaliable here.
Publications
For papers in journals, transactions or proceedings of Institute of Electrical and Electronic Engineers
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Since 2011, only pre-prints of IEEE papers may be placed on the author's website.
Journal Papers:
- Z. Yang, K.L. Cameron, W. Lewinger, B. Webb, A.F. Murray; Neuromorphic Control of Stepping Pattern Generation: A Dynamic Model With Analog Circuit Implementation, IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 3, 373-384, March 2012, IEEExplore page
- T. Clayton, K.L. Cameron, B. Rae, N. Sabatier, E. Charbon , G. Leng, R. Henderson, A.F. Murray; An Implementation of a Spike-Response Model With Escape Noise Using an Avalanche Diode, IEEE Transactions on Biomedical Engineering, vol. 5, no. 3, 231-243, June 2011, IEEExplore page
- K.L. Cameron, A.F. Murray; Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation, IEEE Transactions on Neural Networks, vol. 19, no. 5, May 2008, pp 899-913 PDF
- Z. Yang, K.L. Cameron, A.F. Murray, V. Boonsobhak; An Adaptive Visual Neuronal Model Implementing Competitive Temporally Asymmetric Hebbian Learning, International Journal of Neural Systems, vol. 16, no. 3, June 2006, pp 151-162 PDF (From the World Scientific site)
- Z. Yang, A.F. Murray, F. Worgotter, K.L. Cameron, V. Boonsobhak; A Neuromorphic Depth-from-Motion Vision Model with STDP Adaptation, IEEE Transactions on Neural Networks, vol. 17, no. 2, March 2006, pp 482-495 PDF
- K.L. Cameron, V. Boonsobhak, A.F. Murray, D. Renshaw; Spike Timing Dependent Plasticity (STDP) can Ameliorate Process Variations in Neuromorphic VLSI, IEEE Transactions on Neural Networks, vol. 16, no. 6, November 2005, pp 1626-1637 PDF
Refereed Conference Papers:
- K.L. Cameron, T. Clayton, B. Rae, A.F. Murray, R. Henderson, E. Charbon ; Poisson Distributed Noise Generation for Spiking Neural Applications, 2010 IEEE International Symposium on Circuits and Systems (ISCAS 2010), 365-368, 2010 PDF
- K.L. Cameron, A.F. Murray, S. Collins; Spike Timing Dependent Adaptation for Mismatch Compensation, 2006 IEEE International Symposium on Circuits and Systems (ISCAS 2006), 1223-1226, 2006 PDF
- V. Boonsobhak, K.L. Cameron, D. Renshaw, A.F. Murray; Compensating Mismatch in a Dedicated Pixel Array for Moving Edge Detection, IEEE TENCON Conference on Analog and Digital Techniques in Electrical Engineering, D, 278-281, November 2004 PDF
- K.L. Cameron, A.F. Murray; Can Spike Timing Dependent Plasticity Compensate for Process Mismatch in Neuromorphic Analogue VLSI?, 2004 IEEE International Symposium on Circuits and Systems (ISCAS 2004), V, 748-751, 2004 PDF
Book Chapters:
- K.L. Cameron, Z. Yang, A.F. Murray; Spike Timing Dependent Plasticity: A Route to Robustness in Hardware and Algorithms, Neural Computation and Particle Accelerators: Research, Technology and Applications, 369-403, 2011/3, ISSN 1607412802
Abstracts:
- Z. Yang, K.L. Cameron, V. Boonsobhak, A.F. Murray; A Cognitive Vision Model with STDP Adaptation, 8th International Conference on Cognitive and Neural Systems , 73, May 2004 PDF
Invited Talks:
- "Spiking Neurons, Noisy Neurons - What can we Learn from Them?", Gatsby Unit, University College London. 15th March 2011. Abstract
- "Spiking Neurons, Noisy Neurons - What can we Learn from Them?", The 11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL, 3rd September 2010. Abstract