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The codes that I developed for my PhD thesis. (October 2004 to March 2008)

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DoG_Convolution - "Information recovery from rank-order encoded images" (2008)

This repository contains the matlab files that I developed as a part of my Doctoral work at the University of Manchester, School of Computer Science. The thesis link is here.

http://apt.cs.manchester.ac.uk/people/bsen/my_thesis.pdf

The files are not commented well, but if you would want to use any part of the code for your work, please drop me a mail and I am happy to walk you through the codes.

The publications that resulted out of this doctoral work are here:

  1. Basabdatta Sen Bhattacharya, Stephen B. Furber, "Biologically-inspired means for rank-order encoding images: a quantitative analysis", IEEE Transactions on Neural Networks, vol.21 (7), pp. 1087-1099, July 2010. doi:10.1109/TNN.2010.2048339
  2. Basabdatta Sen, Stephen B. Furber, “Maximising information recovery from rank-order codes”, Proc. SPIE 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007, 65700C (Ed) Belur V. Dasarathy, pp. 9-13, 9th April 2007, Orlando. doi: 10.1117/12.717799. [spie.org] [Spie Digital Library]
  3. Basabdatta Sen Bhattacharya, Stephen B. Furber, “Evaluating rank-order code performance using a biologically derived retinal model”, Proc. International Joint Conference on Neural Networks (IJCNN), pp. 2867-2874, June 2009, Atlanta. [doi] [ieee Xplore]
  4. Basabdatta Sen Bhattacharya, Stephen B. Furber, “A biologically inspired algorithm to deal with filter-overlap in retinal models”, BMC Neuroscience 2009, 10 (Suppl 1):P126. [open access] Poster presentation at the 18th Annual Computational Neuroscience Meeting (CNS 2009), July 2009, Berlin.
  5. Basabdatta Sen, Stephen B. Furber, “Information recovery from rank-order encoded images”, Proc. International Workshop on Biologically Inspired Information Fusion, pp. 8-12, August 2006, Surrey.

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