Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. A model of non-elemental olfactory learning in Drosophila

    Wessnitzer, J., Young, J., Armstrong, D. & Webb, B., Apr 2012, In : Journal of Computational Neuroscience. 32, 2, p. 197-212 16 p.

    Research output: Contribution to journalArticle

  2. A model of mechanotransduction in Drosophila non-ciliated, primary endings

    Suslak, T., Bewick, G., Armstrong, D. & Jarman, A., 2013.

    Research output: Contribution to conferencePoster

  3. A model of mechanotransduction in Drosophila non-ciliated, primary endings

    Suslak, T., McKay-Fletcher, J. A., Bewick, G., Armstrong, D. & Jarman, A., 2013.

    Research output: Contribution to conferencePoster

  4. A general mathematical model of transduction events in mechano-sensory stretch receptors

    Armstrong, J. D., Jarman, A. P. & Suslak, T., 2011, In : Network: Computation in Neural Systems. 22, 1-4, p. 133-42 10 p.

    Research output: Contribution to journalArticle

  5. A framework for mining life sciences data on the semantic web in an interactive, graph-based environment

    Lysenko, A., Grzebyta, J., Hindle, M. M., Rawlings, C. J. & Splendiani, A., 16 Jul 2014, Computational Intelligence Methods for Bioinformatics and Biostatistics - 10th International Meeting, CIBB 2013, Revised Selected Papers. Springer-Verlag, p. 225-237 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8452 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution