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. Functional disconnectivity in subjects at high genetic risk of schizophrenia

    Whalley, H. C., Simonotto, E., Marshall, I., Owens, D. G. C., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., Sep 2005, In : Brain. 128, Pt 9, p. 2097-108 12 p.

    Research output: Contribution to journalArticle

  3. fMRI correlates of state and trait effects in subjects at genetically enhanced risk of schizophrenia

    Whalley, H. C., Simonotto, E., Flett, S., Marshall, I., Ebmeier, K. P., Owens, D. G. C., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., Mar 2004, In : Brain. 127, Pt 3, p. 478-90 13 p.

    Research output: Contribution to journalArticle

  4. Functional imaging as a predictor of schizophrenia

    Whalley, H. C., Simonotto, E., Moorhead, W., McIntosh, A., Marshall, I., Ebmeier, K. P., Owens, D. G. C., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., 1 Sep 2006, In : Biological Psychiatry. 60, 5, p. 454-62 9 p.

    Research output: Contribution to journalArticle

  5. Assessing the validity of a learning analytics expectation instrument: A multinational study

    Whitelock-Wainwright, A., Gasevic, D., Tsai, Y-S., Drachsler, H., Scheffel, M., Muñoz-Merino, P., Tammets, K. & Delgado Kloos, C., 1 Oct 2019, (Accepted/In press) In : Journal of Computer Assisted Learning. 53 p.

    Research output: Contribution to journalArticle

  6. The Student Expectations of Learning Analytics Questionnaire (SELAQ)

    Whitelock-Wainwright, A., Gasevic, D., Tejeiro, R., Tsai, Y-S. & Bennett, K., Oct 2019, In : Journal of Computer Assisted Learning. 35, 5, p. 633-666 34 p.

    Research output: Contribution to journalArticle

  7. Event-related fMRI of word classification and successful word recognition in subjects at genetically enhanced risk of schizophrenia

    Whyte, M-C., Whalley, H. C., Simonotto, E., Flett, S., Shillcock, R., Marshall, I., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., Oct 2006, In : Psychological Medicine . 36, 10, p. 1427-39 13 p.

    Research output: Contribution to journalArticle

  8. Automating the Calibration of a Neonatal Condition Monitoring System

    Williams, C. K. I. & Stanculescu, I., 2011, Artificial Intelligence in Medicine: 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011. Proceedings. Peleg, M., Lavrac, N. & Combi, C. (eds.). Springer-Verlag GmbH, p. 240-249 10 p. (Lecture Notes in Computer Science; vol. 6747).

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

  9. A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data

    Williams, B. H., Toussaint, M. & Storkey, A. J., 2007, IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007. Veloso, MM. (ed.). Freiburg: IJCAI-INT JOINT CONF ARTIF INTELL, p. 1119-1124 6 p.

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

  10. Observations on the Nyström Method for Gaussian Processes

    Williams, C. K. I., Rasmussen, C. E., Schwaighofer, A. & Tresp, V., 2002, 9 p.

    Research output: Working paper