Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Towards learning analytics adoption: A mixed methods study of data-related practices and policies in Latin American universities

    Hilliger, I., Ortiz-Rojas, M., Pesántez-Cabrera, P., Scheihing, E., Tsai, Y-S., Muñoz-Merino, P. J., Broos, T., Whitelock-Wainwright, A., Gašević, D. & Pérez-Sanagustín, M., 31 Jul 2020, In : British Journal of Educational Technology. 51, 4, p. 915–937 23 p.

    Research output: Contribution to journalArticle

  2. Towards tracking homeostais on high-density multi-electrode arrays

    Panas, D., Maccione, A., Berdondini, L. & Hennig, M., Sep 2012.

    Research output: Contribution to conferencePoster

  3. Tracking of Individual Mice in a Social Setting Using Video Tracking Combined with RFID tags

    Armstrong, J. D., Acevedo-Arozena, A., Bains, R. S., Cater, H., Chartsias, A., Nolan, P., Sneddon, D., Sillito, R. & Wells, S., 25 May 2016, Proceedings of Measuring Behavior 2016: 10th International Conference on Methods and Techniques in Behavioral Research. Spink, A. J., Riedel, G., Zhou, L., Teekens, L., Albatal, R. & Gurrin, C. (eds.). Dublin, Ireland, p. 413-416 4 p.

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

  4. Tract shape modelling provides evidence of topological change in corpus callosum genu during normal ageing

    Bastin, M. E., Piatkowski, J. P., Storkey, A. J., Brown, L. J., MacLullich, A. M. J. & Clayden, J. D., 15 Oct 2008, In : NeuroImage. 43, 1, p. 20-28 9 p.

    Research output: Contribution to journalArticle

  5. Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities

    Adams, R. P., Murray, I. & MacKay, D. J. C., 2009, Proceedings of the 26th International Conference on Machine Learning. 8 p.

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

  6. TractoR: Magnetic Resonance Imaging and Tractography with R

    Clayden, J. D., Maniega, S. M., Storkey, A. J., King, M. D., Bastin, M. E. & Clark, C. A., Oct 2011, In : Journal of statistical software. 44, 8, p. 1-18 18 p.

    Research output: Contribution to journalArticle

  7. Training Deep Convolutional Neural Networks to Play Go

    Clark, C. & Storkey, A., 2015, Proceedings of the 32nd International Conference on Machine Learning (IMCL 2015). Lille, France: PMLR, Vol. 37. p. 1766-1774 9 p.

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

  8. Transcript Profiling and Inference of Escherichia coli K-12 ArcA Activity across the Range of Physiologically Relevant Oxygen Concentrations

    Rolfe, M. D., Ter Beek, A., Graham, A. I., Trotter, E. W., Asif, H. M. S., Sanguinetti, G., de Mattos, J. T., Poole, R. K. & Green, J., 25 Mar 2011, In : Journal of Biological Chemistry. 286, 12, p. 10147-10154 8 p.

    Research output: Contribution to journalArticle

  9. Transcription factor binding predicts histone modifications in human cell lines

    Benveniste, D., Sonntag, H-J., Sanguinetti, G. & Sproul, D., 16 Sep 2014, In : Proceedings of the National Academy of Sciences. 111, 37, p. 13367-72 6 p.

    Research output: Contribution to journalArticle