Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. A robust data-driven macro-socioeconomic-energy model

    Roberts, S. H., Axon, C. J., Goddard, N. H., Foran, B. D. & Warr, B. S., Jul 2016, In : Sustainable Production and Consumption. 7, p. 16-36 21 p.

    Research output: Contribution to journalArticle

  2. A regularized discriminative model for the prediction of protein–peptide interactions

    Lehrach, W. P., Husmeier, D. & Williams, C. K. I., Mar 2006, In : Bioinformatics. 22, 5, p. 532-540 9 p.

    Research output: Contribution to journalArticle

  3. A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription

    Sanguinetti, G., Rattray, M. & Lawrence, N. D., Jul 2006, In : Bioinformatics. 22, 14, p. 1753-1759 7 p.

    Research output: Contribution to journalArticle

  4. A pragmatic Bayesian approach to predictive uncertainty

    Murray, I. & Snelson, E., 2006, Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Textual Entailment.: First PASCAL Machine Learning Challenges Workshop, Southampton, UK, April 11--13, 2005, Revised Selected Papers.. Quiñonero-Candela, J., Dagan, I., Magnini, B. & D'Alché-Buc, F. (eds.). Springer-Verlag GmbH, (Lecture Notes in Computer Science).

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

  5. A population code for sound locations in the auditory cortex

    Razak, K., Seitz, A. R., Yarrow, S. & Series, P., Jun 2010.

    Research output: Contribution to conferencePoster

  6. A novel approach to Drosophila neurophysiology: the targeted expression of aequorin

    Rosay, P., Kaiser, K. & Armstrong, J. D., 1999, Handbook of Molecular-Genetic Techniques for Brain and Behavior Research. Crusio, W. E. & Gerlai, R. T. (eds.). Elsevier, p. 487-495 9 p. (Techniques in the Behavioral and Neural Sciences).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  7. A non-stationary copula-based spike count model

    Onken, A., Grünewälder, S., Klaus, O., Munk, M. H. & Obermayer, K., 4 Mar 2010.

    Research output: Contribution to conferenceAbstract

  8. A new test of legibility

    Van Rossum, M., 1997, In : Quaerendo. 27, 2, p. 141-147 7 p.

    Research output: Contribution to journalArticle

  9. A new method of spike modelling and interval analysis

    MacGregor, D. J., Williams, C. K. I. & Leng, G., Jan 2009, In : Journal of Neuroscience Methods. 176, 1, p. 45-56 12 p.

    Research output: Contribution to journalArticle