Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. MicroRNA-34a Acutely Regulates Synaptic Efficacy in the Adult Dentate Gyrus In Vivo

    Berentsen, B., Patil, S., Rønnestad, K., Goff, K. M., Pajak, M., Simpson, T. I., Wibrand, K. & Bramham, C. R., 21 Nov 2019, In : Molecular Neurobiology. 14 p.

    Research output: Contribution to journalArticle

  2. Chapter Two - Towards a Systems Level Understanding of the Oxygen Response of Escherichia coli

    Bettenbrock, K., Bai, H., Ederer, M., Green, J., Hellingwerf, K. J., Holcombe, M., Kunz, S., Rolfe, M. D., Sanguinetti, G., Sawodny, O., Sharma, P., Steinsiek, S. & Poole, R. K., 2014, Advances in Microbial Systems Biology. Vol. 64. p. 65 - 114 50 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  3. Memory Retention and Spike-Timing-Dependent Plasticity

    Billings, G. & van Rossum, M. C. W., Jun 2009, In : Journal of Neurophysiology. 101, 6, p. 2775-2788 14 p.

    Research output: Contribution to journalArticle

  4. The SM and NLO multileg working group: Summary report

    Binoth, T., Dissertori, G., Huston, J., Pittau, R., andersen, J., Archibald, J., Badger, S., ball, R., Bevilacqua, G., Bierenbaum, I., Binoth, T., Boudjema, F., Boughezal, R., Bredenstein, A., Britto, R., Campanelli, M., Campbell, J., Carminati, L., Chachamis, G., Ciulli, V. & 75 others, Cullen, G., Czakon, M., Del Debbio, L., Denner, A., Dissertori, G., Dittmaier, S., Forte, S., Frederix, R., Frixione, S., Gardi, E., garzelli, M., Gascon-Shotkin, S., Gehrmann, T., Gehrmann-De Ridder, A., Giele, W., Gleisberg, T., glover, E., Greiner, N., Guffanti, A., -Ph. Guillet, J., van Hameren, A., Heinrich, G., Hoeche, S., Huber, M., Huston, J., Jaquier, M., Kallweit, S., Karg, S., Kauer, N., Krauss, F., latorre, J., Lazopoulos, A., Lenzi, P., Luisoni, G., Mackeprang, R., Magnea, L., Maitre, D., Majumder, D., Malamos, I., Maltoni, F., Mazumdar, K., Nadolsky, P., Nason, P., Oleari, C., Olness, F., papadopoulos, C., Passarino, G., Pilon, E., Pittau, R., Pozzorini, S., Reiter, T., Reuter, J., Rodgers, M., Rodrigo, G., Rojo, J., Sanguinetti, G., -P. Schilling, F., Schumacher, M., Schumann, S., Schwienhorst, R., Skands, P., Stenzel, H., Stoeckli, F., Thorne, R., Ubiali, M., Uwer, P., Vicini, A., Warsinsky, M., Watt, G., Weng, J., Wigmore, I., Weinzierl, S., Winter, J., Worek, M. & Zanderighi, G., 5 Mar 2010, Universite Joseph Fourier. 169 p.

    Research output: Book/ReportOther report

  5. Multi-Task Time Series Analysis applied to Drug Response Modelling

    Bird, A., Williams, C. K. I. & Hawthorne, C., 18 Apr 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. Lawrence, N. & Reid, M. (eds.). PMLR, Vol. 89. 10 p. (Proceedings of Machine Learning Research).

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

  6. EM optimization of latent-variable density models

    Bishop, C. M., Svensén, M. & Williams, C. KI., 1996, Advances in Neural Information Processing Systems 8 (NIPS 1995). MIT Press, p. 465-471 7 p.

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

  7. A Special Class of Toroidal MHD Equilibria Including Minimum-B

    Bishop, C. M. & Taylor, J. B., 1985, Proceedings 12 European Conference on Controlled Fusion and Plasma Physics, Budapest. p. 401–404 4 p.

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

  8. Multiphase flow monitoring in oil pipelines

    Bishop, C. M., 1995, Applications of Neural Networks: Section B. Murray, A. (ed.). Springer US, p. 133-155 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  9. Latent Variables, Topographic Mappings and Data Visualization

    Bishop, C., 1998, Neural Nets WIRN VIETRI-97: Proceedings of the 9th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 22–24 May 1997. Marinaro, M. & Tagliaferri, R. (eds.). Springer London, p. 3-32 30 p. (Perspectives in Neural Computing).

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

  10. Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations

    Bishop, C. M. & Connor, J. W., 1 Jan 1990, In : Plasma physics and controlled fusion. 32, 3, p. 203-211 9 p.

    Research output: Contribution to journalArticle

  11. Variational Learning in Graphical Models and Neural Networks

    Bishop, C., 1998, ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Niklasson, L., Boden, M. & Ziemke, T. (eds.). Springer London, p. 13-22 10 p. (Perspectives in Neural Computing).

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

  12. Model-based machine learning

    Bishop, C. M., 2013, In : Philosophical Transactions A: Mathematical, Physical and Engineering Sciences. 371, 1984, 20120222.

    Research output: Contribution to journalArticle

  13. Real-time Control of a Tokamak Plasma Using Neural Networks

    Bishop, C. M., Haynes, P. S., Smith, M. E. U., Todd, T. N., Trotman, D. L. & Windsor, C. G., 1994, Advances in Neural Information Processing Systems 7 (NIPS 1994). MIT Press, Vol. 7. p. 1007-1014 8 p.

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

  14. Exact Calculation of the Hessian Matrix for the Multilayer Perceptron

    Bishop, C., 1 Jul 1992, In : Neural Computation. 4, 4, p. 494-501 8 p.

    Research output: Contribution to journalArticle

  15. Modelling Conditional Probability Distributions for Periodic Variables

    Bishop, C. & Nabney, I., 1997, Mathematics of Neural Networks: Models, Algorithms and Applications. Ellacott, S., Mason, J. & Anderson, I. (eds.). Springer US, p. 118-122 5 p. (Operations Research/Computer Science Interfaces Series; vol. 8).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  16. Object Recognition via Local Patch Labelling

    Bishop, C. & Ulusoy, I., 2005, Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures. Winkler, J., Niranjan, M. & Lawrence, N. (eds.). Springer Berlin Heidelberg, Vol. 3635. p. 1-21 21 p. (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  17. Variational Principal Components

    Bishop, C. M., 1 Jan 1999, Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99. IEE, p. 509-514 6 p.

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

  18. Variational Relevance Vector Machines

    Bishop, C. M. & Tipping, M. E., 1 Jan 2000, Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann, p. 46-53 8 p.

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

  19. Magnification factors for the GTM algorithm

    Bishop, C. M., Svensén, M. & Williams, C. K. I., 1 Jan 1997, Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440). Institute of Electrical and Electronics Engineers (IEEE), p. 64–69 6 p.

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

  20. Developments of the generative topographic mapping

    Bishop, C. M., Svensén, M. & Williams, C. K. I., Nov 1998, In : Neurocomputing. 21, 1–3, p. 203-224 22 p.

    Research output: Contribution to journalArticle

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