Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. A Bayesian Approach to Parameter Inference in Queueing Networks

    Wang, W., Casale, G. & Sutton, C., Aug 2016, In : ACM Transactions on Modeling and Computer Simulation. 27, 1, 26 p., 2.

    Research output: Contribution to journalArticle

  2. A Bayesian Network Model for Interesting Itemsets

    Fowkes, J. & Sutton, C., 4 Sep 2016, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2016). Riva del Garda, Italy: Springer, Cham, p. 410-425 16 p. (Lecture Notes in Computer Science ; vol. 9852).

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

  3. A Bayesian approach for structure learning in oscillating regulatory networks

    Trejo-Banos, D., Millar, A. & Sanguinetti, G., 14 Jul 2015, In : Bioinformatics. 31, 22, p. 3617-3624 8 p.

    Research output: Contribution to journalArticle

  4. A Biophysical model of long-term potentiation and synaptic tagging

    Barrett, A., Billings, G., Morris, R. G. M. & van Rossum, M. C. W., 2007.

    Research output: Contribution to conferencePoster

  5. A CONNECTIONIST MODEL OF PRELEXICAL PROCESSING IN SPOKEN WORD RECOGNITION

    LEVY, J., CHATER, N. & Shillcock, R., 1992, In : International Journal of Psychology. 27, 3-4, p. 63-63 1 p.

    Research output: Contribution to journalArticle

  6. A Case Study on Meta-generalising: A Gaussian Processes Approach

    Skolidis, G. & Sanguinetti, G., 1 Mar 2012, In : Journal of Machine Learning Research. 13, 1, p. 691-721 31 p.

    Research output: Contribution to journalArticle

  7. A Comparison of Frequentist and Bayesian Approaches to Latent Class Modelling of Susceptibility to Asthma and Patterns of Antibiotic Prescriptions in Early Life

    Belgrave, D., Bishop, C., Custovic, A., Simpson, A., Semic-Jusufagic, A., Pickles, A. & Buchan, I., 2011, Proceedings of the 26th International Workshop on Statistical Modelling. Valencia (Spain). p. 75-78 4 p.

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

  8. A Composable Strategy for Shredded Document Reconstruction

    Ranca, R. & Murray, I., 2013, Computer Analysis of Images and Patterns. Wilson, R., Hancock, E., Bors, A. & Smith, W. (eds.). Springer-Verlag GmbH, p. 324-331 8 p. (Lecture Notes in Computer Science; vol. 8048).

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

  9. A Convolutional Attention Network for Extreme Summarization of Source Code

    Allamanis, M., Peng, H. & Sutton, C., 24 Jun 2016, Proceedings of The 33rd International Conference on Machine Learning, PMLR. New York, United States: PMLR, Vol. 48. p. 2091-2100 10 p.

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

  10. A Deep and Tractable Density Estimator

    Uria, B., Murray, I. & Larochelle, H., 2014, Proceedings of The 31st International Conference on Machine Learning. Beijing, China: Journal of Machine Learning Research: Workshop and Conference Proceedings, Vol. 32. p. 467-475 9 p. (Journal of Machine Learning Research: Workshop and Conference Proceedings; vol. 32).

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

  11. A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks

    Sweeney, Y., Hellgren Kotaleski, J. & Hennig, M. H., Jul 2015, In : PLoS Computational Biology. 11, 7, e1004389.

    Research output: Contribution to journalArticle

  12. A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models

    Pihlaja, M., Gutmann, M. & Hyvärinen, A., 2010, Proc. Conf. on Uncertainty in Artificial Intelligence (UAI). Corvallis, Oregon: AUAI Press, p. 442-449 8 p.

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

  13. A Framework for Characterizing an Economy by its Energy and Socio-Economic Activities

    Roberts, S., Axon, C., Foran, B., Goddard, N. & Warr, B. S., Feb 2015, In : Sustainable Cities and Society. 14, p. 99-113 15 p.

    Research output: Contribution to journalArticle

  14. A Framework for Evaluating Approximation Methods for Gaussian Process Regression

    Chalupka, K., Williams, C. K. I. & Murray, I., 2013, In : Journal of Machine Learning Research. 14, p. 333-350 18 p.

    Research output: Contribution to journalArticle

  15. A Framework for the Quantitative Evaluation of Disentangled Representations

    Eastwood, C. & Williams, C. K. I., 3 May 2018, Sixth International Conference on Learning Representations (ICLR 2018). 15 p.

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

  16. A Frank mixture copula family for modeling higher-order correlations of neural spike counts

    Onken, A. & Obermayer, K., 2009, In : Journal of Physics: Conference Series. 197, 1, p. 1-10 10 p., 12019.

    Research output: Contribution to journalArticle

  17. A Generative Model for Parts-based Object Segmentation

    Eslami, S. M. A. & Williams, C. K. I., 2012, Advances in Neural Information Processing Systems 25. Bartlett, P., Pereira, F. C. N., Burges, C. J. C., Bottou, L. & Weinberger, K. Q. (eds.). p. 100-107 8 p.

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

  18. A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex

    Reichert, D. P., Series, P. & Storkey, A. J., 2011, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2011, PT I. Honkela, T., Duch, W., Girolami, M. & Kaski, S. (eds.). BERLIN: Springer-Verlag Berlin Heidelberg, p. 18-25 8 p. (Lecture Notes in Computer Science; vol. 6791).

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

  19. A Hierarchical Switching Linear Dynamical System Applied to the Detection of Sepsis in Neonatal Condition Monitoring

    Stanculescu, I., Williams, C. K. I. & Freer, Y., 2014, Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014). 10 p.

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

  20. A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts

    Onken, A., Dragoi, V. & Obermayer, K., 7 Jun 2012, In : PLoS Computational Biology. 8, 6, p. 1-12 12 p., e1002539.

    Research output: Contribution to journalArticle

  21. A Model for the Origin and Properties of Flicker-Induced Geometric Phosphenes

    Rule, M., Ermentrout, B. & Stoffregen, M., 29 Sep 2011, In : PLoS Computational Biology. 7, 9, p. 1-14 14 p.

    Research output: Contribution to journalArticle

  22. A Neural Circuit Mechanism Integrating Motivational State with Memory Expression in Drosophila

    Krashes, M. J., DasGupta, S., Vreede, A., White, B., Armstrong, J. D. & Waddell, S., 16 Oct 2009, In : Cell. 139, 2, p. 416-427 12 p.

    Research output: Contribution to journalArticle

  23. A Neural Network Approach to Tokamak Equilibrium Control

    Bishop, C., Cox, P., Haynes, P., Roach, C., Smith, M., Todd, T. & Trotman, D., 1992, Neural Network Applications. Taylor, J. G. (ed.). Springer London, p. 114-128 15 p. (Perspectives in Neural Computing).

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

  24. A Neural Network Model of Visual Tilt Aftereffects

    Bednar, J. A. & Miikkulainen, R., 1997, In Proceedings of the 19th Annual Conference of the Cognitive Science Society. Shafto, M. G. & Langley, P. (eds.). Erlbaum, p. 37-42 6 p.

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

  25. A New Framework for Machine Learning

    Bishop, C., 2008, Computational Intelligence: Research Frontiers: IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures. Zurada, J., Yen, G. & Wang, J. (eds.). Springer Berlin Heidelberg, p. 1-24 24 p. (Lecture Notes in Computer Science; vol. 5050).

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

  26. A New Probabilistic Generative Model of Parameter Inference in Biochemical Networks

    Lecca, P., Palmisano, A., Priami, C. & Sanguinetti, G., 2009, Proceedings of the 2009 ACM Symposium on Applied Computing. New York, NY, USA: ACM, p. 758-765 8 p. (SAC '09).

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

  27. A Novel Approach to the Analysis of Multiplexed Neural Codes

    Molano-Mazon, M., Onken, A., Safaai, H. & Panzeri, S., 23 Sep 2016. 1 p.

    Research output: Contribution to conferenceAbstract

  28. A Novel Spike Distance

    Van Rossum, M. C. W., 1 Apr 2001, In : Neural Computation. 13, 4, p. 751-763 13 p.

    Research output: Contribution to journalArticle

  29. A Nutrient-Driven tRNA Modification Alters Translational Fidelity and Genome-wide Protein Coding across an Animal Genus

    Zaborske, J. M., DuMont, V. L. B., Wallace, E. W. J., Pan, T., Aquadro, C. F. & Drummond, D. A., 9 Dec 2014, In : PLoS Biology. 12, 12, 13 p., e1002015.

    Research output: Contribution to journalMeeting abstract

  30. A Perturbative Approach to Novelty Detection in Autoregressive Models

    Filippone, M. & Sanguinetti, G., 1 Mar 2011, In : IEEE Transactions on Signal Processing. 59, 3, p. 1027-1036 10 p.

    Research output: Contribution to journalArticle

  31. 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

  32. A Probabilistic Model-Based Approach to Consistent White Matter Tract Segmentation

    Clayden, J. D., Storkey, A. J. & Bastin, M. E., 1 Nov 2007, In : IEEE Transactions on Medical Imaging. 26, 11, p. 1555-1561 7 p.

    Research output: Contribution to journalArticle

  33. A Self-Organizing Neural Network Model of the Primary Visual Cortex

    Miikkulainen, R., Bednar, J., Choe, Y. & Sirosh, J., 1998, Proceedings of the Fifth International Conference on Neural Information Processing (ICONIP'98), Volume 2. Usui, S. & Omori, T. (eds.). p. 815-818 4 p.

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

  34. A Single-Trace Dual-Process Model of Episodic Memory: A Novel Computational Account of Familiarity and Recollection

    Greve, A., Donaldson, D. I. & van Rossum, M. C. W., 21 Jul 2010, In : Hippocampus. 20, 2, p. 235-251 17 p.

    Research output: Contribution to journalArticle

  35. A Software Interface Between the Narrative Language and Bio-PEPA

    Georgoulas, A. & Guerriero, M. L., 2013, In : Electronic Proceedings in Theoretical Computer Science. 293, p. 51-65 15 p.

    Research output: Contribution to journalArticle

  36. 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

  37. A Subsequence Interleaving Model for Sequential Pattern Mining

    Fowkes, J. & Sutton, C., 13 Aug 2016, KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Francisco , United States: ACM, p. 835-844 10 p.

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

  38. A Survey of Machine Learning for Big Code and Naturalness

    Allamanis, M., Barr, E. T., Devanbu, P. & Sutton, C., 31 Jul 2018, In : ACM Computing Surveys. 51, 4, 36 p., 81.

    Research output: Contribution to journalArticle

  39. A Systematic Nomenclature for the Drosophila Ventral Nervous System

    Court, R. C., Armstrong, J. D., Borner, J., Card, G., Costa, M., Dickinson, M., Duch, C., Korff, W., Mann, R., Merritt, D., Murphey, R., Namiki, S., Seeds, A., Shepherd, D., Shirangi, T., Simpson, J., Truman, J., Tuthill, J. & Williams, D., 2017, (Submitted).

    Research output: Working paper

  40. A Systematic Nomenclature for the Insect Brain

    Ito, K., Shinomiya, K., Ito, M., Armstrong, J. D., Boyan, G., Hartenstein, V., Harzsch, S., Heisenberg, M., Homberg, U., Jenett, A., Keshishian, H., Restifo, L. L., Roessler, W., Simpson, J. H., Strausfeld, N. J., Strauss, R., Vosshall, L. B. & Insect Brain Name Working Grp, 19 Feb 2014, In : Neuron. 81, 4, p. 755-765 11 p.

    Research output: Contribution to journalArticle

  41. A Systems Biological Approach to Parkinson's Disease

    Heil, K., Sorokina, O. & Armstrong, D., 2014.

    Research output: Contribution to conferencePoster

  42. A Text-Mining Approach to Explain Unwanted Behaviours

    Chen, W., Aspinall, D., Gordon, A., Sutton, C. & Muttik, I., 18 Apr 2016, EuroSec '16 Proceedings of the 9th European Workshop on System Security . ACM, 6 p. 4

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

  43. A Topic Model for Melodic Sequences

    Spiliopoulou, A. & Storkey, A. J., 2012, Proceedings of the 29th International Conference on Machine Learning (ICML-12). Langford, J. & Pineau, J. (eds.). New York, NY, USA: ACM, p. 1143-1150 8 p.

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

  44. A Variational Approach for the Online Dual Estimation of Spatiotemporal Systems Governed by the IDE

    Mangion, A. Z., Sanguinetti, G. & Kadirkamanathan, V., 28 Aug 2011, Proceedings of the 18th IFAC World Congress, 2011 . International Federation of Automatic Control, p. 3204-3209 6 p.

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

  45. A binocular moving window technique to study the roles of the two eyes in reading

    Nuthmann, A., Beveridge, M. E. L. & Shillcock, R. C., 2014, In : Visual Cognition. 22, 3, p. 259-282 24 p.

    Research output: Contribution to journalArticle

  46. A biophysical model of short-term plasticity at the calyx of Held

    Hennig, M. H., Postlethwaite, M., Forsythe, I. D. & Graham, B. P., 1 Jun 2007, In : Neurocomputing. 70, 10-12, p. 1626-1629

    Research output: Contribution to journalArticle

  47. A biophysically realistic simulation of the vertebrate retina.

    Hennig, M. & Funke, K., 2001, In : Neurocomputing. 38-40, p. 659-665

    Research output: Contribution to journalArticle

  48. A branch and bound algorithm for the global optimization of Hessian Lipschitz continuous functions

    Fowkes, J., Gould, N. & Farmer, C., 2012, In : Journal of Global Optimization. 56, 4, p. 1791-1815

    Research output: Contribution to journalArticle

  49. A contralateral hemifoveal advantage in isolated word recognition

    Obregón, M. & Shillcock, R., 1 Aug 2007, p. 85. 1 p.

    Research output: Contribution to conferenceAbstract

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