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 CMOS Analog Front-End for Tunnelling Magnetoresistive Spintronic Sensing Systems

    Zuo, S., Fan, H., Nazarpour, K. & Heidari, H., 1 May 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS). Institute of Electrical and Electronics Engineers (IEEE), p. 1-5 5 p.

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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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. (Proceedings of Machine Learning Research; vol. 48).

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

  11. A Deep and Tractable Density Estimator

    Uria, B., Murray, I. & Larochelle, H., 21 Jun 2014, Proceedings of the 31st International Conference on Machine Learning. PMLR, p. 467-475 9 p. (Journal of Machine Leaarning Research: Workshops & Conference Proceedings; vol. 32, no. 1).

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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. A Novel Feature Extraction Scheme for Myoelectric Signals Classification Using Higher Order Statistics

    Nazarpour, K., Sharafat, A. R. & Firoozabadi, S. M., 18 Apr 2005, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.. Institute of Electrical and Electronics Engineers (IEEE), p. 293-296 4 p.

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

  30. A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs

    Nazarpour, K., Sanei, S. & Chambers, J. A., 13 Aug 2007, 2007 15th International Conference on Digital Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), p. 127-130 4 p.

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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. A Quaternion Weighted Fourier Linear Combiner for Modeling Physiological Tremor

    Adhikari, K., Tatinati, S., Ang, W. T., Veluvolu, K. C. & Nazarpour, K., 15 Feb 2016, In : IEEE Transactions on Biomedical Engineering. 63, 11, p. 2336 - 2346

    Research output: Contribution to journalArticle

  37. A Robust Minimum Variance Beamforming Approach for the Removal of the Eye-Blink Artifacts from EEGs

    Nazarpour, K., Wongsawat, Y., Sanei, S., Oraintara, S. & Chambers, J. A., 22 Oct 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE), p. 6211-6214 4 p.

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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. A Systematic Nomenclature for the Drosophila Ventral Nerve Cord

    Court, R. C., Namiki, S., Armstrong, J. D., Borner, J., Card, G., Costa, M., Dickinson, M., Duch, C., Korff, W., Mann, R., Merritt, D., Murphey, R., Seeds, A., Shirangi, T., Simpson, J. H., Truman, J., Tuthill, J., Williams, D. & Shepherd, D., 23 Sep 2020, In : Neuron. 107, 6, p. 1071-1079 12 p.

    Research output: Contribution to journalArticle

  45. 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

  46. A Systems Biological Approach to Parkinson's Disease

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

    Research output: Contribution to conferencePoster

  47. 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

  48. 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

  49. 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

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