Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2014
  2. Localisation microscopy with quantum dots using non-negative matrix factorisation

    Mandula, O., Sestak, I. S., Heintzmann, R. & Williams, C. K. I., 6 Oct 2014, In : Optics Express. 22, 20, p. 24594-24605 12 p.

    Research output: Contribution to journalArticle

  3. Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies

    Belgrave, D. C. M., Granell, R., Simpson, A., Guiver, J., Bishop, C., Buchan, I. E., Henderson, J. & Custovic, A., 1 Oct 2014, In : PLoS ONE. 11, 10, 14 p., e1001748.

    Research output: Contribution to journalArticle

  4. Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game

    Colombo, M., Stankevicius, A. & Seriés, P., Oct 2014, In : Frontiers in Psychology. 5, 9 p., 1154.

    Research output: Contribution to journalArticle

  5. From intelligent machines to the human brain

    Series, P. & Sprevak, M., 30 Sep 2014, Philosophy and the Sciences for Everyone. Massimi, M. (ed.). Routledge, p. 86-102 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  6. Hierarchical Subquery Evaluation for Active Learning on a Graph

    Mac Aodha, O., Campbell, N. D. F., Kautz, J. & Brostow, G. J., 25 Sep 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 564-571 8 p.

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

  7. How arbitrary is language?

    Monaghan, P., Shillcock, R. C., Christiansen, M. H. & Kirby, S., 19 Sep 2014, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 369, 1651, 12 p., 20130299.

    Research output: Contribution to journalArticle

  8. 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

  9. Probabilistic Programming Process Algebra

    Georgoulas, A., Hillston, J., Milios, D. & Sanguinetti, G., 8 Sep 2014, Quantitative Evaluation of Systems: 11th International Conference, QEST 2014, Florence, Italy, September 8-10, 2014. Proceedings. Springer International Publishing, p. 249-264 16 p. (Lecture Notes in Computer Science; vol. 8657).

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

  10. Detection of Substructure in Receptive Fields of Retinal Ganglion Cells

    Onken, A., Liu, J. K., Delis, I., Panzeri, S. & Gollisch, T., 5 Sep 2014. 1 p.

    Research output: Contribution to conferenceAbstract

  11. Autoregressive Hidden Markov Models for the Early Detection of Neonatal Sepsis

    Stanculescu, I., Williams, C. K. I. & Freer, Y., 1 Sep 2014, In : IEEE Journal of Biomedical and Health Informatics. 18, 5, p. 1560-1570 11 p.

    Research output: Contribution to journalArticle

  12. Edge co-occurrences are sufficient to categorize natural versus animal images

    Perrinet, L. U. & Bednar, J. A., 22 Aug 2014, In : Journal of Vision. 14, 10, p. 1310-1310

    Research output: Contribution to journalArticle

  13. Renewal Strings for Cleaning Astronomical Databases

    Storkey, A. J., Hambly, N. C., Williams, C. K. I. & Mann, R. G., 7 Aug 2014, Proceedings of the Nineteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-03). Morgan Kaufmann, p. 559-566 8 p.

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

  14. Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit

    Žurauskiene, J., Kirk, P., Thorne, T. & Stumpf, M. P. H., 1 Aug 2014, In : Physica a-Statistical mechanics and its applications. 407, p. 33-42 10 p.

    Research output: Contribution to journalArticle

  15. A framework for mining life sciences data on the semantic web in an interactive, graph-based environment

    Lysenko, A., Grzebyta, J., Hindle, M. M., Rawlings, C. J. & Splendiani, A., 16 Jul 2014, Computational Intelligence Methods for Bioinformatics and Biostatistics - 10th International Meeting, CIBB 2013, Revised Selected Papers. Springer-Verlag, p. 225-237 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8452 LNBI).

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

  16. The complex chemical Langevin equation

    Schnoerr, D., Sanguinetti, G. & Grima, R., 14 Jul 2014, In : Journal of Chemical Physics. 141, 2, 024103.

    Research output: Contribution to journalArticle

  17. Measuring Symmetry, Asymmetry and Randomness in Neural Network Connectivity

    Esposito, U., Giugliano, M., van Rossum, M. & Vasilaki, E., 9 Jul 2014, In : PLoS ONE. 9, 7, 16 p., 100805.

    Research output: Contribution to journalArticle

  18. Derivative processes for modelling metabolic fluxes

    Žurauskiene, J., Kirk, P., Thorne, T., Pinney, J. & Stumpf, M., 1 Jul 2014, In : Bioinformatics. 30, 13, p. 1892-1898 7 p.

    Research output: Contribution to journalArticle

  19. Quantized mixture kernel least mean square

    Pokharel, R., Seth, S. & Principe, J. C., 1 Jul 2014, Neural Networks (IJCNN), 2014 International Joint Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 4168-4174 7 p.

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

  20. Understanding synaptic pathways - modelling Parkinson's Disease

    Heil, K. F., Sorokina, O., Hellgren-kotaleski, J. & Armstrong, JD., 18 Jun 2014.

    Research output: Contribution to conferencePoster

  21. Constructing Complex Systems Via Activity-Driven Unsupervised Hebbian Self-Organization

    Bednar, J. A., 5 Jun 2014, Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks. Kowaliw, T., Bredeche, N. & Doursat, R. (eds.). Springer Berlin Heidelberg, Vol. 557. p. 201-225 25 p. (Growing Adaptive Machines; vol. 557).

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

  22. The EGFR demonstrates linear signal transmission

    Oyarzun, D., Bramhall, J. L., Lopez-Caamal, F., Richards, F. M., Jodrell, D. I. & Krippendorff, B-F., 1 Jun 2014, In : Integrative Biology. 6, 8, p. 736-742 7 p.

    Research output: Contribution to journalArticle

  23. Parallel MCMC with Generalized Elliptical Slice Sampling

    Nishihara, R., Murray, I. & Adams, R. P., Jun 2014, In : Journal of Machine Learning Research. 15, June, p. 2087-2112 26 p.

    Research output: Contribution to journalArticle

  24. Optimism as a Prior Belief about the Probability of Future Reward

    Stankevicius, A., Huys, Q. J. M., Kalra, A., Seriès, P. & Loewenstein, Y. (ed.), 22 May 2014, In : PLoS Computational Biology. 10, 5, p. e1003605

    Research output: Contribution to journalArticle

  25. Single-trial classification of EEG in a visual object task using ICA and machine learning

    Stewart, A., Nuthmann, A. & Sanguinetti, G., 15 May 2014, In : Journal of Neuroscience Methods. 228, p. 1-14

    Research output: Contribution to journalArticle

  26. Probabilistic kernel least mean squares algorithms

    Park, I. M., Seth, S. & Vaerenbergh, S. V., 1 May 2014, Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 8272-8276 5 p.

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

  27. Spatial Quantification of Cytosolic Ca2+ Accumulation in Nonexcitable Cells: An Analytical Study

    López-Caamal, F., Oyarzún, D. A., Middleton, R. H. & García, M. R., 1 May 2014, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11, 3, p. 592-603 12 p.

    Research output: Contribution to journalArticle

  28. The Shape Boltzmann Machine: A Strong Model of Object Shape

    Eslami, S. M. A., Heess, N., Williams, C. K. I. & Winn, J., Apr 2014, In : International Journal of Computer Vision. 107, 2, p. 155-176 22 p.

    Research output: Contribution to journalArticle

  29. Topographica

    Bednar, J. A., 4 Mar 2014, Encyclopedia of Computational Neuroscience. Jaeger, D. & Jung, R. (eds.). New York, NY: Springer New York, p. 1-5 5 p.

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  30. Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees

    Mac Aodha, O. & Brostow, G. J., 3 Mar 2014, 2013 IEEE International Conference on Computer Vision. Institute of Electrical and Electronics Engineers (IEEE), p. 193-200 8 p.

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

  31. Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation

    Liu, S., Quinn, J. A., Gutmann, M. U., Suzuki, T. & Sugiyama, M., 1 Mar 2014, In : Neural Computation. 26, 6, p. 1169-1197 29 p.

    Research output: Contribution to journalArticle

  32. Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes

    Lyons, S. M. J., Sarkka, S. & Storkey, A. J., Mar 2014, In : IEEE Transactions on Signal Processing. 62, 6, p. 1514-1524 11 p.

    Research output: Contribution to journalArticle

  33. Benchmarking infrastructure for mutation text mining

    Klein, A., Riazanov, A., Hindle, M. M. & Baker, C. J. O., 25 Feb 2014, In : Journal of Biomedical Semantics. 5, 11, p. 1-13 13 p.

    Research output: Contribution to journalArticle

  34. 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

  35. Spatio-Chromatic Adaptation via Higher-Order Canonical Correlation Analysis of Natural Images

    Gutmann, M. U., Laparra, V., Hyvärinen, A. & Malo, J., 12 Feb 2014, In : PLoS ONE. 9, 2, 21 p., e86481.

    Research output: Contribution to journalArticle

  36. Detecting and Quantifying Topography in Neural Maps

    Yarrow, S., Seitz, A. R., Seriès, P. & Razak, K., 5 Feb 2014, In : PLoS Neglected Tropical Diseases. 9, 2, 14 p., e87178.

    Research output: Contribution to journalArticle

  37. Synaesthesia in Chinese characters: The role of radical function and position

    Hung, W-Y., Simner, J., Shillcock, R. & Eagleman, D. M., 1 Feb 2014, In : Consciousness and Cognition. 24, 1, p. 38-48 11 p.

    Research output: Contribution to journalArticle

  38. Test-retest reliability of structural brain networks from diffusion MRI

    Buchanan, C. R., Pernet, C. R., Gorgolewski, K. J., Storkey, A. J. & Bastin, M. E., 1 Feb 2014, In : NeuroImage. 86, p. 231-243

    Research output: Contribution to journalArticle

  39. Analysis of local and global topographic order in mouse retinocollicular maps

    Willshaw, D. J., Sterratt, D. C. & Teriakidis, A., 29 Jan 2014, In : Journal of Neuroscience. 34, 5, p. 1791-805 15 p.

    Research output: Contribution to journalArticle

  40. NMDA receptor-dependent regulation of miRNA expression and association with Argonaute during LTP in vivo

    Pai, B., Siripornmongcolchai, T., Berentsen, B., Pakzad, A., Vieuille, C., Pallesen, S., Pajak, M., Simpson, T. I., Armstrong, J. D., Wibrand, K. & Bramham, C. R., 13 Jan 2014, In : Frontiers in Cellular Neuroscience. 7, p. 285 1 p.

    Research output: Contribution to journalArticle

  41. Nitric oxide activity-dependent regulator compensates synaptic depression and enhances metabolic efficiency in the auditory brainstem

    Michel, C. B., Hennig, M. H. & Graham, B. P., 1 Jan 2014, In : BMC Neuroscience. 15, Suppl 1, p. P154 2 p.

    Research output: Contribution to journalArticle

  42. Validity conditions for moment closure approximations in stochastic chemical kinetics

    Schnoerr, D., Sanguinetti, G. & Grima, R., 1 Jan 2014, In : Journal of Chemical Physics. 141, 8, 084103.

    Research output: Contribution to journalArticle

  43. 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

  44. 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

  45. A Systems Biological Approach to Parkinson's Disease

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

    Research output: Contribution to conferencePoster

  46. 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

  47. A statistical approach for computing reachability of non-linear and stochastic dynamical systems

    Bortolussi, L. & Sanguinetti, G., 2014, Quantitative Evaluation of Systems: 11th International Conference, QEST 2014, Florence, Italy, September 8-10, 2014. Proceedings. Springer International Publishing, p. 41-56 16 p.

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

  48. Analysis of the expression patterns, subcellular localisations and interaction partners of Drosophila proteins using a pigP protein trap library

    Lowe, N., Rees, J. S., Roote, J., Ryder, E., Armean, I. M., Johnson, G., Drummond, E., Spriggs, H., Drummond, J., Magbanua, J. P., Naylor, H., Sanson, B., Bastock, R., Huelsmann, S., Trovisco, V., Landgraf, M., Knowles-Barley, S., Armstrong, J. D., White-Cooper, H., Hansen, C. & 5 others, Phillips, R. G., The UK Drosophila Protein Trap Screening Consortium, Lilley, K. S., Russell, S. & St Johnston, D., 2014, In : Development. 141, 20, p. 3994-4005 12 p.

    Research output: Contribution to journalArticle

  49. Changing how Earth System Modelling is done to provide more useful information for decision making, science and society

    Smith, M. J., Palmer, P., Purves, D. W., Vanderwel, M. C., Lyutsarev, V., Calderhead, B., Joppa, L. N., Bishop, C. & Emmott, S., 2014, In : Bulletin of the American Meteorological Society. 95, 9

    Research output: Contribution to journalArticle

  50. 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

  51. Contrast dependency and prior expectations in human speed perception

    Sotiropoulos, G., Seitz, A. R. & Series, P., 2014, In : Vision Research. 97, 0, p. 16-23 8 p.

    Research output: Contribution to journalArticle

  52. Data-driven statistical learning of temporal logic properties

    Bartocci, E., Bortolussi, L. & Sanguinetti, G., 2014, Formal Modeling and Analysis of Timed Systems: 12th International Conference, FORMATS 2014, Florence, Italy, September 8-10, 2014. Proceedings. Springer International Publishing, p. 23-37 15 p. (Lecture Notes in Computer Science; vol. 8711).

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

  53. Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations

    Hiroaki, S., Gutmann, M. U., Shouno, H. & Hyärinen, A., 2014, Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: WCP volume 33. Journal of Machine Learning Research - Proceedings Track, p. 868-876 9 p.

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

  54. Exploring the impact of model calibration on estimating energy savings through better space heating control

    Marini, D., Webb, L., Diamantis, G. & Buswell, R. A., 2014, Proceedings of Building Simulation and Optimization: Second Conference of IBPSA-England conference in association with CIBSE. International Building Performance Simulation Association, p. 1-8 8 p.

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

  55. Following the Ontogeny of Retinal Waves: Pan-Retinal Recordings of Population Dynamics in the Neonatal Mouse

    Maccione, A., Hennig, M. H., Gandolfo, M., Muthmann, O., van Coppenhagen, J., Eglen, S. J., Berdondini, L. & Sernagor, E., 2014, In : Journal of Physiology. 592, 8, p. 1545-1563

    Research output: Contribution to journalArticle

  56. Hebbian Learning of the Statistical and Geometrical Structure of Visual Input

    Bednar, J. A., 2014, Neuromathematics of Vision: Lecture Notes in Morphogenesis. Springer Berlin Heidelberg, p. 335-366 Chapter 8. (Neuromathematics of Vision).

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

  57. Higher rates of anxiety found in self-reported grapheme-colour synaesthetes

    Carmichael, D. A., Shillcock, R. & Simner, J., 2014.

    Research output: Contribution to conferencePoster

  58. Instrumenting the Interaction: Affective and Psychophysiological Features of Live Collaborative Musical Improvisation

    Morgan, E., Gunes, H. & Bryan-Kinns, N., 2014, Proceedings of the International Conference on New Interfaces for Musical Expression NIME 14. p. 23-28 6 p.

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

  59. Integration of rule-based models and compartmental models of neurons

    Sterratt, D. C., Sorokina, O. & Armstrong, J. D., 2014, Hybrid Systems and Biology: Second International Workshop, HSB 2013, Taormina, Italy, September 2, 2013 and Third International Workshop, HSB 2014, Vienna, Austria, July 23-24, 2014, Revised Selected Papers. Springer International Publishing, p. 143-158 16 p. (Lecture Notes in Computer Science; vol. 7699).

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

  60. Ionotropic Receptors Dynamics, Conductance Models

    Hennig, M., 2014, Encyclopedia of Computational Neuroscience. Jaeger, D. & Jung, R. (eds.). Springer New York, p. 1-5 5 p.

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  61. Learning Natural Coding Conventions

    Allamanis, M., Barr, E. T., Bird, C. & Sutton, C., 2014, Proceedings of the 22Nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. New York, NY, USA: ACM, p. 281-293 13 p.

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

  62. Mining Idioms from Source Code

    Allamanis, M. & Sutton, C., 2014, Proceedings of the 22Nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. New York, NY, USA: ACM, p. 472-483 12 p.

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

  63. Model Reduction of Genetic-Metabolic Networks via Time Scale Separation

    Kuntz, J., Oyarzún, D. & Stan, G-B., 2014, A Systems Theoretic Approach to Systems and Synthetic Biology I: Models and System Characterizations. Kulkarni, V. V., Stan, G-B. & Raman, K. (eds.). Dordrecht: Springer Netherlands, p. 181-210 30 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  64. Multi-period Trading Prediction Markets with Connections to Machine Learning

    Hu, J. & Storkey, A., 2014, Proceedings of ICML 2014. Journal of Machine Learning Research: Workshop and Conference Proceedings, Vol. 32. p. 1773-1781 9 p.

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

  65. RKappa: Statistical sampling suite for Kappa models

    Sorokin, A., Sorokina, O. & Armstrong, D., 2014, Hybrid Systems Biology: Second International Workshop, HSB 2013, Taormina, Italy, September 2, 2013 and Third International Workshop, HSB 2014, Vienna, Austria, July 23-24, 2014, Revised Selected Papers. Springer International Publishing, 15 p. (Lecture Notes in Computer Science; vol. 7699).

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

  66. Relationship between natural image statistics and lateral connectivity in the primary visual cortex

    Rudiger, P., Stevens, J-L., Talluri, B. & Bednar, J. A., 2014, p. 148-149. 1 p.

    Research output: Contribution to conferencePoster

  67. Retinal Waves, Models of

    Hennig, M., 2014, Encyclopedia of Computational Neuroscience. Jaeger, D. & Jung, R. (eds.). Springer New York, p. 1-5 5 p.

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  68. Reward-Based Learning, Model-Based and Model-Free

    Huys, Q. J. M., Cruickshank, A. & Seriès, P., 2014, Encyclopedia of Computational Neuroscience. Jaeger, D. & Jung, R. (eds.). Springer New York, p. 1-10 10 p.

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  69. Saliency detection without biasing stimulus estimation

    Keemink, S. & Van Rossum, M., 2014.

    Research output: Contribution to conferencePoster

  70. Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models

    Zhang, Y. & Sutton, C., 2014, Advances in Neural Information Processing Systems 27. Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. D. & Weinberger, K. Q. (eds.). Curran Associates Inc, p. 10-18 9 p.

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

  71. Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation

    Zhong, M., Goddard, N. & Sutton, C., 2014, Advances in Neural Information Processing Systems 27 (NIPS 2014). Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. D. & Weinberger, K. Q. (eds.). Palais des Congrès de Montréal, Montréal, CANADA : Curran Associates Inc, p. 3590-3598 9 p.

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

  72. Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model

    Shalem, B., Bachrach, Y., Guiver, J. & Bishop, C., 2014, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III. Calders, T., Esposito, F., Hüllermeier, E. & Meo, R. (eds.). Springer Berlin Heidelberg, p. 82-97 16 p. (Lecture Notes in Computer Science; vol. 8726).

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

  73. Synaptic and nonsynaptic plasticity approximating probabilistic inference

    Tully, P. J., Hennig, M. H. & Lansner, A., 2014, In : Frontiers in synaptic neuroscience. 6, 8.

    Research output: Contribution to journalArticle

  74. Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise

    O'Donnell, C. & van Rossum, M. C. W., 2014, In : Frontiers in Computational Neuroscience. 8, 105.

    Research output: Contribution to journalArticle

  75. Temporal Logic Based Monitoring of Assisted Ventilation in Intensive Care Patients

    Bufo, S., Bartocci, E., Sanguinetti, G., Borelli, M., Lucangelo, U. & Bortolussi, L., 2014, Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications: 6th International Symposium, ISoLA 2014, Imperial, Corfu, Greece, October 8-11, 2014, Proceedings, Part II. Margaria, T. & Steffen, B. (eds.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 391-403 13 p. (Lecture Notes in Computer Science; vol. 8803).

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

  76. The State of the Art: Object Retrieval in Paintings using Discriminative Regions

    Crowley, E. & Zisserman, A., 2014, British Machine Vision Conference, 2014. 12 p.

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

  77. Virtual fly brain - Using OWL to support the mapping and genetic dissection of the drosophila brain

    Osumi-Sutherland, D., Costa, M., Court, R. & O'Kane, C. J., 2014, In : CEUR Workshop Proceedings. 1265, p. 85-96 12 p.

    Research output: Contribution to journalArticle

  78. Visual Aftereffects, Models of

    Bednar, J., 2014, Encyclopedia of Computational Neuroscience. Jaeger, D. & Jung, R. (eds.). Springer New York, p. 1-8

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  79. Visual Boundary Prediction: A Deep Neural Prediction Network and Quality Dissection

    Kivinen, J., Williams, C. K. I. & Heess, N., 2014, Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics. Reykjavik, Iceland: Journal of Machine Learning Research: Workshop and Conference Proceedings, Vol. 33. p. 512-521 10 p.

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

  80. Word Storms: Multiples of Word Clouds for Visual Comparison of Documents

    Castella, Q. & Sutton, C. A., 2014, Proceedings of the 23rd international conference on World wide web. International World Wide Web Conferences Steering Committee, p. 665-676 12 p.

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

  81. 2013
  82. Analysis of the Bacterial Response to Ru(CO) 3 Cl(Glycinate) (CORM-3) and the Inactivated Compound Identifies the Role Played by the Ruthenium Compound and Reveals Sulfur-Containing Species as a Major Target of CORM-3 Action .

    Mclean, S., Begg, R., Jesse, H. E., Mann, B. E., Sanguinetti, G. & Poole, R. K., 10 Dec 2013, In : Antioxidants and Redox Signaling. 19, 17, p. 1999-2012 14 p.

    Research output: Contribution to journalArticle

  83. Elucidating Poor Decision-Making in a Rat Gambling Task

    Rivalan, M., Valton, V., Series, P., Marchand, A. R., Dellu-hagedorn, F. & Ravel, N. (ed.), 5 Dec 2013, In : PLoS ONE. 8, 12, p. e82052

    Research output: Contribution to journalArticle

  84. Semisupervised Multitask Learning With Gaussian Processes

    Skolidis, G. & Sanguinetti, G., 1 Dec 2013, In : IEEE Transactions on Neural Networks and Learning Systems. 24, 12, p. 2101-2112 12 p.

    Research output: Contribution to journalArticle

  85. Dictionary of Computer Vision and Image Processing, 2nd Edition

    Fisher, B., Breckon, T. P., Dawson-Howe, K., Fitzgibbon, A., Roberston, C., Trucco, E. & Williams, C. K. I., Dec 2013, 2 ed. Wiley. 384 p.

    Research output: Book/ReportBook

  86. Near-optimal multisensory integration revisited

    Onken, A., Dengelis, G. C., Angelaki, D. E. & Pouget, A., 11 Nov 2013. 1 p.

    Research output: Contribution to conferenceAbstract

  87. A three-layer model of natural image statistics

    Gutmann, M. U. & Hyvärinen, A., Nov 2013, In : Journal of Physiology-Paris. 107, 5, p. 369 - 398 30 p.

    Research output: Contribution to journalArticle

  88. Learning what to expect (in visual perception)

    Seriès, P. & Seitz, A. R., 24 Oct 2013, In : Frontiers in Human Neuroscience. 7

    Research output: Contribution to journalArticle

  89. Functional analysis of the rodent CK1tau mutation in the circadian clock of a marine unicellular alga

    van Ooijen, G., Martin, S. F., Barrios-Llerena, M. E., Hindle, M., Le Bihan, T., O'Neill, J. S. & Millar, A. J., 15 Oct 2013, In : BMC Cell Biology. 14, 1, 46.

    Research output: Contribution to journalArticle

  90. A simulator for spatially extended kappa models

    Sorokina, O., Sorokin, A., Armstrong, D. & Danos, V., 3 Oct 2013, In : Bioinformatics. 29, 23, p. 3105-3106 2 p.

    Research output: Contribution to journalArticle

  91. Mechanisms for Stable, Robust, and Adaptive Development of Orientation Maps in the Primary Visual Cortex

    Stevens, J-L., Law, J., Antolik, J. & Bednar, J. A., 2 Oct 2013, In : Journal of Neuroscience. 33, 40, p. 15747-15766 20 p.

    Research output: Contribution to journalArticle

  92. Classifying chemical mode of action using gene networks and machine learning: A case study with the herbicide linuron

    Ornostay, A., Cowie, A. M., Hindle, M., Baker, C. J. O. & Martyniuk, C. J., 12 Sep 2013, In : Comparative Biochemistry and Physiology - Part D: Genomics and Proteomics. 8, 4, p. 263-274 12 p.

    Research output: Contribution to journalArticle

  93. Measuring Affect for the Study and Enhancement of Co-present Creative Collaboration

    Morgan, E., Gunes, H. & Bryan-Kinns, N., 1 Sep 2013, Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 659-664 6 p.

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

  94. Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation

    Liu, S., Quinn, J. A., Gutmann, M. U. & Sugiyama, M., Sep 2013, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II. Springer Berlin Heidelberg, p. 596-611 16 p. (Lecture Notes in Computer Science; vol. 8189).

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

  95. Cumulative signal transmission in nonlinear reaction-diffusion networks

    Oyarzún, D. A., López-Caamal, F., Garcia, M. R., Middleton, R. H. & Weiße, A. Y., 5 Aug 2013, In : PLoS ONE. 8, 5

    Research output: Contribution to journalArticle

  96. Different binocular foveal strategies in reading: younger and older readers

    Paul, S. A., Obregón, M. & Shillcock, R., 1 Aug 2013.

    Research output: Contribution to conferencePoster

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