Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Inference in continuous-time change-point models

    Stimberg, F., Opper, M., Sanguinetti, G. & Ruttor, A., 2011, Advances in Neural Information Processing Systems 24. Shawe-Taylor, J., Zemel, R. S., Bartlett, P. L., Pereira, F. & Weinberger, K. Q. (eds.). Curran Associates Inc, p. 2717-2725 9 p.

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

  2. Inference in hierarchical transcriptional network motifs

    Ocone, A. & Sanguinetti, G., 2010, Machine Learning in Systems Biology, Proceedings of the Fourth International Workshop of . p. 47-50 4 p.

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

  3. Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization

    Liu, J. K., Schreyer, H. M., Onken, A., Rozenblit, F., Khani, M. H., Krishnamoorthy, V., Panzeri, S. & Gollisch, T., 2017, In : Nature Communications. 8, 1, p. 1-14 14 p., 149.

    Research output: Contribution to journalArticle

  4. Influence of nerve cuff channel count and implantation site on the separability of afferent ENG

    Silveira, C., Brunton, E., Spendiff, S. & Nazarpour, K., 1 Aug 2018, In : Journal of Neural Engineering. 15, 4, p. 1-12 12 p., 046004 .

    Research output: Contribution to journalArticle

  5. Influence of skin layers on speckle correlations of light transmitted through disordered media

    van Rossum, M. & Nieuwenhuizen, T. M., 1993, In : Physics letters a. 177, 6, p. 452 - 458 7 p.

    Research output: Contribution to journalArticle

  6. Information Estimation Using Non-Parametric Copulas

    Safaai, H., Onken, A., Harvey, C. & Panzeri, S., 10 Oct 2018, (Accepted/In press) In : Physical Review E. 17 p.

    Research output: Contribution to journalArticle

  7. Information theoretic novelty detection

    Filippone, M. & Sanguinetti, G., 2010, In : Pattern Recognition. 43, 3, p. 805 - 814 10 p.

    Research output: Contribution to journalArticle

  8. Information theory and representation in associative word learning

    Burns, B., Sutton, C., Morrison, C. & Cohen, P., 2003, Proceedings of the Third International Workshop on Epigenetic Robotics. 7 p.

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

  9. Inhomogeneities in Heteroassociative Memories with Linear Learning Rules

    Willshaw, D. & Sterratt, D., Feb 2008, In : Neural Computation. 20, 2, p. 311-344 34 p.

    Research output: Contribution to journalArticle

  10. Inner hemifoveas preferred for words briefly presented stereoscopically

    Obregón, M., Dare, N. & Shillcock, R. C., 1 Jul 2008. 1 p.

    Research output: Contribution to conferenceAbstract

  11. Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring

    Georgatzis, K., Williams, C. K. I. & Hawthorne, C., 20 Aug 2016, Proceedings of the 1st Machine Learning for Healthcare Conference 2016. PMLR, 16 p. (Proceedings of Machine Learning Research; vol. 56).

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

  12. Instantiating Deformable Models with a Neural Net

    Williams, C. K. I., Revow, M. & Hinton, G. E., Oct 1997, In : Computer Vision and Image Understanding. 68, 1, p. 120-126 7 p.

    Research output: Contribution to journalArticle

  13. 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

  14. Integrated Pico-Tesla Resolution Magnetoresistive Sensors for Miniaturised Magnetomyography

    Zuo, S., Nazarpour, K., Böhnert, T., Paz, E., Freitas, P., Ferreira, R. & Heidari, H., 27 Aug 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 3415-3419 5 p.

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

  15. Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions

    Keck, T., Toyoizumi, T., Chen, L., Doiron, B., Feldman, D. E., Fox, K., Gerstner, W. G., Haydon, P. G., Hübener, M., Lee, H-K., Lisman, J. E., Rose, T., Sengpiel, F., Stellwagen, D., Stryker, M. P., Turrigiano, G. G. & Van Rossum, M., 16 Jan 2017, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 372, 1715, 23 p.

    Research output: Contribution to journalArticle

  16. 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

  17. Intensity Distributions of Waves Transmitted through a Multiple Scattering Medium

    Nieuwenhuizen, T. M. & van Rossum, M. C. W., 1 Apr 1995, In : Physical Review Letters. 74, p. 2674-2677 4 p.

    Research output: Contribution to journalArticle

  18. Inter-Individual behavioural traits shape performances in decision making

    Valton, V., Marchand, A., Dellu-Hagedom, F. & Series, P., 2010.

    Research output: Contribution to conferencePoster

  19. Interactions between multiple sources of short term plasticity during evoked and spontaneous activity at the rat calyx of Held

    Hennig, M., Graham, B. P., Postlethwaite, M. & Forsythe, I. D., Jul 2008, In : Journal of Physiology. 586, 13, p. 3129-3146 18 p.

    Research output: Contribution to journalArticle

  20. Interactive and Adaptive Progressive Transmission of Medical Images

    Lo, J-L., Sanei, S. & Nazarpour, K., 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. 5669-5672 4 p.

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

  21. Internally-generated activity, non-episodic memory, and emotional salience in sleep

    Bednar, J. A., 1 Dec 2000, In : Behavioral and Brain Sciences. 23, 6, p. 908-909

    Research output: Contribution to journalArticle

  22. Interpretable Machine Teaching via Feature Feedback

    Su, S., Chen, Y., Mac Aodha, O., Perona, P. & Yue, Y., 9 Dec 2017. 9 p.

    Research output: Contribution to conferencePaper

  23. Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study

    Dupan, S. S. G., Krasoulis, A. & Nazarpour, K., 27 Aug 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 3277-3280 4 p.

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

  24. Introduction: Trends and convergences in language acquisition research (vol 106, pg 1, 1998)

    Sorace, A., Heycock, C., Shillcock, R. & Jusczyk, P., Feb 1999, In : Lingua. 107, 1-2, p. 161-161 1 p.

    Research output: Contribution to journalArticle

  25. Invent-abling: Enabling Inventiveness Through Craft

    Guler, S. D. & Rule, M. E., 2013, IDC '13 Proceedings of the 12th International Conference on Interaction Design and Children. New York, NY, USA: ACM, p. 368-371 4 p. (IDC '13).

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

  26. Inverting Supervised Representations with Autoregressive Neural Density Models

    Nash, C., Kushman, N. & Williams, C. K. I., 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; vol. 89).

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

  27. Investigating the specificity of experimentally induced expectations in motion perception

    Seitz, A., Seriès, P. & Gekas, N., 2012, In : Journal of Vision. 12, 9, p. 1137 1 p.

    Research output: Contribution to journalMeeting abstract

  28. 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

  29. Is the Homunculus "Aware" of Sensory Adaptation?

    Seriés, P., Stocker, A. A. & Simoncelli, E. P., Dec 2009, In : Neural Computation. 21, 12, p. 3271-3304 34 p.

    Research output: Contribution to journalArticle

  30. Is there a burden attached to synaesthesia? Health screening of synaesthetes in the general population

    Carmichael, D., Smees, R., Shillcock, R. C. & Simner, J., 3 Oct 2018, In : British Journal of Psychology. p. 1-19 19 p.

    Research output: Contribution to journalArticle

  31. Isoelastic Agents and Wealth Updates in Machine Learning Markets

    Storkey, A., Millin, J. & Geras, K., 27 Jun 2012, Proceedings of the 29th International Conference on Machine Learning (ICML 2012). 8 p.

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

  32. It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data

    Ruggero Ronchi, M., Mac Aodha, O., Eng, R. & Perona, P., 2 Sep 2018, p. 1-13. 13 p.

    Research output: Contribution to conferencePaper

  33. Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1

    Bednar, J. A. & Miikkulainen, R., 2006, In : Neurocomputing. 69, p. 1272-1276 5 p.

    Research output: Contribution to journalArticle

  34. Joint Parsing and Semantic Role Labeling

    Sutton, C. & McCallum, A., 1 Jun 2005, Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005). Ann Arbor, Michigan: Association for Computational Linguistics, p. 225-228 4 p.

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

  35. Kick-starting GPLVM Optimization via a Connection to Metric MDS

    Bitzer, S. & Williams, C. K. I., 2010, Proceedings of the NIPS 2010 workshop on Challenges of Data Visualization. 6 p.

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

  36. Kinetic CRAC uncovers a role for Nab3 in determining gene expression profiles during stress

    Van Nues, R., Schweikert, G., de Leau, E., Selega, A., Langford, A., Franklin, R., Iosub, I., Wadsworth, P., Sanguinetti, G. & Granneman, S., 11 Apr 2017, In : Nature Communications. 8, 12.

    Research output: Contribution to journalArticle

  37. Known Unknowns: Novelty Detection in Condition Monitoring

    Quinn, J. A. & Williams, C. K. I., 2007, Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part I. Martí, J., Benedí, J. M., Mendonça, A. M. & Serrat, J. (eds.). Springer Berlin Heidelberg, p. 1-6 6 p. (Lecture Notes in Computer Science; vol. 4477).

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

  38. Language acquisition: knowledge representation and processing

    Heycock, C. B. (ed.), Shillcock, R. (ed.) & Sorace, A. (ed.), 1999, 1st ed. ed. Amsterdam: North-Holland Publishing Company. 263 p.

    Research output: Book/ReportBook

  39. Lapicque's 1907 paper: from frogs to integrate-and-fire

    Brunel, N. & van Rossum, M., 2007, In : Biological Cybernetics. 97, 5-6, p. 337-339 3 p.

    Research output: Contribution to journalArticle

  40. Large Developing Axonal Arbors Using a Distributed and Locally-Reprogrammable Address-Event Receiver

    Bamford, S., Murray, A. & Willshaw, D. J., 1 Jun 2008, IEEE International Joint Conference on Neural Networks (IJCNN). p. 1464-1471 8 p.

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

  41. Large Developing Receptive Fields Using a Distributed and Locally Reprogrammable Address-Event Receiver

    Bamford, S., Murray, A. & Willshaw, D. J., Feb 2010, In : IEEE Transactions on Neural Networks. 21, 2, p. 286-304 19 p.

    Research output: Contribution to journalArticle

  42. Large-Scale Study of Curiosity-Driven Learning

    Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T. & Efros, A. A., 2019. 15 p.

    Research output: Contribution to conferencePaper

  43. Large-scale learning of combinatorial transcriptional dynamics from gene expression

    Asif, H. M. S. & Sanguinetti, G., 1 May 2011, In : Bioinformatics. 27, 9, p. 1277-1283 7 p.

    Research output: Contribution to journalArticle

  44. Latent Bayesian melding for integrating individual and population models

    Zhong, M., Goddard, N. & Sutton, C., 2015, Advances in Neural Information Processing Systems 28 (NIPS 2015). p. 3617-3625 9 p.

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

  45. Latent Variable Models

    Bishop, C. M., 1 Jan 1999, Learning in Graphical Models. Jordan, M. I. (ed.). MIT Press, p. 371–403 33 p. (Adaptive Computation and Machine Learning).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  46. 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

  47. Le cerveau est-il une machine Bayésienne

    Series, P., 2015, (Accepted/In press) Les méthodes bayésiennes, sciences et épistémologie. Drouet, I. (ed.). 16 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  48. Leadership and Maturity: How Do They Affect Learning Analytics Adoption in Latin America?

    Hilliger, I., Pérez-Sanagustín, M., Pérez-Álvarez, R., Henríquez, V., Guerra, J., Zuñiga-Prieto, M. Á., Ortiz-Rojas, M., Tsai, Y-S., Gasevic, D., Muñoz-Merino, P. J., Broos, T. & De Laet, T., 11 Aug 2020, Adoption of Data Analytics in Higher Education Learning and Teaching. Ifenthaler, D. & Gibson, D. (eds.). Cham: Springer International Publishing AG, p. 305-326 22 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  49. Learning Continuous Semantic Representations of Symbolic Expressions

    Allamanis, M., Chanthirasegaran, P., Kohli, P. & Sutton, C., 11 Aug 2017, The 34th International Conference on Machine Learning (ICML 2017). Sydney, Australia: PMLR, Vol. 70. p. 80-88 9 p. (Proceedings of Machine Learning Research; vol. 70).

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

  50. Learning Direct Optimization for scene understanding

    Romaszko, L., Williams, C. K. I. & Winn, J., 30 Sep 2020, In : Pattern Recognition. 105, 13 p., 107369.

    Research output: Contribution to journalArticle

  51. Learning Innate Face Preferences

    Bednar, J. A. & Miikkulainen, R., 2003, In : Neural Computation. 15, 7, p. 1525-1557 33 p.

    Research output: Contribution to journalArticle

  52. Learning Natural Coding Conventions

    Allamanis, M., Barr, E. T., Bird, C. & Sutton, C., 11 Nov 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

  53. Learning Natural Image Structure with a Horizontal Product Model

    Köster, U., Lindgren, J. T., Gutmann, M. & Hyvärinen, A., 2009, Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings. Adali, T., Jutten, C., Romano, J. M. T. & Barros, A. K. (eds.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 507-514 8 p. (Lecture Notes in Computer Science; vol. 5441).

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

  54. Learning Stereo from Single Images

    Watson, J., Mac Aodha, O., Turmukhambetov, D., Brostow, G. & Firman, M., 2 Jul 2020, (Accepted/In press) Proceedings of the 16th European Conference on Computer Vision (ECCV 2020). 18 p.

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

  55. Learning Topographic Representations for Linearly Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A., 2011, Workshop on Deep Learning and Unsupervised Feature Learning, NIPS. 9 p.

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

  56. Learning a Confidence Measure for Optical Flow

    Mac Aodha, O., Humayun, A., Pollefeys, M. & Brostow, G. J., 31 May 2013, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 35, 5, p. 1107-1120 14 p.

    Research output: Contribution to journalArticle

  57. Learning a selectivity--invariance--selectivity feature extraction architecture for images

    Gutmann, M. U. & Hyvärinen, A., 2012, Pattern Recognition (ICPR), 2012 21st International Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 918-921 4 p.

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

  58. Learning analytics adoption – approaches and maturity

    Tsai, Y-S., Kovanović, V. & Gasevic, D., 3 Jan 2019, (Accepted/In press). 2 p.

    Research output: Contribution to conferencePoster

  59. Learning analytics in European higher education–trends and barriers

    Tsai, Y-S., Rates, D., Moreno-Marcos, P. M., Muñoz-Merino, P. J., Jivet, I., Scheffel, M., Drachsler, H., Kloos, C. D. & Gašević, D., 31 Oct 2020, In : Computers & Education. 155, 16 p., 103933.

    Research output: Contribution to journalArticle

  60. Learning and Designing Stochastic Processes from Logical Constraints

    Bortolussi, L. & Sanguinetti, G., 2013, Quantitative Evaluation of Systems: 10th International Conference, QEST 2013, Buenos Aires, Argentina, August 27-30, 2013. Proceedings. Joshi, K., Siegle, M., Stoelinga, M. & D'Argenio, P. R. (eds.). Springer-Verlag GmbH, p. 89-105 17 p. (Lecture Notes in Computer Science; vol. 8054).

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

  61. Learning and Verifying Unwanted Behaviours

    Chen, W., Aspinall, D., Gordon, A., Sutton, C. & Muttik, I., 2016, 4th Workshop on Hot Issues in Security Principles and Trust (HotSpot 2016). p. 17-32 15 p.

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

  62. Learning combinatorial transcriptional dynamics from gene expression data

    Opper, M. & Sanguinetti, G., 1 Jul 2010, In : Bioinformatics. 26, 13, p. 1623-1629 7 p.

    Research output: Contribution to journalArticle

  63. Learning cortical representations from multiple whisker inputs

    Wilson, S. P., Mitchinson, B., Pearson, M., Bednar, J. A. & Prescott, T. J., 1 Jan 2009, In : BMC Neuroscience. 10, Suppl 1, p. P334

    Research output: Contribution to journalArticle

  64. Learning effects of robot actions using temporal associations

    Cohen, P. R., Sutton, C. & Burns, B., 2002, Development and Learning, 2002. Proceedings. The 2nd International Conference on. p. 96-101 6 p.

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

  65. Learning encoding and decoding filters for data representation with a spiking neuron

    Gutmann, M., Hyvärinen, A. & Aihara, K., 2008, Proc. Int. Joint Conference on Neural Networks (IJCNN). p. 243-248 6 p.

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

  66. Learning features by contrasting natural images with noise

    Gutmann, M. & Hyvärinen, A., 2009, Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II. Alippi, C., Polycarpou, M., Panayiotou, C. & Ellinas, G. (eds.). Springer Berlin Heidelberg, p. 623-632 10 p. (Lecture Notes in Computer Science; vol. 5769).

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

  67. Learning generative texture models with extended Fields-of-Experts

    Heess, N., Williams, C. K. I. & Hinton, G. E., 2009, Proceedings of the British Machine Vision Conference. BMVA Press, p. 115.1-115.11

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

  68. Learning in Markov Random Fields with Contrastive Free Energies

    Welling, M. & Sutton, C., 2005, Tenth International Workshop on Artificial Intelligence and Statistics. 8 p.

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

  69. Learning multi-whisker spatial-temporal cortical receptive fields from robotic whisker input

    Bednar, J., Wilson, S. P., Mitchinson, B., Pearson, M. & Prescott, T. J., Oct 2009.

    Research output: Contribution to conferencePoster

  70. Learning reconstruction and prediction of natural stimuli by a population of spiking neurons

    Gutmann, M. & Hyvärinen, A., 2009, 17th European Symposium on Artificial Neural Networks (ESANN). Verleysen, M. (ed.). d-side publications, p. 409-414 6 p.

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

  71. Learning structural equation models for fMRI

    Simonotto, E., Whalley, H., Lawrie, S., Murray, L., Mcgonigle, D. & Storkey, A. J., 2006, Advances in Neural Information Processing Systems 19 (NIPS 2006). MIT Press, p. 1329-1336 8 p.

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

  72. Learning to find occlusion regions

    Humayun, A., Mac Aodha, O. & Brostow, G. J., 22 Aug 2011, CVPR 2011. Institute of Electrical and Electronics Engineers (IEEE), p. 2161-2168 8 p.

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

  73. Learning to segment images using dynamic feature binding

    Mozer, M. C., Zemel, R. S., Behrmann, M. & Williams, C. K. I., Sep 1992, In : Neural Computation. 4, 5, p. 650-665 16 p.

    Research output: Contribution to journalArticle

  74. 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

  75. Learning, generalisation, scalability of abstract myoelectric control

    Dyson, M., Dupan, S., Jones, H. & Nazarpour, K., 1 Jul 2020, In : IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28, 7, p. 1539 - 1547 9 p.

    Research output: Contribution to journalArticle

  76. Left eye and right eye in reading left-to-right and right-to-left orthographies

    Obregón, M., Kreiner, H. & Shillcock, R., 1 Aug 2013.

    Research output: Contribution to conferencePoster

  77. Lending direction to neural networks

    Zemel, R. S., Williams, C. K. I. & Mozer, M. C., 1995, In : Neural Networks. 8, 4, p. 503-512 10 p.

    Research output: Contribution to journalArticle

  78. Lexical Hypotheses in Continuous Speech

    Shillcock, R., 1990, Cognitive models of speech processing. Altmann, G. T. M. (ed.). MIT Press, p. 24 - 49 26 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  79. Ligand accumulation counteracts therapeutic inhibition of receptor systems

    Krippendorff, B-F., Oyarzun, D. & Huisinga, W., 2009, Proceedings Foundations of Systems Biology and Engineering (FOSBE 2009). p. 173-176 4 p.

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

  80. Likelihood-free inference by ratio estimation

    Thomas, O., Dutta, R., Corander, J., Kaski, S. & Gutmann, M. U., 12 Sep 2020, In : Bayesian analysis. 31 p., Advance publication.

    Research output: Contribution to journalArticle

  81. Likelihood-free inference via classification

    Gutmann, M., Dutta, R., Kaski, S. & Corander, J., 1 Mar 2018, In : Statistics and Computing. 28, 2, p. 411–425 15 p.

    Research output: Contribution to journalArticle

  82. Linear, Kurtosis and Bayesian Filtering of EMG Drive for Abstract Myoelectric Control

    Dyson, M., Barnes, J. & Nazarpour, K., 18 Aug 2017. 1 p.

    Research output: Contribution to conferenceAbstract

  83. Linking specification to differentiation: From proneural genes to the regulation of ciliogenesis

    Zur Lage, P. I., Simpson, T. I. & Jarman, A., 2011, In : Fly. 5, 4, p. 322-326 5 p.

    Research output: Contribution to journalArticle

  84. Listening Natively Across Perceptual Domains?

    Langus, A., Seyed-allaei, S., Uysal, E., Pirmoradian, S., Marino, C., Asaadi, S., Eren, Ö., Toro, J. M., Peña, M., Bion, R. A. H. & Nespor, M., 2016, In : Journal of Experimental Psychology: Learning, Memory, and Cognition.

    Research output: Contribution to journalArticle

  85. Local Training and Belief Propagation

    Sutton, C. & Minka, T., Aug 2006, Microsoft Research, 10 p. (Microsoft Research Technical Reports; no. MSR-TR-2006-121).

    Research output: Working paper

  86. Localisation microscopy using quantum dots

    Mandula, O., Williams, C. K. I. & Heintzmann, R., 2010.

    Research output: Contribution to conferencePoster

  87. 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

  88. Locating objects with diffuse light

    den Outer, P. N., Van Rossum, M., Nieuwenhuizen, T. M. & Lagendijk, A., 1994, OSA Proceedings on Advances in Optical Imaging and Photon Migration. SPIE, p. 297-302 4 p.

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

  89. Long-range downstream enhancers are essential for Pax6 expression

    Kleinjan, D. A., Seawright, A., Mella, S., Carr, C. B., Tyas, D. A., Simpson, I., Mason, J. O., Price, D. J. & van Heyningen, V., 2006, In : Developmental Biology. 299, 2, p. 563-81 19 p.

    Research output: Contribution to journalArticle

  90. Lost in the Cells

    Kudryashova, N. & Panfilov, A., 17 Apr 2020, The Art of Theoretical Biology. Matthäus, F., Matthäus, S., Harris, S. & Hillen, T. (eds.). Cham: Springer International Publishing, p. 78-79 2 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  91. Low-voltage activated Kv1.1 subunits are crucial for the processing of sound source location in the lateral superior olive in mice

    Karcz, A., Hennig, M., Robbins, C. A., Tempel, B. L., Rübsamen, R. & Kopp-Scheinpflug, C., Mar 2011, In : Journal of Physiology. 589, 5, p. 1143-1157

    Research output: Contribution to journalArticle

  92. M3D: a kernel-based test for spatially correlated changes in methylation profiles

    Mayo, T., Schweikert, G. & Sanguinetti, G., 6 Mar 2015, In : Bioinformatics. 31, 6, p. 809-816 8 p.

    Research output: Contribution to journalArticle

  93. MADE: Masked Autoencoder for Distribution Estimation

    Germain, M., Gregor, K., Murray, I. & Larochelle, H., 7 Jul 2015, Proceedings of The 32nd International Conference on Machine Learning. Bach, F. & Blei, D. (eds.). PMLR, p. 881-889 9 p. (Proceedings of Machine Learning Research; vol. 37).

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

  94. MCMC for doubly-intractable distributions

    Murray, I., Ghahramani, Z. & MacKay, D. J. C., 2006, Proceedings of the 22nd Annual Conference on Uncertainty in Artificial Intelligence (UAI-06). AUAI Press, p. 359-366 8 p.

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

  95. MEK Inhibitors Reverse cAMP-Mediated Anxiety in Zebrafish

    Lundegaard, P. R., Anastasaki, C., Grant, N. J., Sillito, R. R., Zich, J., Zeng, Z., Paranthaman, K., Larsen, A. P., Armstrong, J. D., Porteous, D. J. & Patton, E. E., 22 Oct 2015, In : Chemistry and Biology.

    Research output: Contribution to journalArticle

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