Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. The shape variational autoencoder: A deep generative model of part-segmented 3D objects

    Nash, C. & Williams, C. K. I., Aug 2017, Symposium on Geometry Processing (SGP 2017). 11 p.

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

  2. The proteomes of neurotransmitter receptor complexes form modular networks with distributed functionality underlying plasticity and behaviour

    Pocklington, A. J., Cumiskey, M., Armstrong, J. D. & Grant, S. G. N., 17 Jan 2006, In : Molecular Systems Biology. 2, 14 p., 2006.0023.

    Research output: Contribution to journalArticle

  3. The privacy paradox and its implications for learning analytics

    Tsai, Y-S., Whitelock-Wainwright, A. & Gasevic, D., 2 Dec 2019, (Accepted/In press) The 10th International Learning Analytics & Knowledge Conference. ACM, 10 p.

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

  4. The power of synthetic biology for bioproduction, remediation and pollution control

    de Lorenzo, V., Prather, K. LJ., Chen, GQ., O'Day, E., von Kameke, C., Oyarzún, D. A., Hosta‐Rigau, L., Alsafar, H., Cao, C., Ji, W., Okano, H., Roberts, R. J., Ronaghi, M., Yeung, K., Zhang, F. & Lee, S. Y., 1 Apr 2018, In : EMBO Reports. 19, 4, 6 p., e45658.

    Research output: Contribution to journalArticle

  5. The optimal synapse for sparse, binary signals in the rod pathway: Neural Computation

    Clark, P. T. & van Rossum, M. C. W., Jan 2006, In : Neural Computation. 18, 1, p. 26-44 19 p.

    Research output: Contribution to journalArticle

  6. The motility of glioblastoma tumour cells is modulated by intracellular cofilin expression in a concentration-dependent manner

    Yap, C. T., Simpson, T. I., Pratt, T., Price, D. & Maciver, S. K., 2005, In : Cell motility and the cytoskeleton. 60, 3, p. 153-165 13 p.

    Research output: Contribution to journalArticle

  7. The influence of population size, noise strength and behavioral task on best-encoded stimulus for neurons with unimodal or monotonic tuning curves

    Yarrow, S. & Seriés, P., 17 Feb 2015, In : Frontiers in Computational Neuroscience. 9

    Research output: Contribution to journalArticle

  8. The importance of combinatorial gene expression in early Mammalian thalamic patterning and thalamocortical axonal guidance

    Price, D. J., Clegg, J., Oliver Duocastella, X., Willshaw, D. & Pratt, T., 2012, In : Frontiers in Neuroscience. 6, 15 p., 37.

    Research output: Contribution to journalArticle

  9. The impact of using related individuals for haplotype reconstruction in population studies

    Schouten, M. T., Williams, C. K. I. & Haley, C., 2005, In : Genetics. 171, 3, p. 1321-30 10 p.

    Research output: Contribution to journalArticle

  10. The impact of stochastic ion channel activity depends on neuronal morphology

    O'Donnell, C., van Rossum, M. C. W., Cannon, R. C. & Nolan, M., 2008.

    Research output: Contribution to conferencePoster

  11. The impact of host metapopulation structure on the population genetics of colonizing bacteria

    Numminen, E., Gutmann, M., Shubin, M., Marttinen, P., Méric, G., Schaik, W. V., Coque, T. M., Baquero, F., Willems, R. J. L., Sheppard, S. K., Feil, E. J., Hanage, W. P. & Corander, J., 7 May 2016, In : Journal of Theoretical Biology. 396, p. 53-62 10 p.

    Research output: Contribution to journalArticle

  12. The iNaturalist Species Classification and Detection Dataset

    Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P. & Belongie, S., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 8769-8778 10 p.

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

  13. The geometry of dual isomonodromic deformations

    Sanguinetti, G. & Woodhouse, NMJ., 2004, In : Journal of geometry and physics. 52, 1, p. 44-56 13 p.

    Research output: Contribution to journalArticle

  14. The functional anatomy of inspection time: an event-related fMRI study

    Deary, I. J., Simonotto, E., Meyer, M., Marshall, A., Marshall, I., Goddard, N. & Wardlaw, J. M., Aug 2004, In : NeuroImage. 22, 4, p. 1466-1479 14 p.

    Research output: Contribution to journalArticle

  15. The functional anatomy of inspection time: a pilot fMRI study

    Deary, I. J., Simonotto, E., Marshall, A., Marshall, I., Goddard, N. & Wardlaw, J. M., 2001, In : Intelligence. 29, 6, p. 497-510 14 p.

    Research output: Contribution to journalArticle

  16. The evolution of the phage shock protein response system: Interplay between protein function, genomic organization, and system function

    Huvet, M., Toni, T., Sheng, X., Thorne, T., Jovanovic, G., Engl, C., Buck, M., Pinney, J. W. & Stumpf, M. P. H., 1 Mar 2011, In : Molecular Biology and Evolution. 28, 3, p. 1141-1155 15 p.

    Research output: Contribution to journalArticle

  17. The effects of incomplete protein interaction data on structural and evolutionary inferences

    de Silva, E., Thorne, T., Ingram, P., Agrafioti, I., Swire, J., Wiuf, C. & Stumpf, M. P. H., 3 Nov 2006, In : BMC Biology. 4, 39.

    Research output: Contribution to journalArticle

  18. The effect of the input density distribution on kernel-based classifiers

    Williams, C. & Seeger, M., 2000, ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning. Morgan Kaufmann Publishers Inc., p. 1159-1166 8 p.

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

  19. The effect of neural adaptation on population coding accuracy

    Cortes, J., Marinazzo, D., Seriés, P., Oram, M., Sejnowski, T. & van Rossum, M., 2012, In : Journal of Computational Neuroscience. 32, 3, p. 387-402 16 p.

    Research output: Contribution to journalArticle

  20. The concrete universal and cognitive science

    Shillcock, R., Mar 2013, In : Axiomathes. 24, 1, p. 63-80 18 p.

    Research output: Contribution to journalArticle

  21. 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

  22. The basins of attraction of a new Hopfield learning rule

    Storkey, A. J. & Valabregue, R., 1999, In : Neural Networks. 12, 6, p. 869 - 876 17 p.

    Research output: Contribution to journalArticle

  23. The amnesiac Gene Product Is Expressed in Two Neurons in the Drosophila Brain that Are Critical for Memory

    Waddell, S., Armstrong, J. D., Kitamoto, T., Kaiser, K. & Quinn, W. G., 2000, In : Cell. 103, 5, p. 805-813 9 p.

    Research output: Contribution to journalArticle

  24. The Virtual Fly Brain browser and query interface

    Milyaev, N., Osumi-Sutherland, D., Reeve, S., Burton, N., Baldock, R. & Armstrong, J. D., Feb 2012, In : Bioinformatics. 28, 3, p. 411-415 5 p.

    Research output: Contribution to journalArticle

  25. The Transient Precision of Integrate and Fire Neurons: Effect of Background Activity and Noise

    Van Rossum, M. C. W., 2001, In : Journal of Computational Neuroscience. 10, 3, p. 303-311 9 p.

    Research output: Contribution to journalArticle

  26. The Topographica cortical map simulator

    Bednar, J. A., Choe, Y., De Paula, J., Miikkulainen, R. & Provost, J., 2005.

    Research output: Contribution to conferencePoster

  27. The Supervised Hierarchical Dirichlet Process

    Dai, A. M. & Storkey, A. J., Feb 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 2, p. 243-255 13 p.

    Research output: Contribution to journalArticle

  28. The Student Expectations of Learning Analytics Questionnaire (SELAQ)

    Whitelock-Wainwright, A., Gasevic, D., Tejeiro, R., Tsai, Y-S. & Bennett, K., Oct 2019, In : Journal of Computer Assisted Learning. 35, 5, p. 633-666 34 p.

    Research output: Contribution to journalArticle

  29. 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

  30. The Sound of Silence: ionic mechanisms encoding sound termination

    Kopp-Scheinpflug, C., Tozer, A. J. B., Robinson, S. W., Tempel, B. L., Hennig, M. & Forsythe, I. D., Sep 2011, In : Neuron. 71, 5, p. 911-925 15 p.

    Research output: Contribution to journalArticle

  31. 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

  32. 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

  33. The SHEILA framework: informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Jivet, I., Scheffel, M., Tammets, K., Kollom, K. & Gasevic, D., 11 Dec 2018, In : Journal of Learning Analytics. 5, 3, p. 5-20 16 p.

    Research output: Contribution to journalArticle

  34. The Role of Internally Generated Neural Activity in Newborn and Infant Face Preferences

    Bednar, J., 2003, The Development of Face Processing in Infancy and Early Childhood: Current Perspectives. Pascalis, O. & Slater, A. (eds.). Nova Science Publishers, p. 133-142

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

  35. The Role of Air Motion for Providing Thermal Comfort in Residential / Mixed Mode Buildings: a Multi-partner Global Innovation Initiative (GII) Project

    Loveday, D. L., Webb, L., Verma, P., Cook, M. J., Rawal, R., Vadodaria, K., Cropper, P., Brager, G., Zhang, H., Foldvary, V., Arens, E., Babich, F., Cobb, R., Ariffin, R., Kaam, S. & Toledo, L., 4 May 2016, Proceedings of 9th Windsor Conference: Making Comfort Relevant. Network for Comfort and Energy Use in Buildings, p. 947-962 16 p.

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

  36. The Processing of low frequency pseudowords by Broca's area

    Papoutsi, M., de Zwart, J. A., Jansma, J. M., Pickering, M., Bednar, J. A. & Horowitz, B., 2007, Organisation for Human Brain Mapping, 13th Annual Meeting, Chicago, USA.

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

  37. The Processing of low frequency pseudowords by Broca's area

    Papoutsi, M., de Zwart, J. A., Jansma, J. M., Pickering, M., Bednar, J. A. & Horowitz, B., 2007.

    Research output: Contribution to conferencePoster

  38. The Pascal Visual Object Classes Challenge: A Retrospective

    Everingham, M., Eslami, S. M. A., Van Gool, L., Williams, C. K. I., Winn, J. & Zisserman, A., Jan 2015, In : International Journal of Computer Vision. 111, 1, p. 98-136 39 p.

    Research output: Contribution to journalArticle

  39. The PASCAL visual object classes challenge 2006 (VOC2006) results

    Everingham, M., Zisserman, A., Williams, C. K. I. & Van Gool, L., 2006, 57 p.

    Research output: Working paper

  40. The PASCAL Visual Object Classes (VOC) Challenge

    Everingham, M., van Gool, L., Williams, C. K. I., Winn, J. & Zisserman, A., Jun 2010, In : International Journal of Computer Vision. 88, 2, p. 303-338 36 p.

    Research output: Contribution to journalArticle

  41. The Organization and integrative function of the post-synaptic proteome

    Grant, S., Husi, H., Choudhary, J., Cumiskey, M., Blackstock, W. & Armstrong, D., 2004, Excitatory-Inhibitory Balance: Synapses, Circuits, Systems. KLUWER ACADEMIC/PLENUM PUBL, p. 13-44 32 p.

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

  42. The Neural Autoregressive Distribution Estimator

    Larochelle, H. & Murray, I., 2011, Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS). Vol. 15. p. 29-37 9 p. ( JMLR: Workshop and Conference Proceedings).

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

  43. The Mathematical Principles of AFNI and One of its Applications to the Research of the Functional Neuroimages

    Zhong, M., Tang, H. & Feng, J., 2002, In : Journal of Basic Science and Engineering. 3, 4 p.

    Research output: Contribution to journalArticle

  44. The LuminUs: Providing Musicians with Visual Feedback on the Gaze and Body Motion of Their Co-performers

    Morgan, E., Gunes, H. & Bryan-Kinns, N., 2015, Human-Computer Interaction – INTERACT 2015: 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part II. Abascal, J., Barbosa, S., Fetter, M., Gross, T., Palanque, P. & Winckler, M. (eds.). Cham: Springer International Publishing, p. 47-54 8 p. (Lecture Notes in Computer Science; vol. 9297).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  45. The Influence of Different Retinal Subcircuits on the Nonlinearity of Ganglion Cell Behavior

    Hennig, M., Funke, K. & Worgotter, F., Oct 2002, In : The Journal of Neuroscience. 22, 19, p. 8726-8738 12 p.

    Research output: Contribution to journalArticle

  46. The Impact of Synaptic Dynamics on the Structure of Plastic Networks

    Costa, R. P., Van Rossum, M. & Sjöström, P. J., Nov 2011.

    Research output: Contribution to conferencePoster

  47. The Grouped Author-Topic Model for Unsupervised Entity Resolution

    Dai, A. M. & 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. 241-249 9 p. (Lecture Notes in Computer Science; vol. 6791).

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

  48. The Gene Regulatory Cascade Linking Proneural Specification with Differentiation in Drosophila Sensory Neurons

    Cachero, S., Simpson, T. I., zur Lage, P., Ma, L. N., Newton, F. G., Holohan, E. E., Armstrong, D. & Jarman, A. P., Jan 2011, In : PLoS Biology. 9, 1, e1000568.

    Research output: Contribution to journalArticle

  49. The Gaussian process density sampler

    Adams, R. P., Murray, I. & MacKay, D. J. C., 2009, Advances in Neural Information Processing Systems 21: 22nd Annual Conference on Neural Information Processing Systems 2008. Koller, D. (ed.). Curran Associates Inc, p. 9-16 8 p.

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

  50. The GENESIS Simulator-based Neuronal Database

    Beeman, D., Bower, J. M., Schutter, E. D., Efthimiadis, E. N., Goddard, N. & Leigh, J., 1997, Progress in Neuroinformatics. Koslow, S. & Huerta, M. (eds.). Lawrence Erlbaum Associates, Vol. 1. 203 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  51. The Fractal and Multifractal Nature of Traffic

    Storkey, A., 1996, UTSG Conference, January 1996. 21 p.

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

  52. The Effects of Ectopic White and Transformer Expression on Drosophila Courtship Behavior

    An, X., Armstrong, J. D., Kaiser, K. & O'Dell, K. M. C., 2000, In : Journal of neurogenetics. 14, 4, p. 227-243 17 p.

    Research output: Contribution to journalArticle

  53. 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

  54. The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes

    Lyons, S., Storkey, A. J. & Särkkä, S., 2012, Advances in Neural Information Processing Systems 25 (NIPS 2012). Pereira, F., Burges, C. J. C., Bottou, L. & Weinberger, K. Q. (eds.). Curran Associates Inc, p. 1952-1960 9 p.

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

  55. The Broad-Spectrum Antimicrobial Potential of [Mn(CO)4S2CNMe(CH2CO2H)], a Water-Soluble CO-Releasing Molecule (CORM-401): Intracellular Accumulation, Transcriptomic and Statistical Analyses, and Membrane Polarization

    Wareham, L., McLean, S., Beqq, R., Rana, N., Ali, S., Kendall, J., Sanguinetti, G., Mann, B. & Poole, R., 10 May 2018, In : Antioxidants and Redox Signaling. 28, 14, 66 p.

    Research output: Contribution to journalArticle

  56. The Art of Detection

    Crowley, E. J. & Zisserman, A., 18 Sep 2016, Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I. Hua, G. & Jégou, H. (eds.). Cham: Springer International Publishing, p. 721-737 17 p. (Lecture Notes in Computer Science; vol. 9913).

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

  57. The 2005 PASCAL visual object classes challenge

    Everingham, M., Zisserman, A., Williams, C. K. I., Van Gool, L., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorko, G., Duffner, S., Eichhorn, J., Farquhar, J. D. R., Fritz, M., Garcia, C., Griffiths, T., Jurie, F., Keysers, D., Koskela, M., Laaksonen, J. & 14 others, Larlus, D., Leibe, B., Meng, H., Ney, H., Schiele, B., Schmid, C., Seemann, E., Shawe-Taylor, J., Storkey, A., Szedmak, S., Triggs, B., Ulusoy, I., Viitaniemi, V. & Zhang, J., 2006, Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment . Quinonero-Candela, J., Dagan, Magnini, B. & D'Alche-Buc, F. (eds.). Berlin: Springer-Verlag Berlin Heidelberg, p. 117-176 60 p. (Lecture Notes in Computer Science; vol. 3944).

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

  58. The "silent" surround of V1 receptive fields: theory and experiments

    Series, P., Lorenceau, J. & Frégnac, Y., 1 Jul 2003, In : Journal of Physiology-Paris. 97, 4-6, p. 453-474

    Research output: Contribution to journalArticle

  59. 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

  60. 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

  61. Teaching Multiple Concepts to a Forgetful Learner

    Hunziker, A., Chen, Y., Mac Aodha, O., Gomez Rodriguez, M., Krause, A., Perona, P., Yue, Y. & Singla, A., 14 Dec 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). Curran Associates Inc, Vol. 32. p. 4050-4060 23 p.

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

  62. Teaching Categories to Human Learners with Visual Explanations

    Mac Aodha, O., Su, S., Chen, Y., Perona, P. & Yue, Y., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 3820-3828 9 p.

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

  63. Targeted tandem affinity purification of PSD-95 recovers core postsynaptic complexes and schizophrenia susceptibility proteins

    Fernandez, E., Collins, M. O., Uren, R. T., Kopanitsa, M. V., Komiyama, N. H., Croning, M. D. R., Zografos, L., Armstrong, J. D., Choudhary, J. S. & Grant, S. G. N., May 2009, In : Molecular Systems Biology. 5, p. - 17 p., 269.

    Research output: Contribution to journalArticle

  64. TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data

    De Sano, L., Caravagna, G., Ramazzotti, D., Graudenzi, A., Mauri, G., Mishra, B. & Antoniotti, M., 15 Jun 2016, In : Bioinformatics. 32, 12, p. 1911-1913 3 p.

    Research output: Contribution to journalArticle

  65. TFInfer: a tool for probabilistic inference of transcription factor activities

    Asif, H. M. S., Rolfe, M. D., Green, J., Lawrence, N. D., Rattray, M. & Sanguinetti, G., Oct 2010, In : Bioinformatics. 26, 20, p. 2635-2636 2 p.

    Research output: Contribution to journalArticle

  66. TASSAL: Autofolding for Source Code Summarization

    Fowkes, J., Chanthirasegaran, P., Ranca, R., Allamanis, M., Lapata, M. & Sutton, C., May 2016, ICSE '16 Proceedings of the 38th International Conference on Software Engineering Companion. ACM, p. 649-652 4 p.

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

  67. Systems biology meets synthetic biology: a case study of the metabolic effects of synthetic rewiring

    Noirel, J., Ow, S. Y., Sanguinetti, G. & Wright, P. C., 2009, In : Molecular BioSystems. 5, p. 1214-1223 10 p.

    Research output: Contribution to journalArticle

  68. Systems biological approach to Parkinson's disease: Uncovering effects of PD on the synapse

    Heil, K. F., Sorokina, O., Armstrong, J. D. & Hellgren-kotaleski, J., 19 Jun 2016.

    Research output: Contribution to conferenceAbstract

  69. Systems analysis of transcription factor activities in environments with stable and dynamic oxygen concentrations

    Rolfe, M. D., Ocone, A., Stapleton, M. R., Hall, S., Trotter, E. W., Poole, R. K., Sanguinetti, G. & Green, J., 1 Jul 2012, In : Open Biology. 2, 7, 120091.

    Research output: Contribution to journalArticle

  70. Systematic biases in early ERP and ERF components as a result of high-pass filtering

    Acunzo, D., MacKenzie, G. & van Rossum, M. C. W., 2012, In : Journal of Neuroscience Methods. 209, 1, p. 212-218 7 p.

    Research output: Contribution to journalArticle

  71. 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

  72. Synthetic gene circuits for metabolic control: design trade-offs and constraints

    Oyarzún, D. A. & Stan, G-B. V., 6 Jan 2013, In : Journal of the Royal Society Interface. 10, 78, p. 20120671 1 p.

    Research output: Contribution to journalArticle

  73. Synthesizing realistic neural population activity patterns using Generative Adversarial Networks

    Molano-Mazon, M., Onken, A., Piasini, E. & Panzeri, S., 3 May 2018, International Conference on Learning Representations 2018. 24 p.

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

  74. Synchronized Neural Activity in the Drosophila Memory Centers and Its Modulation by amnesiac

    Rosay, P., Armstrong, J. D., Wang, Z. & Kaiser, K., 2001, In : Neuron. 30, 3, p. 759-770 12 p.

    Research output: Contribution to journalArticle

  75. Synaptic rewiring for topographic mapping and receptive field development

    Bamford, S., Murray, A. & Willshaw, D. J., May 2010, In : Neural Networks. 23, 4, p. 517-527 11 p.

    Research output: Contribution to journalArticle

  76. Synaptic interactome mining reveals p140Cap as a new hub for PSD proteins involved in psychiatric and neurological disorders

    Alfieri, A., Sorokina, O., Adrait, A., Angelini, C., Russo, I., Morellato, A., Matteoli, M., Menna, E., Erba, E. B., McLean, C., Armstrong, J. D., Ala, U., Buxbaum, J. D., Brusco, A., Couté, Y., De Rubeis, S., Turco, E. & Defilippi, P., 30 Jun 2017, In : Frontiers in Molecular Neuroscience. p. 1-15 15 p., 212.

    Research output: Contribution to journalArticle

  77. 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

  78. Synaptic Rewiring for Topographic Map Formation

    Bamford, S., Murray, A. & Willshaw, D. J., 3 Sep 2008, International Conference on Artificial Neural Networks (ICANN). p. 218-227 10 p.

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

  79. Synapse proteomics of multiprotein complexes: en route from genes to nervous system diseases

    Grant, S. G. N., Marshall, M. C., Page, K-L., Cumiskey, M. A. & Armstrong, J. D., 2005, In : Human Molecular Genetics. 14, suppl 2, p. R225-R234 10 p.

    Research output: Contribution to journalArticle

  80. Synaesthesia in a logographic language: The colouring of Chinese characters and Pinyin/Bopomo spellings

    Simner, J., Hung, W-Y. & Shillcock, R., Dec 2011, In : Consciousness and Cognition. 20, 4, p. 1376-1392

    Research output: Contribution to journalArticle

  81. 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

  82. SynSysNet: integration of experimental data on synaptic protein-protein interactions with drug-target relations

    von Eichborn, J., Dunkel, M., Gohlke, B. O., Preissner, S. C., Hoffmann, M. F., Bauer, J. M. J., Armstrong, D., Schaefer, M. H., Andrade-Navarro, M. A., Le Novere, N., Croning, M. D. R., Grant, S. G. N., van Nierop, P., Smit, A. B. & Preissner, R., Jan 2013, In : Nucleic Acids Research. 41, D1, p. D834-D840 7 p.

    Research output: Contribution to journalArticle

  83. Switching regulatory models of cellular stress response

    Sanguinetti, G., Ruttor, A., Opper, M. & Archambeau, C., May 2009, In : Bioinformatics. 25, 10, p. 1280-1286 7 p.

    Research output: Contribution to journalArticle

  84. Supporting User-Defined Functions on Uncertain Data

    Tran, T. T. L., Diao, Y., Sutton, C. A. & Liu, A., 2013, In : Proceedings of the VLDB Endowment (PVLDB). 6, 6, p. 469-480 12 p.

    Research output: Contribution to journalArticle

  85. Summarizing Software API Usage Examples using Clustering Techniques

    Katirtzis, N., Diamantopoulos, T. & Sutton, C., 2018, Proceedings of the 21st International Conference on Fundamental Approaches to Software Engineering. Thessaloniki, Greece: Springer, Cham, Vol. 10802. p. 189-206 17 p.

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

  86. Suggesting Accurate Method and Class Names

    Allamanis, M., Barr, E. T., Bird, C. & Sutton, C., 2015, Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering. ACM, p. 38-49 12 p.

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

  87. Suboptimal triangular controller design methodology for full MIMO stable systems

    Oyarzun, DA. & Salgado, M. E., 2006, Proceedings of the UKACC Conference. Glasgow, UK, 6 p.

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

  88. Studying neuronal function using the Drosophila genetic system

    Armstrong, D. & Goodwin, S. F., 2006, Molecular Biology of the Neuron. p. 1-14 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  89. Studying Emergent Behaviours in Morphogenesis Using Signal Spatio-Temporal Logic

    Bartocci, E., Bortolussi, L., Milios, D., Nenzi, L. & Sanguinetti, G., 2015, Hybrid Systems Biology: Fourth International Workshop, HSB 2015, Madrid, Spain, September 4-5, 2015. Revised Selected Papers. Abate, A. & Safránek, D. (eds.). Springer International Publishing, p. 156-172 17 p. (Lecture Notes in Computer Science; vol. 9271).

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

  90. Studies on long term behavioural changes in group-housed rat models of brain and spinal cord injury using an automated home cage recording system

    Yip, P. K., Chapman, G. E., Sillito, R. R., Ip, T. H. R., Akhigbe, G., Becker, S. C., Price, A. W., Michael-Titus, A. T., Armstrong, J. D. & Tremoleda, J. L., Jun 2019, In : Journal of Neuroscience Methods. 321, p. 49 - 63 15 p.

    Research output: Contribution to journalArticle

  91. 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

  92. Structured Prediction of Unobserved Voxels from a Single Depth Image

    Firman, M., Mac Aodha, O., Julier, S. & Brostow, G. J., 12 Dec 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers (IEEE), p. 5431-5440 10 p.

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

  93. Structure of the Adult Central Complex in Drosophila: Organization of Distinct Neuronal Subsets

    Young, J. M. & Armstrong, J. D., 1 May 2010, In : Journal of Comparative Neurology. 518, 9, p. 1500-1524 25 p.

    Research output: Contribution to journalArticle

  94. Structure and Development of the Central Complex

    Young, J. & Armstrong, D., 2009, In : Journal of neurogenetics. 23, p. S62-S62 1 p.

    Research output: Contribution to journalMeeting abstract

  95. Structural Expectation Propagation (SEP): Bayesian Structure Learning for Networks with Latent Variables

    Lazic, N., Bishop, C. M. & Winn, J., 1 May 2013, Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics (AIStats), Scottsdale, AZ, USA. Carvalho, C. M. & Ravikumar, P. (eds.). Journal of Machine Learning Research: Workshop and Conference Proceedings, Vol. 31. p. 379-387 9 p.

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

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