Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 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

  2. 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

  3. 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)

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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)

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. The Topographica cortical map simulator

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

    Research output: Contribution to conferencePoster

  19. 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

  20. 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

  21. 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

  22. The application of particle filters in single trial event-related potential estimation

    Mohseni, H. R., Nazarpour, K., Wilding, E. L. & Sanei, S., 1 Oct 2009, In : Physiological Measurement. 30, 10, p. 1101-1116 16 p.

    Research output: Contribution to journalArticle

  23. 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

  24. 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

  25. The concrete universal and cognitive science

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

    Research output: Contribution to journalArticle

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. The privacy paradox and its implications for learning analytics

    Tsai, Y-S., Whitelock-Wainwright, A. & Gasevic, D., 23 Mar 2020, LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge. Association for Computing Machinery (ACM), p. 230-239 10 p.

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

  43. 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

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

    Nash, C. & Williams, C. K. I., Aug 2017, In : Computer Graphics Forum. 36, 5, p. 1-12 11 p.

    Research output: Contribution to journalArticle

  45. The technology behind a shared demand responsive transport system for a university campus

    Attard, M., Camilleri, M. P. J. & Muscat, A., 17 Mar 2020, In : Research in Transportation Business & Management. 12 p., 100463.

    Research output: Contribution to journalArticle

  46. The use of data-mining for the automatic formation of tactics

    Duncan, H., Bundy, A., Levine, J., Storkey, A. & Pollet, M., 2004, Computer-Supported Mathematical Theory Development’04.

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

  47. The winged helix transcription factor Foxg1 facilitates retinal ganglion cell axon crossing of the ventral midline in the mouse

    Pratt, T., Tian, N. M. M-L., Simpson, T. I., Mason, J. O. & Price, D. J., 2004, In : Development. 131, 15, p. 3773-84 12 p.

    Research output: Contribution to journalArticle

  48. Theoretical models of synaptic short term plasticity

    Hennig, M. H., 2013, In : Frontiers in Computational Neuroscience. 7, 10 p., 45.

    Research output: Contribution to journalArticle

  49. Thermal comfort requirements: A study of people with multiple sclerosis

    Webb, L., Parsons, K. C. & Hodder, S. G., 1999, In : ASHRAE Transactions. 105, p. 648-660 13 p.

    Research output: Contribution to journalArticle

  50. Third cumulant of the total transmission of diffuse waves

    van Rossum, M. C. W., de Boer, J. F. & Nieuwenhuizen, T. M., 1 Aug 1995, In : Physical Review E - Statistical, Nonlinear and Soft Matter Physics. 52, 2, p. 2053-2065 13 p.

    Research output: Contribution to journalArticle

  51. Tilt Aftereffects In A Self-Organizing Model Of The Primary Visual Cortex

    Bednar, J. A. & Miikkulainen, R., 2000, In : Neural Computation. 12, p. 1721-1740 20 p.

    Research output: Contribution to journalArticle

  52. To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions

    Lopez Guevara, T., Pucci, R., Taylor, N., Gutmann, M., Ramamoorthy, S. & Subr, K., 2018. 5 p.

    Research output: Contribution to conferencePaper

  53. Topographic Analysis of Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A., 2012, Proc. Asian Conference on Machine Learning (ACML). Journal of Machine Learning Research - Proceedings Track, p. 365-378 14 p. 25

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

  54. 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

  55. Topographica: Computational Modeling of Neural Maps

    Ball, C. E. & Bednar, J. A., 2009.

    Research output: Contribution to conferencePoster

  56. Topographica: building and analyzing map-level simulations from Python, C/C++, MATLAB, NEST, or NEURON components

    Bednar, J. A., 2009, In : Frontiers in Neuroinformatics. 3, 8, p. 1-9 9 p., 8.

    Research output: Contribution to journalArticle

  57. Toward a low-cost gait analysis system for clinical and free-living assessment

    Ladha, C., Din, S. D., Nazarpour, K., Hickey, A., Morris, R., Catt, M., Rochester, L. & Godfrey, A., 18 Oct 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 1874-1877 4 p.

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

  58. Toward data representation with spiking neurons

    Gutmann, M. & Aihara, K., 2008, In : Artificial Life and Robotics. 12, 1, p. 223-226 4 p.

    Research output: Contribution to journalArticle

  59. Towards Low-Dimensionsal Proportional Myoelectric Control

    Krasoulis, A., Nazarpour, K. & Vijayakumar, S., 2015, Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. Institute of Electrical and Electronics Engineers (IEEE), p. 7155 - 7158 4 p.

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

  60. Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices

    Radu, V., Lane, N. D., Bhattacharya, S., Mascolo, C., Marina, M. K. & Kawsar, F., 12 Sep 2016, Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. New York, NY, USA: ACM, p. 185-188 4 p. (UbiComp '16).

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

  61. Towards NeuroML: model description methods for collaborative modelling in neuroscience.

    Goddard, N., Hucka, M., Howell, F., Cornelis, H., Shankar, K. & Beeman, D., 1 Aug 2001, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 356, 1412, p. 1209-1228 20 p.

    Research output: Contribution to journalArticle

  62. Towards a Neural Statistician

    Edwards, H. & Storkey, A., 26 Apr 2017, 5th International Conference on Learning Representations (ICLR 2017). 13 p.

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

  63. Towards a quantitative model of the post-synaptic proteome

    Sorokina, O., Sorokin, A. & Armstrong, J. D., 2011, In : Molecular BioSystems. 7, 10, p. 2813-2823 11 p.

    Research output: Contribution to journalArticle

  64. Towards a virtual fly brain

    Armstrong, J. D. & van Hemert, J. I., Jun 2009, In : Philosophical Transactions A: Mathematical, Physical and Engineering Sciences. 367, 1896, p. 2387-2397 11 p.

    Research output: Contribution to journalArticle

  65. Towards learning analytics adoption: A mixed methods study of data-related practices and policies in Latin American universities

    Hilliger, I., Ortiz-Rojas, M., Pesántez-Cabrera, P., Scheihing, E., Tsai, Y-S., Muñoz-Merino, P. J., Broos, T., Whitelock-Wainwright, A., Gašević, D. & Pérez-Sanagustín, M., 31 Jul 2020, In : British Journal of Educational Technology. 51, 4, p. 915–937 23 p.

    Research output: Contribution to journalArticle

  66. Towards tracking homeostais on high-density multi-electrode arrays

    Panas, D., Maccione, A., Berdondini, L. & Hennig, M., Sep 2012.

    Research output: Contribution to conferencePoster

  67. Tracking of Individual Mice in a Social Setting Using Video Tracking Combined with RFID tags

    Armstrong, J. D., Acevedo-Arozena, A., Bains, R. S., Cater, H., Chartsias, A., Nolan, P., Sneddon, D., Sillito, R. & Wells, S., 25 May 2016, Proceedings of Measuring Behavior 2016: 10th International Conference on Methods and Techniques in Behavioral Research. Spink, A. J., Riedel, G., Zhou, L., Teekens, L., Albatal, R. & Gurrin, C. (eds.). Dublin, Ireland, p. 413-416 4 p.

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

  68. Tract shape modelling provides evidence of topological change in corpus callosum genu during normal ageing

    Bastin, M. E., Piatkowski, J. P., Storkey, A. J., Brown, L. J., MacLullich, A. M. J. & Clayden, J. D., 15 Oct 2008, In : NeuroImage. 43, 1, p. 20-28 9 p.

    Research output: Contribution to journalArticle

  69. Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities

    Adams, R. P., Murray, I. & MacKay, D. J. C., 2009, Proceedings of the 26th International Conference on Machine Learning. 8 p.

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

  70. TractoR: Magnetic Resonance Imaging and Tractography with R

    Clayden, J. D., Maniega, S. M., Storkey, A. J., King, M. D., Bastin, M. E. & Clark, C. A., Oct 2011, In : Journal of statistical software. 44, 8, p. 1-18 18 p.

    Research output: Contribution to journalArticle

  71. Training Deep Convolutional Neural Networks to Play Go

    Clark, C. & Storkey, A., 2015, Proceedings of the 32nd International Conference on Machine Learning (IMCL 2015). Lille, France: PMLR, Vol. 37. p. 1766-1774 9 p.

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

  72. Transcript Profiling and Inference of Escherichia coli K-12 ArcA Activity across the Range of Physiologically Relevant Oxygen Concentrations

    Rolfe, M. D., Ter Beek, A., Graham, A. I., Trotter, E. W., Asif, H. M. S., Sanguinetti, G., de Mattos, J. T., Poole, R. K. & Green, J., 25 Mar 2011, In : Journal of Biological Chemistry. 286, 12, p. 10147-10154 8 p.

    Research output: Contribution to journalArticle

  73. 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

  74. Transcription rate strongly affects splicing fidelity and cotranscriptionality in budding yeast

    Aslanzadeh, V., Huang, Y., Sanguinetti, G. & Beggs, J., 2018, In : Genome Research. 12 p.

    Research output: Contribution to journalArticle

  75. Transcriptional Analysis of Gli3 Mutants Identifies Wnt Target Genes in the Developing Hippocampus

    Hasenpusch-Theil, K., Magnani, D., Amaniti, E-M., Han, L., Armstrong, D. & Theil, T., Dec 2012, In : Cerebral Cortex. 22, 12, p. 2878-2893 16 p.

    Research output: Contribution to journalArticle

  76. Transformation Equivariant Boltzmann Machines

    Kivinen, J. J. & Williams, C. K. I., 2011, Artificial Neural Networks and Machine Learning - ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. Honkela, T., Duch, W., Girolami, M. & Kaski, S. (eds.). Springer-Verlag GmbH, p. 1-9 9 p. (Lecture Notes in Computer Science; vol. 6791).

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

  77. Transition of Escherichia coli from Aerobic to Micro-aerobic Conditions Involves Fast and Slow Reacting Regulatory Components

    Partridge, J. D., Sanguinetti, G., Dibden, D. P., Roberts, R. E., Poole, R. K. & Green, J., Apr 2007, In : Journal of Biological Chemistry. 282, 15, p. 11230-11237 8 p.

    Research output: Contribution to journalArticle

  78. Transmission of population-coded information

    Renart, A. & van Rossum, M. C. W., Feb 2012, In : Neural Computation. 24, 2, p. 391-407 17 p.

    Research output: Contribution to journalArticle

  79. Tree-Based Learning of Regulatory Network Topologies and Dynamics with Jump3

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer New York LLC, p. 217-233 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  80. Tree-structured belief networks as models of images

    Feng, X. & Williams, C. K. I., 1 Jan 1999, Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470). IET, p. 31-36 5 p.

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

  81. Trends and challenges in Computational RNA biology

    Selega, A. & Sanguinetti, G., 7 Dec 2016, In : Genome Biology. 17, 253, p. 1-4 4 p.

    Research output: Contribution to journalMeeting abstract

  82. Truncated covariance matrices and Toeplitz methods in Gaussian processes

    Storkey, AJ., 1999, Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470) (Volume:1 ) . EDISON: INST ELECTRICAL ENGINEERS INSPEC INC, p. 55-60 6 p. (IEE CONFERENCE PUBLICATIONS).

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

  83. Tuning Curve Sharpening for orientation selectivity: coding efficiency and the impact of correlations

    Series, P., Latham, P. & Pouget, A., 2004, In : Nature Neuroscience. 7, p. 1129-35

    Research output: Contribution to journalArticle

  84. U-check: Model Checking and Parameter Synthesis under Uncertainty

    Bortolussi, L., Milios, D. & Sanguinetti, G., 2015, Quantitative Evaluation of Systems: 12th International Conference, QEST 2015, Madrid, Spain, September 1-3, 2015, Proceedings. Springer International Publishing, p. 89-104 16 p. (Lecture Notes in Computer Science; vol. 9259).

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

  85. Ultrasensitive Magnetoelectric Sensing Systemfor pico-Tesla MagnetoMyoGraphy

    Zuo, S., Schmalz, J., Ozden, M-O., Ozden, M-O., Su, J., Niekiel, F., Lofink, F., Nazarpour, K. & Heidari, H., 28 May 2020, In : IEEE Transactions on Biomedical Circuits and Systems. 14 p.

    Research output: Contribution to journalArticle

  86. Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations

    Georgoulas, A., Hillston, J. & Sanguinetti, G., 1 Jul 2017, In : Statistics and Computing. 27, 4, p. 991–1002 12 p.

    Research output: Contribution to journalArticle

  87. Understanding Neural Maps with Topographica

    Bednar, J. A., 2008, In : Brains, Minds & Media. 1

    Research output: Contribution to journalArticle

  88. Understanding Neural Population Coding: Information Theoretic Insights from the Auditory System

    Onken, A., Karunasekara, P. P. C. R., Kayser, C. & Panzeri, S., 19 Oct 2014, In : Advances in Neuroscience. 2014, p. 1-14 15 p., 907851.

    Research output: Contribution to journalArticle

  89. 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

  90. Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners

    Chen, Y., Singla, A., Mac Aodha, O., Perona, P. & Yue, Y., 8 Dec 2018, Advances in Neural Information Processing Systems 31. Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). Neural Information Processing Systems, Vol. 31. p. 1476-1486 11 p.

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

  91. Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning

    Costa, R. P., Froemke, R. C., Sjöström, P. J. & Van Rossum, M. C. W., 26 Aug 2015, In : eLIFE. 4, 24 p.

    Research output: Contribution to journalArticle

  92. Universal fluctuations in a simple disordered system

    Nieuwenhuizen, T. M. & Van Rossum, M., 1991, In : Physics letters a. 160, 5, p. 461 - 464 4 p.

    Research output: Contribution to journalArticle

  93. Unsupervised Monocular Depth Estimation with Left-Right Consistency

    Godard, C., Mac Aodha, O. & Brostow, G. J., 9 Nov 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers (IEEE), p. 6602-6611 10 p.

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