Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. A Bayesian Approach to Parameter Inference in Queueing Networks

    Wang, W., Casale, G. & Sutton, C., Aug 2016, In : ACM Transactions on Modeling and Computer Simulation. 27, 1, 26 p., 2.

    Research output: Contribution to journalArticle

  2. A Bayesian Network Model for Interesting Itemsets

    Fowkes, J. & Sutton, C., 4 Sep 2016, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2016). Riva del Garda, Italy: Springer, Cham, p. 410-425 16 p. (Lecture Notes in Computer Science ; vol. 9852).

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

  3. A Bayesian approach for structure learning in oscillating regulatory networks

    Trejo-Banos, D., Millar, A. & Sanguinetti, G., 14 Jul 2015, In : Bioinformatics. 31, 22, p. 3617-3624 8 p.

    Research output: Contribution to journalArticle

  4. A Biophysical model of long-term potentiation and synaptic tagging

    Barrett, A., Billings, G., Morris, R. G. M. & van Rossum, M. C. W., 2007.

    Research output: Contribution to conferencePoster

  5. A CONNECTIONIST MODEL OF PRELEXICAL PROCESSING IN SPOKEN WORD RECOGNITION

    LEVY, J., CHATER, N. & Shillcock, R., 1992, In : International Journal of Psychology. 27, 3-4, p. 63-63 1 p.

    Research output: Contribution to journalArticle

  6. A Case Study on Meta-generalising: A Gaussian Processes Approach

    Skolidis, G. & Sanguinetti, G., 1 Mar 2012, In : Journal of Machine Learning Research. 13, 1, p. 691-721 31 p.

    Research output: Contribution to journalArticle

  7. A Comparison of Frequentist and Bayesian Approaches to Latent Class Modelling of Susceptibility to Asthma and Patterns of Antibiotic Prescriptions in Early Life

    Belgrave, D., Bishop, C., Custovic, A., Simpson, A., Semic-Jusufagic, A., Pickles, A. & Buchan, I., 2011, Proceedings of the 26th International Workshop on Statistical Modelling. Valencia (Spain). p. 75-78 4 p.

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

  8. A Composable Strategy for Shredded Document Reconstruction

    Ranca, R. & Murray, I., 2013, Computer Analysis of Images and Patterns. Wilson, R., Hancock, E., Bors, A. & Smith, W. (eds.). Springer-Verlag GmbH, p. 324-331 8 p. (Lecture Notes in Computer Science; vol. 8048).

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

  9. A Convolutional Attention Network for Extreme Summarization of Source Code

    Allamanis, M., Peng, H. & Sutton, C., 24 Jun 2016, Proceedings of The 33rd International Conference on Machine Learning, PMLR. New York, United States: PMLR, Vol. 48. p. 2091-2100 10 p.

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

  10. 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

  11. A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks

    Sweeney, Y., Hellgren Kotaleski, J. & Hennig, M. H., Jul 2015, In : PLoS Computational Biology. 11, 7, e1004389.

    Research output: Contribution to journalArticle

  12. A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models

    Pihlaja, M., Gutmann, M. & Hyvärinen, A., 2010, Proc. Conf. on Uncertainty in Artificial Intelligence (UAI). Corvallis, Oregon: AUAI Press, p. 442-449 8 p.

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

  13. A Framework for Characterizing an Economy by its Energy and Socio-Economic Activities

    Roberts, S., Axon, C., Foran, B., Goddard, N. & Warr, B. S., Feb 2015, In : Sustainable Cities and Society. 14, p. 99-113 15 p.

    Research output: Contribution to journalArticle

  14. A Framework for Evaluating Approximation Methods for Gaussian Process Regression

    Chalupka, K., Williams, C. K. I. & Murray, I., 2013, In : Journal of Machine Learning Research. 14, p. 333-350 18 p.

    Research output: Contribution to journalArticle

  15. A Framework for the Quantitative Evaluation of Disentangled Representations

    Eastwood, C. & Williams, C. K. I., 3 May 2018, Sixth International Conference on Learning Representations (ICLR 2018). 15 p.

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

  16. A Frank mixture copula family for modeling higher-order correlations of neural spike counts

    Onken, A. & Obermayer, K., 2009, In : Journal of Physics: Conference Series. 197, 1, p. 1-10 10 p., 12019.

    Research output: Contribution to journalArticle

  17. A Generative Model for Parts-based Object Segmentation

    Eslami, S. M. A. & Williams, C. K. I., 2012, Advances in Neural Information Processing Systems 25. Bartlett, P., Pereira, F. C. N., Burges, C. J. C., Bottou, L. & Weinberger, K. Q. (eds.). p. 100-107 8 p.

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

  18. A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex

    Reichert, D. P., Series, P. & Storkey, A. J., 2011, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2011, PT I. Honkela, T., Duch, W., Girolami, M. & Kaski, S. (eds.). BERLIN: Springer-Verlag Berlin Heidelberg, p. 18-25 8 p. (Lecture Notes in Computer Science; vol. 6791).

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

  19. 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

  20. A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts

    Onken, A., Dragoi, V. & Obermayer, K., 7 Jun 2012, In : PLoS Computational Biology. 8, 6, p. 1-12 12 p., e1002539.

    Research output: Contribution to journalArticle

  21. A Model for the Origin and Properties of Flicker-Induced Geometric Phosphenes

    Rule, M., Ermentrout, B. & Stoffregen, M., 29 Sep 2011, In : PLoS Computational Biology. 7, 9, p. 1-14 14 p.

    Research output: Contribution to journalArticle

  22. A Neural Circuit Mechanism Integrating Motivational State with Memory Expression in Drosophila

    Krashes, M. J., DasGupta, S., Vreede, A., White, B., Armstrong, J. D. & Waddell, S., 16 Oct 2009, In : Cell. 139, 2, p. 416-427 12 p.

    Research output: Contribution to journalArticle

  23. A Neural Network Approach to Tokamak Equilibrium Control

    Bishop, C., Cox, P., Haynes, P., Roach, C., Smith, M., Todd, T. & Trotman, D., 1992, Neural Network Applications. Taylor, J. G. (ed.). Springer London, p. 114-128 15 p. (Perspectives in Neural Computing).

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

  24. A Neural Network Model of Visual Tilt Aftereffects

    Bednar, J. A. & Miikkulainen, R., 1997, In Proceedings of the 19th Annual Conference of the Cognitive Science Society. Shafto, M. G. & Langley, P. (eds.). Erlbaum, p. 37-42 6 p.

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

  25. A New Framework for Machine Learning

    Bishop, C., 2008, Computational Intelligence: Research Frontiers: IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures. Zurada, J., Yen, G. & Wang, J. (eds.). Springer Berlin Heidelberg, p. 1-24 24 p. (Lecture Notes in Computer Science; vol. 5050).

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

  26. A New Probabilistic Generative Model of Parameter Inference in Biochemical Networks

    Lecca, P., Palmisano, A., Priami, C. & Sanguinetti, G., 2009, Proceedings of the 2009 ACM Symposium on Applied Computing. New York, NY, USA: ACM, p. 758-765 8 p. (SAC '09).

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

  27. A Novel Approach to the Analysis of Multiplexed Neural Codes

    Molano-Mazon, M., Onken, A., Safaai, H. & Panzeri, S., 23 Sep 2016. 1 p.

    Research output: Contribution to conferenceAbstract

  28. A Novel Spike Distance

    Van Rossum, M. C. W., 1 Apr 2001, In : Neural Computation. 13, 4, p. 751-763 13 p.

    Research output: Contribution to journalArticle

  29. A Nutrient-Driven tRNA Modification Alters Translational Fidelity and Genome-wide Protein Coding across an Animal Genus

    Zaborske, J. M., DuMont, V. L. B., Wallace, E. W. J., Pan, T., Aquadro, C. F. & Drummond, D. A., 9 Dec 2014, In : PLoS Biology. 12, 12, 13 p., e1002015.

    Research output: Contribution to journalMeeting abstract

  30. A Perturbative Approach to Novelty Detection in Autoregressive Models

    Filippone, M. & Sanguinetti, G., 1 Mar 2011, In : IEEE Transactions on Signal Processing. 59, 3, p. 1027-1036 10 p.

    Research output: Contribution to journalArticle

  31. A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data

    Williams, B. H., Toussaint, M. & Storkey, A. J., 2007, IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007. Veloso, MM. (ed.). Freiburg: IJCAI-INT JOINT CONF ARTIF INTELL, p. 1119-1124 6 p.

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

  32. A Probabilistic Model-Based Approach to Consistent White Matter Tract Segmentation

    Clayden, J. D., Storkey, A. J. & Bastin, M. E., 1 Nov 2007, In : IEEE Transactions on Medical Imaging. 26, 11, p. 1555-1561 7 p.

    Research output: Contribution to journalArticle

  33. A Self-Organizing Neural Network Model of the Primary Visual Cortex

    Miikkulainen, R., Bednar, J., Choe, Y. & Sirosh, J., 1998, Proceedings of the Fifth International Conference on Neural Information Processing (ICONIP'98), Volume 2. Usui, S. & Omori, T. (eds.). p. 815-818 4 p.

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

  34. A Single-Trace Dual-Process Model of Episodic Memory: A Novel Computational Account of Familiarity and Recollection

    Greve, A., Donaldson, D. I. & van Rossum, M. C. W., 21 Jul 2010, In : Hippocampus. 20, 2, p. 235-251 17 p.

    Research output: Contribution to journalArticle

  35. A Software Interface Between the Narrative Language and Bio-PEPA

    Georgoulas, A. & Guerriero, M. L., 2013, In : Electronic Proceedings in Theoretical Computer Science. 293, p. 51-65 15 p.

    Research output: Contribution to journalArticle

  36. A Special Class of Toroidal MHD Equilibria Including Minimum-B

    Bishop, C. M. & Taylor, J. B., 1985, Proceedings 12 European Conference on Controlled Fusion and Plasma Physics, Budapest. p. 401–404 4 p.

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

  37. A Subsequence Interleaving Model for Sequential Pattern Mining

    Fowkes, J. & Sutton, C., 13 Aug 2016, KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Francisco , United States: ACM, p. 835-844 10 p.

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

  38. A Survey of Machine Learning for Big Code and Naturalness

    Allamanis, M., Barr, E. T., Devanbu, P. & Sutton, C., 31 Jul 2018, In : ACM Computing Surveys. 51, 4, 36 p., 81.

    Research output: Contribution to journalArticle

  39. A Systematic Nomenclature for the Drosophila Ventral Nervous System

    Court, R. C., Armstrong, J. D., Borner, J., Card, G., Costa, M., Dickinson, M., Duch, C., Korff, W., Mann, R., Merritt, D., Murphey, R., Namiki, S., Seeds, A., Shepherd, D., Shirangi, T., Simpson, J., Truman, J., Tuthill, J. & Williams, D., 2017, (Submitted).

    Research output: Working paper

  40. 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

  41. A Systems Biological Approach to Parkinson's Disease

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

    Research output: Contribution to conferencePoster

  42. A Text-Mining Approach to Explain Unwanted Behaviours

    Chen, W., Aspinall, D., Gordon, A., Sutton, C. & Muttik, I., 18 Apr 2016, EuroSec '16 Proceedings of the 9th European Workshop on System Security . ACM, 6 p. 4

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

  43. A Topic Model for Melodic Sequences

    Spiliopoulou, A. & Storkey, A. J., 2012, Proceedings of the 29th International Conference on Machine Learning (ICML-12). Langford, J. & Pineau, J. (eds.). New York, NY, USA: ACM, p. 1143-1150 8 p.

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

  44. A Variational Approach for the Online Dual Estimation of Spatiotemporal Systems Governed by the IDE

    Mangion, A. Z., Sanguinetti, G. & Kadirkamanathan, V., 28 Aug 2011, Proceedings of the 18th IFAC World Congress, 2011 . International Federation of Automatic Control, p. 3204-3209 6 p.

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

  45. 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

  46. A biophysical model of short-term plasticity at the calyx of Held

    Hennig, M. H., Postlethwaite, M., Forsythe, I. D. & Graham, B. P., 1 Jun 2007, In : Neurocomputing. 70, 10-12, p. 1626-1629

    Research output: Contribution to journalArticle

  47. A biophysically realistic simulation of the vertebrate retina.

    Hennig, M. & Funke, K., 2001, In : Neurocomputing. 38-40, p. 659-665

    Research output: Contribution to journalArticle

  48. A branch and bound algorithm for the global optimization of Hessian Lipschitz continuous functions

    Fowkes, J., Gould, N. & Farmer, C., 2012, In : Journal of Global Optimization. 56, 4, p. 1791-1815

    Research output: Contribution to journalArticle

  49. A contralateral hemifoveal advantage in isolated word recognition

    Obregón, M. & Shillcock, R., 1 Aug 2007, p. 85. 1 p.

    Research output: Contribution to conferenceAbstract

  50. A determinant-free method to simulate the parameters of large Gaussian fields

    Ellam, L., Strathmann, H., Girolami, M. & Murray, I., Aug 2017, In : Stat. 6, 1, p. 271-281 11 p.

    Research output: Contribution to journalArticle

  51. 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

  52. A general mathematical model of transduction events in mechano-sensory stretch receptors

    Armstrong, J. D., Jarman, A. P. & Suslak, T., 2011, In : Network: Computation in Neural Systems. 22, 1-4, p. 133-42 10 p.

    Research output: Contribution to journalArticle

  53. A model of mechanotransduction in Drosophila non-ciliated, primary endings

    Suslak, T., Bewick, G., Armstrong, D. & Jarman, A., 2013.

    Research output: Contribution to conferencePoster

  54. A model of mechanotransduction in Drosophila non-ciliated, primary endings

    Suslak, T., McKay-Fletcher, J. A., Bewick, G., Armstrong, D. & Jarman, A., 2013.

    Research output: Contribution to conferencePoster

  55. A model of non-elemental olfactory learning in Drosophila

    Wessnitzer, J., Young, J., Armstrong, D. & Webb, B., Apr 2012, In : Journal of Computational Neuroscience. 32, 2, p. 197-212 16 p.

    Research output: Contribution to journalArticle

  56. A modified spreading algorithm for autoassociation in weightless neural networks

    Browne, C., de L. Pereira Castro Jr., J. & Storkey, A., 1996, Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. von der Malsburg, C., von Seelen, W., Vorbrüggen, J. C. & Sendhoff, B. (eds.). Springer Berlin Heidelberg, p. 569-574 6 p. (Lecture Notes in Computer Science; vol. 1112).

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

  57. A multiscale model of intestinal crypts dynamics

    Graudenzi, A., Caravagna, G., De Matteis, G., Mauri, G. & Antoniotti, M., 2012, Proceedings of the Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE 2012). 13 p.

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

  58. A network view of the structure of center/surround modulations of V1 receptive field properties in visual and cortical spaces

    Seriès, P., Georges, S., Lorenceau, J. & Frégnac, Y., 1 Jun 2001, In : Neurocomputing. 38-40, p. 881-888 7 p.

    Research output: Contribution to journalArticle

  59. A new method of spike modelling and interval analysis

    MacGregor, D. J., Williams, C. K. I. & Leng, G., Jan 2009, In : Journal of Neuroscience Methods. 176, 1, p. 45-56 12 p.

    Research output: Contribution to journalArticle

  60. A new test of legibility

    Van Rossum, M., 1997, In : Quaerendo. 27, 2, p. 141-147 7 p.

    Research output: Contribution to journalArticle

  61. A non-stationary copula-based spike count model

    Onken, A., Grünewälder, S., Klaus, O., Munk, M. H. & Obermayer, K., 4 Mar 2010.

    Research output: Contribution to conferenceAbstract

  62. A novel approach to Drosophila neurophysiology: the targeted expression of aequorin

    Rosay, P., Kaiser, K. & Armstrong, J. D., 1999, Handbook of Molecular-Genetic Techniques for Brain and Behavior Research. Crusio, W. E. & Gerlai, R. T. (eds.). Elsevier, p. 487-495 9 p. (Techniques in the Behavioral and Neural Sciences).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  63. A population code for sound locations in the auditory cortex

    Razak, K., Seitz, A. R., Yarrow, S. & Series, P., Jun 2010.

    Research output: Contribution to conferencePoster

  64. A pragmatic Bayesian approach to predictive uncertainty

    Murray, I. & Snelson, E., 2006, Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Textual Entailment.: First PASCAL Machine Learning Challenges Workshop, Southampton, UK, April 11--13, 2005, Revised Selected Papers.. Quiñonero-Candela, J., Dagan, I., Magnini, B. & D'Alché-Buc, F. (eds.). Springer-Verlag GmbH, (Lecture Notes in Computer Science).

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

  65. A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription

    Sanguinetti, G., Rattray, M. & Lawrence, N. D., Jul 2006, In : Bioinformatics. 22, 14, p. 1753-1759 7 p.

    Research output: Contribution to journalArticle

  66. A regularized discriminative model for the prediction of protein–peptide interactions

    Lehrach, W. P., Husmeier, D. & Williams, C. K. I., Mar 2006, In : Bioinformatics. 22, 5, p. 532-540 9 p.

    Research output: Contribution to journalArticle

  67. A robust data-driven macro-socioeconomic-energy model

    Roberts, S. H., Axon, C. J., Goddard, N. H., Foran, B. D. & Warr, B. S., Jul 2016, In : Sustainable Production and Consumption. 7, p. 16-36 21 p.

    Research output: Contribution to journalArticle

  68. A roles for ratios? How ion channel densities could define neuronal firing properties

    Hull, M., Willshaw, D., Winlove, C. & Roberts, A., 2010.

    Research output: Contribution to conferencePoster

  69. A rule-based model of Clathrin Mediated Endocytosis: Gaining a better understanding of Parkinson's Disease

    Heil, K., Sorokina, O., Hellgren-kotaleski, J. & Armstrong, J. D., 5 Jul 2015.

    Research output: Contribution to conferencePoster

  70. A shift towards smaller cell size via manipulation of cell cycle gene expression acts to smoothen Arabidopsis leaf shape

    Kuwabara, A., Backhaus, A., Malinowski, R., Bauch, M., Hunt, L., Nagata, T., Monk, N., Sanguinetti, G. & Fleming, A., 2011, In : Plant physiology. 34 p.

    Research output: Contribution to journalArticle

  71. 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

  72. 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

  73. A strategy for building neuroanatomy ontologies.

    Osumi-Sutherland, D., Reeve, S., Mungall, C. J., Neuhaus, F., Ruttenberg, A., Jefferis, G. S. X. E. & Armstrong, J. D., 2012, In : Bioinformatics. 28, 9, p. 1262-1269 8 p.

    Research output: Contribution to journalArticle

  74. A subsystems approach for parameter estimation of ODE models of hybrid systems

    Georgoulas, A., Clark, A., Ocone, A., Gilmore, S. & Sanguinetti, G., 19 Aug 2012, In : Electronic Proceedings in Theoretical Computer Science. 92, p. 30-41 12 p.

    Research output: Contribution to journalArticle

  75. A switchable light-input, light-output system modelled and constructed in yeast

    Sorokina, O., Kapus, A., Terecskei, K., Dixon, L. E., Kozma-Bognar, L., Nagy, F. & Millar, A. J., Sep 2009, In : Journal of Biological Engineering. 3, 15, 16 p., 15.

    Research output: Contribution to journalArticle

  76. A systems biological approach to Parkinson's disease

    Heil, K. F., Sorokina, O. & Armstrong, J. D., Nov 2014.

    Research output: Contribution to conferencePoster

  77. A systems biology analysis of long and short-term memories of osmotic stress adaptation in fungi

    You, T., Ingram, P., Jacobsen, M. D., Cook, E., McDonagh, A., Thorne, T., Lenardon, M. D., De Moura, A. P., Romano, M. C., Thiel, M., Stumpf, M., Gow, N. A. R., Haynes, K., Grebogi, C., Stark, J. & Brown, A. J. P., 28 May 2012, In : BMC Research Notes. 5, 16 p., 258.

    Research output: Contribution to journalArticle

  78. A systems biology approach to Down syndrome: Identification of Notch/Wnt dysregulation in a model of stem cells aging

    Cairney, C. J., Sanguinetti, G., Ranghini, E., Chantry, A. D., Nostro, M. C., Bhattacharyya, A., Svendsen, C. N., Keith, W. N. & Bellantuono, I., 2009, In : Biochimica et biophysica acta-Molecular basis of disease. 1792, 4, p. 353 - 363 11 p.

    Research output: Contribution to journalArticle

  79. A talkative Potts attractor neural network welcomes BLISS words

    Pirmoradian, S. & Treves, A., 2012, In : BMC Neuroscience. 13, Suppl 1, p. P21

    Research output: Contribution to journalArticle

  80. A temporal model of neural activity and VSD response in V1

    Stevens, J-L. & Bednar, J., 2012.

    Research output: Contribution to conferencePoster

  81. 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

  82. A unified account of tilt illusions, association fields, and contour detection based on elastica

    Keemink, S. & van Rossum, M. C. W., Sep 2016, In : Vision Research. 126, p. 164–173 10 p.

    Research output: Contribution to journalArticle

  83. ABC-Fun: A Probabilistic Programming Language for Biology

    Georgoulas, A., Hillston, J. & Sanguinetti, G., 2013, Computational Methods in Systems Biology: 11th International Conference, CMSB 2013, Klosterneuburg, Austria, September 22-24, 2013. Proceedings. Gupta, A. & Henzinger, T. A. (eds.). Springer-Verlag GmbH, p. 150-163 14 p. (Lecture Notes in Computer Science; vol. 8130).

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

  84. Acceleration of AMPA receptor kinetics underlies temperature-dependent changes in synaptic strength at the rat calyx of Held

    Postlethwaite, M., Hennig, M. H., Steinert, J. R., Graham, B. P. & Forsythe, I. D., 2007, In : Journal of Physiology. 579, 1, p. 69-84 16 p.

    Research output: Contribution to journalArticle

  85. Accounting for probe-level noise in principal component analysis of microarray data

    Sanguinetti, G., Milo, M., Rattray, M. & Lawrence, N. D., Aug 2005, In : Bioinformatics. 21, 19, p. 3748-3754 7 p.

    Research output: Contribution to journalArticle

  86. Accurate multiplication with noisy spiking neurons

    Nezis, P. & van Rossum, M. C. W., 2011, In : Journal of Neural Engineering. 8, 3, 6 p., 034005.

    Research output: Contribution to journalArticle

  87. Acoustic trauma slows AMPAR-mediated EPSCs in the auditory brainstem, reducing GluA4 subunit expression as a mechanism to rescue binaural function

    Pilati, N., Linley, D. M., Selvaskandan, H., Uchitel, O., Hennig, M. H., Kopp-Scheinpflug, C. & Forsythe, I. D., 1 Jul 2016, In : Journal of Physiology. 594, 13, p. 3683-3703 41 p.

    Research output: Contribution to journalArticle

  88. Acquisition of visual priors and induced hallucinations in chronic schizophrenia

    Valton, V., Karvelis, P., Richards, K., Seitz, A. R., Lawrie, S. & Series, P., Aug 2019, In : Brain. 142, 8, p. 2523–2537 35 p., awz171.

    Research output: Contribution to journalArticle

  89. Activity Deprivation Reduces Miniature IPSC Amplitude by Decreasing the Number of Postsynaptic GABAA Receptors Clustered at Neocortical Synapses

    Kilman, V. L., van Rossum, M. C. W. & Turrigiano, G. G., 15 Feb 2002, In : The Journal of Neuroscience. 22, 4, p. 1328-1337 10 p.

    Research output: Contribution to journalArticle

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