Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Article › Research › Peer-reviewed
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. A modern materialist approach to abstraction, concreteness and explanation in cognition

    Shillcock, R., 19 Jun 2020, In : Behavioral and Brain Sciences. 43, e148.

    Research output: Contribution to journalArticle

  12. 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

  13. 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

  14. A new test of legibility

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

    Research output: Contribution to journalArticle

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. Activity coregulates quantal AMPA and NMDA currents at neocortical synapses

    Watt, A. J., van Rossum, M. C. W., MacLeod, K. M., Nelson, S. B. & Turrigiano, G. G., Jun 2000, In : Neuron. 26, 3, p. 659-670 12 p.

    Research output: Contribution to journalArticle

  35. Adaptation of anaerobic cultures of Escherichia coli K-12 in response to environmental trimethylamine-N-oxide

    Denby, K. J., Rolfe, M. D., Crick, E., Sanguinetti, G., Poole, R. K. & Green, J., Jul 2015, In : Environmental Microbiology. 17, 7, p. 2477-2491 15 p.

    Research output: Contribution to journalArticle

  36. Adaptive Approximate Bayesian Computation Tolerance Selection

    Simola, U., Cisewski-Kehe, J., Gutmann, M. U. & Corander, J., 7 May 2020, In : Bayesian analysis. 27 p.

    Research output: Contribution to journalArticle

  37. Adaptive integration in the visual cortex by depressing recurrent cortical circuits

    van Rossum, M. C. W., van der Meer, M., Xiao, D. K. & Oram, M. W., Jul 2008, In : Neural Computation. 20, 7, p. 1847-1872 26 p.

    Research output: Contribution to journalArticle

  38. Adaptive thresholding for reliable topological inference in single subject fMRI analysis

    Gorgolewski, K. J., Storkey, A. J., Bastin, M. E. & Pernet, C. R., 25 Aug 2012, In : Frontiers in Human Neuroscience. 6, 245.

    Research output: Contribution to journalArticle

  39. Age-dependent Homeostatic Plasticity of GABAergic Signaling in Developing Retinal Networks

    Hennig, M., Grady, J., van Coppenhagen, J. & Sernagor, E., 24 Aug 2011, In : The Journal of Neuroscience. 31, 34, p. 12159-12164 6 p.

    Research output: Contribution to journalArticle

  40. Algorithmic methods to infer the evolutionary trajectories in cancer progression

    Caravagna, G., Graudenzi, A., Ramazzotti, D., Sanz-Pamplona, R., De Sano, L., Mauri, G., Moreno, V., Antoniotti, M. & Mishra, B., 12 Jul 2016, In : Proceedings of the National Academy of Sciences. 113, 28, p. E4025-E4034 10 p.

    Research output: Contribution to journalArticle

  41. An EM Algorithm for Independent Component Analysis in the Presence of Gaussian Noise

    Zhong, M., Tang, H., Wang, H. & Tang, Y., Jan 2004, In : Neural Information Processing - Letters and Reviews. p. 11-17 7 p.

    Research output: Contribution to journalArticle

  42. An Introduction to Conditional Random Fields

    Sutton, C. & McCallum, A., 2012, In : Foundations and Trends in Machine Learning. 4, 4, p. 267-373 109 p.

    Research output: Contribution to journalArticle

  43. An anatomically-unbiased approach for analysis of renal BOLD magnetic resonance images

    Menzies, R., Zammit-Mangion, A., Hollis, L. M., Lennen, R. J., Jansen, M. A., Webb, D. J., Mullins, J. J., Dear, J., Sanguinetti, G. & Bailey, M. A., 17 Jul 2013, In : American Journal of Physiology-Renal Physiology. 305, p. F845-F852 n/a.

    Research output: Contribution to journalArticle

  44. An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook

    Stevens, J-L., Elver, M. & Bednar, J. A., 2013, In : Frontiers in Neuroinformatics. 7

    Research output: Contribution to journalArticle

  45. Analysis of a genetic-metabolic oscillator with piecewise linear models

    Chaves, M., Oyarzun, D. & Gouze, J-L., 7 Feb 2019, In : Journal of Theoretical Biology. 462, p. 259-269 11 p.

    Research output: Contribution to journalArticle

  46. Analysis of compound heterozygotes reveals that the mouse floxed Pax6 tm1Ued allele produces abnormal eye phenotypes

    Dorà, N. J., Crookshanks, A. J. F., Leung, K. K. Y., Simpson, T., Mason, J., Price, D. & West, J., 30 May 2016, In : Transgenic Research. p. 1-14 14 p.

    Research output: Contribution to journalArticle

  47. Analysis of individual mouse activity in group housed animals of different inbred strains using a novel automated home cage analysis system.

    Bains, R. S., Cater, H. L., Sillito, R. R., Chartsias, A., Sneddon, D., Concas, D., Keskivali-Bond, P., Lukins, T. C., Wells, S., Acevedo Arozena, A., Nolan, P. M. & Armstrong, J. D., 10 Jun 2016, In : Frontiers in behavioral neuroscience. 10, 106, 22 p.

    Research output: Contribution to journalArticle

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

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

    Research output: Contribution to journalArticle

  49. Analysis of mouse EphA knockins and knockouts suggests that retinal axons programme target cells to form ordered retinotopic maps

    Willshaw, D., 2006, In : Development. 133, 14, p. 2705-2717 13 p.

    Research output: Contribution to journalArticle

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