Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Article › Research › Peer-reviewed
  2. Analysis of the Bacterial Response to Ru(CO) 3 Cl(Glycinate) (CORM-3) and the Inactivated Compound Identifies the Role Played by the Ruthenium Compound and Reveals Sulfur-Containing Species as a Major Target of CORM-3 Action .

    Mclean, S., Begg, R., Jesse, H. E., Mann, B. E., Sanguinetti, G. & Poole, R. K., 10 Dec 2013, In : Antioxidants and Redox Signaling. 19, 17, p. 1999-2012 14 p.

    Research output: Contribution to journalArticle

  3. Analysis of the expression patterns, subcellular localisations and interaction partners of Drosophila proteins using a pigP protein trap library

    Lowe, N., Rees, J. S., Roote, J., Ryder, E., Armean, I. M., Johnson, G., Drummond, E., Spriggs, H., Drummond, J., Magbanua, J. P., Naylor, H., Sanson, B., Bastock, R., Huelsmann, S., Trovisco, V., Landgraf, M., Knowles-Barley, S., Armstrong, J. D., White-Cooper, H., Hansen, C. & 5 others, Phillips, R. G., The UK Drosophila Protein Trap Screening Consortium, Lilley, K. S., Russell, S. & St Johnston, D., 2014, In : Development. 141, 20, p. 3994-4005 12 p.

    Research output: Contribution to journalArticle

  4. Analysis of transcript changes in a heme-deficient mutant of Escherichia coli in response to CORM-3 [Ru(CO)3Cl(glycinate)]

    Wilson, J. L., Mclean, S., Begg, R., Sanguinetti, G. & Poole, R. K., 1 Sep 2015, In : Genomics Data. 5, p. 231-234 4 p.

    Research output: Contribution to journalArticle

  5. Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation

    Onken, A., Grünewälder, S., Munk, M. H. J. & Obermayer, K., 26 Nov 2009, In : PLoS Computational Biology. 5, 11, p. 1-13 13 p., e1000577.

    Research output: Contribution to journalArticle

  6. Angiogenesis in the human corpus luteum: localization and changes in angiopoietins, tie-2, and vascular endothelial growth factor messenger ribonucleic acid

    Wulff, C., Wilson, H., Largue, P., Duncan, W. C., Armstrong, D. G. & Fraser, H. M., Nov 2000, In : Journal of Clinical Endocrinology & Metabolism. 85, 11, p. 4302-9 8 p.

    Research output: Contribution to journalArticle

  7. Animacy effects on the production of object-dislocated descriptions by Catalan-speaking children

    Prat-Sala, M., Shillcock, R. & Sorace, A., Feb 2000, In : Journal of Child Language. 27, 1, p. 97-117 21 p.

    Research output: Contribution to journalArticle

  8. Anticipation in the Rodent Head Direction System Can Be Explained by an Interaction of Head Movements and Vestibular Firing Properties

    van der Meer, M., Knierim, J. J., Yoganarasimha, D., Wood, E. R. & van Rossum, M. C. W., Oct 2007, In : Journal of Neurophysiology. 98, 4, p. 1883-1897 15 p.

    Research output: Contribution to journalArticle

  9. Approximate inference of the bandwidth in multivariate kernel density estimation

    Filippone, M. & Sanguinetti, G., 2011, In : Computational statistics & data analysis. 55, 12, p. 3104 - 3122 19 p.

    Research output: Contribution to journalArticle

  10. Approximation and inference methods for stochastic biochemical kinetics - a tutorial review

    Schnoerr, D., Sanguinetti, G. & Grima, R., 25 Jan 2017, In : Journal of Physics A: Mathematical and Theoretical. 093001.

    Research output: Contribution to journalArticle

  11. Aralar Sequesters GABA into Hyperactive Mitochondria, Causing Social Behavior Deficits

    Kanellopoulos, A. K., Mariano, V., Spinazzi, M., Woo, Y. J., McLean, C., Pech, U., Li, K. W., Armstrong, J. D., Giangrande, A., Callaerts, P., Smit, A. B., Abrahams, B. S., Fiala, A., Achsel, T. & Bagni, C., 19 Mar 2020, In : Cell. 180, 6, p. 1178 - 1197 41 p., e20.

    Research output: Contribution to journalArticle

  12. Arc requires PSD95 for assembly into postsynaptic complexes involved with brain disease and intelligence

    Fernandez, E., Collins, M. O., Frank, R. A. W., Zhu, F., Kopanitsa, M. V., Nithianantharajah, J., Lempriere, S., Fricker, D. G., Elsegood, K. A., McLaughlin, C., Croning, M. D. R., McLean, C., Armstrong, J. D., Hill, W. D., Deary, I., Cencelli, G., Bagni, C., Fromer, M., Purcell, S. M., Pocklington, A. J. & 3 others, Choudhary, J. S., Komiyama, N. & Grant, S., 17 Oct 2017, In : Cell Reports. 21, 3, p. 679-691

    Research output: Contribution to journalArticle

  13. Archetypal Analysis for Nominal Observations

    Seth, S. & Eugster, M., 19 Aug 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 5, p. 849-861 14 p.

    Research output: Contribution to journalArticle

  14. Are We There Yet? How and When Specific Biotechnologies Will Improve Human Health

    O'Day, E., Hosta‐Rigau, L., Oyarzun, D., Okano, H., de Lorenzo, V., von Kameke, C., Alsafar, H., Cao, C., Chen, G-Q., Ji, W., Roberts, R. J., Ronaghi, M., Yeung, K., Zhang, F. & Lee, S. Y., 10 Jan 2019, In : Biotechnology Journal. 14, 1, p. 1-11 11 p.

    Research output: Contribution to journalArticle

  15. Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools

    Bains, R. S., Sillito, R. R., Armstrong, J. D., Cater, H. L., Banks, G. & Nolan, P. M., 26 Apr 2017, In : Journal of Neuroscience Methods. 32 p.

    Research output: Contribution to journalArticle

  16. Assessing the validity of a learning analytics expectation instrument: A multinational study

    Whitelock-Wainwright, A., Gasevic, D., Tsai, Y-S., Drachsler, H., Scheffel, M., Muñoz-Merino, P., Tammets, K. & Delgado Kloos, C., 30 Apr 2020, In : Journal of Computer Assisted Learning. 36, 2, p. 209-240 32 p.

    Research output: Contribution to journalArticle

  17. Asynchronous inputs and NMDA conductances predict excitatory responses in the cortical-cA1 pathway of the hippocampus

    Longden, K. D. & Willshaw, D. J., 2007, In : Network: Computation in Neural Systems. 18, 4, p. 299-325 27 p.

    Research output: Contribution to journalArticle

  18. Attention as Reward-Driven Optimization of Sensory Processing: Neural Computation

    Chalk, M., Murray, I. & Seriés, P., 18 Jun 2013, In : Neural Computation. 25, 11, p. 2904-2933 30 p.

    Research output: Contribution to journalArticle

  19. Autistic traits, but not schizotypy, predict increased weighting of sensory information in Bayesian visual integration

    Karvelis, P., Seitz, A. R., Lawrie, S. & Series, P., 14 May 2018, In : eLIFE. 44 p.

    Research output: Contribution to journalArticle

  20. Autofolding for Source Code Summarization

    Fowkes, J., Chanthirasegaran, P., Ranca, R., Allamanis, M., Lapata, M. & Sutton, C., 6 Feb 2017, In : IEEE Transactions on Software Engineering. 1 p.

    Research output: Contribution to journalArticle

  21. Automated extraction of meaningful pathways from quantitative proteomics data

    Noirel, J., Ow, S. Y., Sanguinetti, G., Jaramillo, A. & Wright, P. C., Mar 2008, In : Briefings in functional genomics & proteomics. 7, 2, p. 136-146 11 p.

    Research output: Contribution to journalArticle

  22. Automated recording of home cage activity and temperature of individual rats housed in social groups: The Rodent Big Brother project

    Redfern, W. S., Tse, K., Grant, C., Keerie, A., Simpson, D. J., Pedersen, J. C., Rimmer, V., Leslie, L., Klein, S. K., Karp, N. A., Sillito, R., Chartsias, A., Lukins, T., Heward, J., Vickers, C., Chapman, K., Armstrong, J. D. & Homberg, J. (ed.), 6 Sep 2017, In : PLoS ONE. 12, 9, p. 1-26 26 p., e0181068.

    Research output: Contribution to journalArticle

  23. Autoregressive Hidden Markov Models for the Early Detection of Neonatal Sepsis

    Stanculescu, I., Williams, C. K. I. & Freer, Y., 1 Sep 2014, In : IEEE Journal of Biomedical and Health Informatics. 18, 5, p. 1560-1570 11 p.

    Research output: Contribution to journalArticle

  24. Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations

    Rule, M. & Sanguinetti, G., 27 Aug 2018, In : Neural Computation. 34 p.

    Research output: Contribution to journalArticle

  25. BLISS: an artificial language for learnability studies

    Pirmoradian, S. & Treves, A., 20 Oct 2011, In : Cognitive Computation. 3, 4, p. 539-553 15 p.

    Research output: Contribution to journalArticle

  26. BPRMeth: a flexible Bioconductor package for modelling methylation profiles

    Kapourani, C-A. & Sanguinetti, G., 15 Jul 2018, In : Bioinformatics. 34, 14, p. 2485-2486 2 p.

    Research output: Contribution to journalArticle

  27. BRIE: transcriptome-wide splicing quantication in single cells

    Huang, Y. & Sanguinetti, G., 27 Jun 2017, In : Genome Biology. 18, 123, p. 1-11 11 p.

    Research output: Contribution to journalArticle

  28. Ballooning Delta-prime in the Second Stable Region

    Bishop, C. M., Hastie, R. J., Sykes, A. & Wilson, H. R., 1 Jan 1990, In : Physics of Fluids B. 2, p. 3052-3053 2 p.

    Research output: Contribution to journalArticle

  29. Basic Integrated Modelling: A Case Study

    Salgado, M. E. & Oyarzún, D. R., 1 Jul 2006, In : International Journal of Electrical Engineering Education. 43, 3, p. 217-231 15 p.

    Research output: Contribution to journalArticle

  30. Bat detective - Deep learning tools for bat acoustic signal detection

    Mac Aodha, O., Gibb, R., Barlow, K. E., Browning, E., Firman, M., Freeman, R., Harder, B., Kinsey, L., Mead, G. R., Newson, S. E., Pandourski, I., Parsons, S., Russ, J., Szodoray-Paradi, A., Szodoray-Paradi, F., Tilova, E., Girolami, M., Brostow, G. & Jones, K. E., 8 Mar 2018, In : PLoS Computational Biology. 14, 3, p. 1-19 19 p.

    Research output: Contribution to journalArticle

  31. Bayesian Classification with Gaussian Processes

    Williams, C. K. I. & Barber, D., Dec 1998, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 20, 12, p. 1342-1351 10 p.

    Research output: Contribution to journalArticle

  32. Bayesian Inference of Atomistic Structure in Functional Materials

    Todorovic, M., Gutmann, M., Corander, J. & Rinke, P., 18 Mar 2019, In : npj Computational Materials. 5, 7 p., 35.

    Research output: Contribution to journalArticle

  33. Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Environmental Associates

    Custovic, A., Simpson, A., Belgrave, D., Buchan, I. & Bishop, C., 2012, In : Quaderni di statistica. 14, 14, 4 p.

    Research output: Contribution to journalArticle

  34. Bayesian Multitask Classification With Gaussian Process Priors

    Skolidis, G. & Sanguinetti, G., 1 Dec 2011, In : IEEE Transactions on Neural Networks. 22, 12, p. 2011-2021 11 p.

    Research output: Contribution to journalArticle

  35. Bayesian Neural Networks

    Bishop, C. M., Jul 1997, In : The Journal of the Brazilian Computer Society. 4, 1, p. 61–68 8 p.

    Research output: Contribution to journalArticle

  36. Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models

    Gutmann, M. U. & Corander, J., 2016, In : Journal of Machine Learning Research. 17, 125, p. 1-47 47 p.

    Research output: Contribution to journalArticle

  37. Bayesian inference for queueing networks and modeling of internet services

    Sutton, C. & Jordan, M. I., 2011, In : Annals of Applied Statistics. 5, 1, p. 254-282 29 p.

    Research output: Contribution to journalArticle

  38. Bayesian inference for wind field retrieval

    Nabney, I. T., Cornford, D. & Williams, C. K. I., Jan 2000, In : Neurocomputing. 30, 1–4, p. 3-11 9 p.

    Research output: Contribution to journalArticle

  39. Bayesian inference of physiologically meaningful parameters from body sway measurements

    Tietäväinen, A., Gutmann, M. U., Keski-Vakkuri, E., Corander, J. & Hæggström, E., 19 Jun 2017, In : Scientific Reports. 7, 1, p. 1-14 14 p., 3771.

    Research output: Contribution to journalArticle

  40. Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit

    Žurauskiene, J., Kirk, P., Thorne, T. & Stumpf, M. P. H., 1 Aug 2014, In : Physica a-Statistical mechanics and its applications. 407, p. 33-42 10 p.

    Research output: Contribution to journalArticle

  41. Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex

    Pakan, J. M., Lowe, S. C., Dylda, E., Keemink, S., Currie, S. P., Coutts, C. A. & Rochefort, N. L., 23 Aug 2016, In : eLIFE. 5

    Research output: Contribution to journalArticle

  42. Benchmarking infrastructure for mutation text mining

    Klein, A., Riazanov, A., Hindle, M. M. & Baker, C. J. O., 25 Feb 2014, In : Journal of Biomedical Semantics. 5, 11, p. 1-13 13 p.

    Research output: Contribution to journalArticle

  43. Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game

    Colombo, M., Stankevicius, A. & Seriés, P., Oct 2014, In : Frontiers in Psychology. 5, 9 p., 1154.

    Research output: Contribution to journalArticle

  44. Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study

    Simpson, A., Tan, V. Y. F., Winn, J., Svensén, M., Bishop, C. M., Heckerman, D. E., Buchan, I. & Custovic, A., Jun 2010, In : American Journal of Respiratory and Critical Care Medicine. 181, 11, p. 1200-1206 7 p.

    Research output: Contribution to journalArticle

  45. Binocular fixations: What happens when each eye looks at a different word?

    Kreiner, H. & Shillcock, R., Sep 2008, In : International Journal of Psychology. 43, 3-4, p. 47-47 1 p.

    Research output: Contribution to journalArticle

  46. Binocular foveation in reading

    Shillcock, R., Roberts, M., Kreiner, H. & Obregon-Sargent, M., Nov 2010, In : Attention, Perception & Psychophysics. 72, 8, p. 2184-2203 20 p.

    Research output: Contribution to journalArticle

  47. Bio-PEPAd: A non-Markovian extension of Bio-PEPA

    Caravagna, G. & Hillston, J., 2012, In : Theoretical Computer Science. 419, p. 26-49 24 p.

    Research output: Contribution to journalArticle

  48. Bio::Homology::InterologWalk - A Perl module to build putative protein-protein interaction networks through interolog mapping

    Gallone, G., Simpson, T. I., Armstrong, J. D. & Jarman, A. P., Jul 2011, In : BMC Bioinformatics. 12, July, 15 p., 289.

    Research output: Contribution to journalArticle

  49. Biologically inspired EM image alignment and neural reconstruction

    Knowles-Barley, S., Butcher, N. J., Meinertzhagen, I. A. & Armstrong, J. D., 2011, In : Bioinformatics. 27, 16, p. 2216-2223 8 p.

    Research output: Contribution to journalArticle

  50. Blind source separation for fmri signals using spatial independent component analysis

    Zhong, M., Tang, H. & Tang, Y., Dec 2002, In : ACTA Biophysica Sinica. 19, 1, p. 79-83 5 p.

    Research output: Contribution to journalArticle

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