Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 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

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

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

    Research output: Contribution to conferencePoster

  3. 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

  4. 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

  5. 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

  6. Abstract Decoding using Bayesian Muscle Activation Estimators

    Dyson, M. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 2112-2115 4 p.

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

  7. Abstract Myoelectric Control with an Arduino-based System

    Wu, H., Dupan, S. & Nazarpour, K., 23 Jul 2020, MEC20 Symposium Proceedings. p. 167-170 4 p.

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

  8. Abstract and proportional myoelectric control for multi-fingered hand prostheses

    Pistohl, T., Cipriani, C., Jackson, A. & Nazarpour, K., 1 Dec 2013, In : Annals of Biomedical Engineering. 41, 12, p. 2687–2698 12 p.

    Research output: Contribution to journalArticle

  9. Abstract myoelectric control with EMG drive estimated using linear, kurtosis and Bayesian filtering

    Dyson, M., Barnes, J. & Nazarpour, K., 15 Aug 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). Institute of Electrical and Electronics Engineers (IEEE), p. 54-57 4 p.

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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. Action myoelectric control for advanced hand prostheses via multi-label classification

    Krasoulis, A. & Nazarpour, K., 23 Jul 2020, MEC20 Symposium Proceedings. p. 79-82 4 p.

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

  16. 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

  17. 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

  18. Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation

    Lopez Guevara, T., Gutmann, M., Ramamoorthy, S., taylor, N. & Subr, K., 31 Oct 2017, The 1st Annual Conference on Robot Learning (CoRL 2017). Zurich, Switzerland, Vol. 78. p. 77-86 10 p. (Proceedings of Machine Learning Research; vol. 78).

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

  19. 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

  20. Adapting proportional myoelectric-controlled interfaces for prosthetic hands

    Pistohl, T., Cipriani, C., Jackson, A. & Nazarpour, K., 26 Sep 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 6195-6198 4 p.

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

  21. 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

  22. Adaptive Gaussian Copula ABC

    Chen, Y. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 1584-1592 14 p. (Proceedings of Machine Learning Research; vol. 89).

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

  23. Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems

    Zhu, Z. & Storkey, A., 2015, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I. Appice, A., Rodrigues, P. P., Santos Costa, V., Soares, C., Gama, J. & Jorge, A. (eds.). Springer International Publishing, p. 645-658 14 p. (Lecture Notes in Computer Science; vol. 9284).

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

  24. Adaptive elastic models for hand-printed character recognition

    Hinton, G. E., Williams, C. K. I. & Revow, M. D., 1991, Advances in Neural Information Processing Systems 4 (NIPS 1991). MIT Press, p. 512-519 8 p.

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

  25. 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

  26. 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

  27. Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields

    Cornford, D., Nabney, I. T. & Williams, C. K. I., 1998, Advances in Neural Information Processing Systems 11 (NIPS 1998). p. 861-867 7 p.

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

  28. Advances in electroencephalography signal processing

    Sanei, S., Ferdowsi, S., Nazarpour, K. & Cichocki, A., 1 Jan 2013, In : IEEE Signal Processing Magazine. 30, 1, p. 170 - 176 7 p.

    Research output: Contribution to journalArticle

  29. 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

  30. Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets

    Storkey, A. J., Zhu, Z. & Hu, J., 2015, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I. Appice, A., Rodrigues, P. P., Santos Costa, V., Soares, C., Gama, J. & Jorge, A. (eds.). Springer International Publishing, p. 560-574 15 p. (Lecture Notes in Computer Science; vol. 9284).

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

  31. 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 (PNAS). 113, 28, p. E4025-E4034 10 p.

    Research output: Contribution to journalArticle

  32. Amortized Inference for Latent Feature Models Using Variational Russian Roulette

    Xu, K., Srivastava, A. & Sutton, C., 2018. 11 p.

    Research output: Contribution to conferencePaper

  33. 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

  34. An Experimental Research Design for Evaluating Energy Feedback

    Pullinger, M., Goddard, N. & Webb, J., 9 Sep 2016, The 4th European Conference on Behaviour and Energy Efficiency (Behave 2016). 12 p.

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

  35. 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

  36. An Introduction to Conditional Random Fields for Relational Learning

    Sutton, C. & McCallum, A., 2007, Introduction to Statistical Relational Learning. MIT Press, p. 93-128 36 p.

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

  37. An Investigation of Coupled Energy and Particle Transport

    Bishop, C. M., Connor, J. W., Cox, M., Deliyankis, N. & Robinson, D. C., 1994, Proceedings 17th European Physical Society on Controlled Fusion and Plasma Heating,. Vol. 1. p. 178-178 178 p.

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

  38. An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression

    Qazaz, C. S., Williams, C. K. I. & Bishop, C. M., 1997, Mathematics of Neural Networks: Models, Algorithms and Applications. Norwell, MA, USA: Springer US, p. 295-299 5 p. (Operations Research/Computer Science Interfaces Series; vol. 8).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  39. An adaptive source-channel coding with feedback for progressive transmission of medical images

    Lu, J-L., Sanei, S. & Nazarpour, K., 26 Jan 2009, In : International Journal of Telemedicine and Applications. 2009, 12 p., 519417.

    Research output: Contribution to journalArticle

  40. An analytic characterization of a stabilizing feedback for LTI plants

    Peters, A. A., Oyarzun, D. A., Silva, E. I. & Salgado, M. E., 2 Apr 2015, 2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers (IEEE), p. 231-235 5 p. 7074409

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

  41. An analytical method of assessment of RemoteFX as a cloud gaming platform

    Depasquale, E., Zammit, A., Camilleri, M., Zammit, S., Muscat, A., Mallia, P. & Scerri, S., 26 May 2014, MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference. Institute of Electrical and Electronics Engineers (IEEE), p. 127-133 7 p.

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

  42. 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

  43. 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

  44. An elastic net-regularized HMAX model of visual processing

    Alameer, A., Ghazaei, G., Degenaar, P. & Nazarpour, K., 2 Dec 2015, 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). IET, p. 1-4 4 p.

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

  45. An exploratory study on the use of convolutional neural networks for object grasp classification

    Ghazaei, G., Alameer, A., Degenaar, P., Morgan, G. & Nazarpour, K., 2 Dec 2015, 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). IET, p. 1-5 5 p.

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

  46. An isotropic Gaussian mixture can have more modes than components

    Carreira-Perpinan, M. & Williams, C. K. I., 1 Dec 2003.

    Research output: Working paper

  47. Analysis of Multiplexed Neural Codes Using the Laplacian Pyramid Decomposition

    Molano-Mazon, M., Onken, A., Safaai, H. & Panzeri, S., 15 Sep 2015. 1 p.

    Research output: Contribution to conferenceAbstract

  48. Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification

    Breier, B. & Onken, A., 30 Apr 2020, Proceedings of the International Conference on Learning Representations, 2020. Addis Ababa, Ethiopia, p. 1-18 18 p.

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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. Analysis of proteins in computational models of synaptic plasticity

    Heil, K. F., Wysocka, E., Sorokina, O., Hellgren Kotaleski, J., Simpson, T. I., Armstrong, J. D. & Sterratt, D. C., 28 Jan 2018, bioRxiv, at Cold Spring Harbor Laboratory, 53 p.

    Research output: Working paper

  55. Analysis of simultaneous multielectrode recordings with 4,096 channels: changing dynamics of spontaneous activity in the developing retina

    Hennig, M., Maccione, A., Gandolfo, M., Down, M., Eglen, S., Berdondini, L. & Sernagor, E., 2011, In : BMC Neuroscience. 12, Supplement 1, 2 p., P296.

    Research output: Contribution to journalMeeting abstract

  56. 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

  57. 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

  58. 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

  59. Analytic computation of the integrated response in nonlinear reaction-diffusion systems

    López-Caamal, F., García, M. R., Oyarzún, D. A. & Middleton, R. H., 1 Dec 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC). p. 1047-1052 6 p.

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

  60. Analytics of Learning Strategies: Role of Course Design and Delivery Modality Authors

    Matcha, W., Gasevic, D., Ahmad Uzir, NA., Jovanovic, J., Pardo, A., Lim, L., Maldonado-Mahauad, J., Gentili, S., Pérez-Sanagustín, M. & Tsai, Y-S., 19 Sep 2020, In : Journal of Learning Analytics. 7, 2, p. 45-71 26 p.

    Research output: Contribution to journalArticle

  61. 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

  62. Anatomically unbiased analysis of renal BOLD magnetic resonance images reveals disruption of corticomedullary gradient during chronic angiotensin II infusion

    Menzies, R., Zammit-Mangion, A., Hollis, L. M., Lennen, R. J., Jansen, M., Webb, D., Mullins, J., Dear, J., Sanguinetti, G. & Bailey, M., Apr 2013, In : The FASEB Journal. 27, p. 910 1 p.

    Research output: Contribution to journalMeeting abstract

  63. 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

  64. 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

  65. 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

  66. Application of higher order statistics to surface electromyogram signal classification

    Nazarpour, K., Sharafat, A. R. & Firoozabadi, S. M. P., 1 Oct 2007, In : IEEE Transactions on Biomedical Engineering. 54, 10, p. 1762 - 1769 8 p.

    Research output: Contribution to journalArticle

  67. Approximate Inference in Latent Diffusion Processes from Continuous Time Observations

    Cseke, B., Opper, M. & Sanguinetti, G., 2013, Advances in Neural Information Processing Systems 26 (NIPS 2013). Vol. 26. 9 p.

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

  68. Approximate inference in continuous time Gaussian-Jump processes

    Opper, M., Ruttor, A. & Sanguinetti, G., 2010, Advances in Neural Information Processing Systems 23. Lafferty, J. D., Williams, C. K. I., Shawe-Taylor, J., Zemel, R. S. & Culotta, A. (eds.). p. 1831-1839 9 p.

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

  69. Approximate inference in latent Gaussian-Markov models from continuous time observations

    Cseke, B., Opper, M. & Sanguinetti, G., 2013, Advances in Neural Information Processing Systems 26. Curran Associates Inc, p. 971 979 p.

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

  70. 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

  71. 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

  72. Approximation methods for gaussian process regression

    Quiñonero-Candela, J., Rasmussen, C. E. & Williams, C. K. I., Aug 2007, Large-Scale Kernel Machines. Bottou, L., Chapelle, O., DeCoste, D. & Weston, J. (eds.). MIT Press, 24 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  73. 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

  74. 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

  75. 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

  76. 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

  77. Artificial proprioception for myoelectric control

    Pistohl, T., Jackson, A., Gowrishankar, G., Joshi, D. & Nazarpour, K., 26 Sep 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 1595-1598 4 p.

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

  78. Artificial proprioceptive feedback for myoelectric control

    Pistohl, T., Joshi, D., Ganesh, G., Jackson, A. & Nazarpour, K., 1 May 2015, In : IEEE Transactions on Neural Systems and Rehabilitation Engineering. 23, 3, p. 498 - 507 10 p.

    Research output: Contribution to journalArticle

  79. 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

  80. 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

  81. Associating What and Where Using Temporal Cues

    Goddard, N. H., 1993, Proceedings of the 15th Annual Conference of the Cognitive Science Society. Vol. 15.

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

  82. Associative latching dynamics vs. syntax

    Russo, E., Pirmoradian, S. & Treves, A., 2011, Advances in Cognitive Neurodynamics (II): Proceedings of the Second International Conference on Cognitive Neurodynamics - 2009. Springer Netherlands, p. 111-115 5 p.

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

  83. Asymptotically exact inference in differentiable generative models

    Graham, M. & Storkey, A., 22 Apr 2017, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017. PMLR, p. 499-508 10 p. (Proceedings of Machine Learning Research; vol. 54).

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

  84. 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

  85. 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

  86. Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks

    Antoniou, A., Storkey, A. & Edwards, H., 27 Sep 2018, Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece, p. 594-603 10 p. (Lecture Notes in Computer Science; vol. 11141).

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

  87. Author Disambiguation: A Nonparametric Topic and Co-authorship Model

    Dai, A. M. & Storkey, A. J., 2009, Proceedings of NIPS Workshop on Applications for Topic Models Text and Beyond. 4 p.

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

  88. 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

  89. Autoencoding Variational Inference for Topic Models

    Srivastava, A. & Sutton, C., 26 Apr 2017, Proceedings for the 5th International Conference on Learning Representations. 12 p.

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

  90. 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

  91. Automated assessment of tract similarity in group diffusion MRI data

    Clayden, J. D., Bastin, M. & Storkey, A., 2006, Proceedings of the ISMRM, 14th Scientific Meeting Exhibition, Seattle.

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

  92. 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

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