Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2018
  2. Deep multimodal autoencoders for identifying latent representations of spike counts and local field potentials

    Onken, A., Yague, J. & Sakata, S., 27 Sep 2018.

    Research output: Contribution to conferencePoster

  3. Mixed-species RNA-seq for elucidating non-cell-autonomous control of gene transcription

    Qiu, J., Dando, O., Baxter, P., Hasel, P., Heron, S., Simpson, T. & Hardingham, G., 24 Sep 2018, In : Nature Protocols. 26 p.

    Research output: Contribution to journalArticle

  4. Efficient acquisition rules for model-based approximate Bayesian computation

    Järvenpää, M., Gutmann, M., Pleska, A., Vehtari, A. & Marttinen, P., 18 Sep 2018, In : Bayesian analysis. 28 p.

    Research output: Contribution to journalArticle

  5. Major Depression Impairs the Use of Reward Values for Decision-Making

    Rupprechter, S., Stankevicius, A., Huys, Q. J. M., Steele, J. D. & Series, P., 14 Sep 2018, In : Scientific Reports. 9 p., 13798 (2018) .

    Research output: Contribution to journalArticle

  6. It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data

    Ruggero Ronchi, M., Mac Aodha, O., Eng, R. & Perona, P., 2 Sep 2018, p. 1-13. 13 p.

    Research output: Contribution to conferencePaper

  7. Near-Optimal Machine Teaching via Explanatory Teaching Sets

    Chen, Y., Mac Aodha, O., Su, S., Perona, P. & Yue, Y., 1 Sep 2018, Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. Storkey, A. & Perez-Cruz, F. (eds.). Playa Blanca, Lanzarote, Canary Islands: PMLR, Vol. 84. p. 1970-1978 9 p. (Proceedings of Machine Learning Research).

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

  8. Development of the ASHRAE Global Thermal Comfort Database II

    Földváry, V., Cheung, T., Zhang, H., de Dear, R., Parkinson, T., Arens, E., Chun, C., Schiavon, S., Luo, M., Brager, G., Li, P., Kaam, S., Adebamowo, M. A., Andamon, M. M., Babich, F., Bouden, C., Bukovianska, H., Candido, C., Cao, B., Carlucci, S. & 44 others, Cheong, D. K. W., Choi, J-H., Cook, M., Cropper, P., Deuble, M., Heidari, S., Indraganti, M., Jin, Q., Kim, H., Kim, J., Konis, K., Singh, M. K., Kwok, A., Lamberts, R., Loveday, D., Langevin, J., Manu, S., Moosmann, C., Nicol, F., Ooka, R., Oseland, N. A., Pagliano, L., Petráš, D., Rawal, R., Romero, R., Sekhar, C., Schweiker, M., Tartarini, F., Tanabe, S., Tham, K. W., Teli, D., Toftum, J., Toledo, L., Tsuzuki, K., De Vecchi, R., Wagner, A., Wang, Z., Wallbaum, H., Webb, L., Yang, L., Zhu, Y., Zhai, Y., Zhang, Y. & Zhou, X., Sep 2018, In : Building and Environment. 142, p. 502-512 11 p.

    Research output: Contribution to journalArticle

  9. Detecting repeated cancer evolution from multi-region tumor sequencing data

    Caravagna, G., Giarratano, Y., Ramazzotti, D., Tomlinson, I., Graham, T. A., Sanguinetti, G. & Sottoriva, A., 31 Aug 2018, In : Nature Methods. 15, p. 707-714 8 p.

    Research output: Contribution to journalArticle

  10. 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

  11. Flux-dependent graphs for metabolic networks

    Beguerisse-Díaz, M., Bosque, G., Oyarzún, D., Picó, J. & Barahona, M., 14 Aug 2018, In : npj Systems Biology and Applications. 4, 1, 14 p., 32.

    Research output: Contribution to journalArticle

  12. Regional Diversity in the Postsynaptic Proteome of the Mouse Brain

    Roy, M., Sorokina, O., McLean, C., Tapia-González, S., DeFelipe, J., Armstrong, J. D. & Grant, S., 1 Aug 2018, In : Proteomes. 6, 3, 18 p.

    Research output: Contribution to journalArticle

  13. 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

  14. Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling

    Sutton, C., Hobson, T., Geddes, J. & Caruana, R., 19 Jul 2018, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. London, United Kingdom: ACM, p. 2279-2288 10 p.

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

  15. HuD is a neural translation enhancer acting on mTORC1-responsive genes and counteracted by the Y3 small non-coding RNA

    Tebaldi, T., Zuccotti, P., Peroni, D., Köhn, M., Gasperini, L., Potrich, V., Bonazza, V., Dudnakova, T., Rossi, A., Sanguinetti, G., Conti, L., Macchi, P., D'Agostino, V., Viero, G., Tollervey, D., Hüttelmaier, S. & Quattrone, A., 19 Jul 2018, In : Molecular Cell. 71, 2, p. 256-270 26 p.

    Research output: Contribution to journalArticle

  16. 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

  17. Conditional Noise-Contrastive Estimation of Unnormalised Models

    Ceylan, C. & Gutmann, M., 15 Jul 2018, Proceedings of 35th International Conference on Machine Learning (ICML 2018). Dy, J. & Krause, A. (eds.). Stockholmsmässan, Stockholm Sweden: PMLR, Vol. 80. p. 725-733 9 p.

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

  18. Dynamic metabolic control: towards precision engineering of metabolism

    Liu, D., Mannan, A. A., Han, Y., Oyarzun, D. & Zhang, F., 1 Jul 2018, In : Journal of Industrial Microbiology & Biotechnology. 45, 7, p. 535-543 9 p.

    Research output: Contribution to journalArticle

  19. Mining Semantic Loop Idioms

    Allamanis, M., Barr, E. T., Bird, C., Devanbu, P., Marron, M. & Sutton, C., 1 Jul 2018, In : IEEE Transactions on Software Engineering. 44, 7, 18 p.

    Research output: Contribution to journalArticle

  20. Consequences of selecting technology pathways on cumulative carbon dioxide emissions for the United Kingdom Applied Energy

    Roberts, S. H., Foran, B. D., Axon, C. J., Warr, B. S. & Goddard, N., 28 Jun 2018, In : Applied energy. 228, p. 409-425 17 p.

    Research output: Contribution to journalArticle

  21. ELFI: Engine for Likelihood-Free Inference

    Lintusaari, J., Vuollekoski, H., Kangasrääsiö, A., Skyten, K., Järvenpää, M., Marttinen, P., Gutmann, M., Vehtari, A., Corander, J. & Kaski, S., 20 Jun 2018, (Accepted/In press) In : Journal of Machine Learning Research. 8 p.

    Research output: Contribution to journalArticle

  22. Monitoring brain activity and behaviour in freely moving Drosophila larvae using bioluminescence

    Marescotti, M., Lagogiannis, K., Webb, B., Davies, R. W. & Armstrong, J. D., 18 Jun 2018, In : Scientific Reports. 8, 1, 10 p., 9246.

    Research output: Contribution to journalArticle

  23. Neurons That Update Representations of the Future

    Seriès, P., 11 Jun 2018, In : Trends in Cognitive Sciences. 2 p.

    Research output: Contribution to journalArticle

  24. Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts

    Louis, A. & Sutton, C., 6 Jun 2018, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. New Orleans, Louisiana : Association for Computational Linguistics, p. 708-713 6 p.

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

  25. 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

  26. The Broad-Spectrum Antimicrobial Potential of [Mn(CO)4S2CNMe(CH2CO2H)], a Water-Soluble CO-Releasing Molecule (CORM-401): Intracellular Accumulation, Transcriptomic and Statistical Analyses, and Membrane Polarization

    Wareham, L., McLean, S., Beqq, R., Rana, N., Ali, S., Kendall, J., Sanguinetti, G., Mann, B. & Poole, R., 10 May 2018, In : Antioxidants and Redox Signaling. 28, 14, 66 p.

    Research output: Contribution to journalArticle

  27. Goals and resource constraints in CARMA

    Hillston, J., Georgoulas, A. & Piho, P., 9 May 2018, In : Electronic Notes in Theoretical Computer Science. 337, p. 155-172 18 p.

    Research output: Contribution to journalArticle

  28. 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

  29. Synthesizing realistic neural population activity patterns using Generative Adversarial Networks

    Molano-Mazon, M., Onken, A., Piasini, E. & Panzeri, S., 3 May 2018, International Conference on Learning Representations 2018. 24 p.

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

  30. mRNA Cap Methyltransferase, RNMT-RAM, Promotes RNA Pol II-Dependent Transcription

    Varshney, D., Lombardi, O., Schweikert, G., Dunn, S., Suska, O. & Cowling, V. H., 2 May 2018, In : Cell Reports. 23, 5, p. 1530-1542 14 p.

    Research output: Contribution to journalArticle

  31. Performance-monitoring integrated reweighting model of perceptual learning

    Sotiropoulos, G., Seitz, A. R. & Series, P., 25 Apr 2018, In : Vision Research. 23 p.

    Research output: Contribution to journalArticle

  32. Rule-based modelling provides an extendable framework for comparing candidate mechanisms underpinning clathrin polymerisation

    Sorokin, A., Heil, K., Armstrong, J. D. & Sorokina, O., 4 Apr 2018, In : Scientific Reports. 8, 10 p., 5658.

    Research output: Contribution to journalArticle

  33. Pharmacological validation of individual animal locomotion, temperature and behavioural analysis in group-housed rats using a novel automated home cage analysis system: A comparison with the modified Irwin test

    Tse, K., Sillito, R., Keerie, A., Collier, R., Grant, C., Karp, N. A., Vickers, C., Chapman, K., Armstrong, J. D. & Redfern, W. S., 1 Apr 2018, In : Journal of Pharmacological and Toxicological Methods. 94, p. 1 - 13 13 p.

    Research output: Contribution to journalArticle

  34. 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

  35. Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals

    Delis, I., Onken, A. & Panzeri, S., 21 Mar 2018, Mathematical and Theoretical Neuroscience. Springer, Cham, p. 223-237 (INdAM Series; vol. 24).

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

  36. SHEILA policy framework: Informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Tammets, K., Kollom, K. & Gasevic, D., 9 Mar 2018, Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK'18). Sydney: ACM Press, 10 p.

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

  37. 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

  38. Empirical vine copula modeling to study multivariate neural representations during complex behaviors

    Safaai, H., Chettih, S., Onken, A., Panzeri, S. & Harvey, C., 3 Mar 2018, p. 244-245. 2 p.

    Research output: Contribution to conferenceAbstract

  39. Weak Epistasis May Drive Adaptation in Recombining Bacteria

    Arnold, B. J., Gutmann, M., Grad, Y. H., Sheppard, S. K., Corander, J., Lipsitch, M. & Hanage, W. P., 1 Mar 2018, In : Genetics. 208, 3, p. 1247-1260 39 p.

    Research output: Contribution to journalArticle

  40. Likelihood-free inference via classification

    Gutmann, M., Mar 2018, In : Statistics and Computing. 15 p.

    Research output: Contribution to journalArticle

  41. FISSA: A neuropil decontamination toolbox for calcium imaging signals

    Keemink, S., Lowe, S., Pakan, J., Dylda, E., Van Rossum, M. & Rochefort, N., 22 Feb 2018, In : Nature Human Behaviour.

    Research output: Contribution to journalArticle

  42. scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells

    Clark, S. J., Argelaguet, R., Kapourani, A., Stubbs, T. M., Lee, H. J., Alda-Catalinas, C., Krueger, F., Sanguinetti, G., Kelsey, G., Marioni, J. C., Stegle, O. & Reik, W., 22 Feb 2018, In : Nature Communications. 9, 17 p., 781.

    Research output: Contribution to journalArticle

  43. Phase reorganization leads to transient β-LFP spatial wave patterns in motor cortex during steady-state movement preparation

    Rule, M., Vargas-Irwin, C. E., Donoghue, J. P. & Truccolo, W., 14 Feb 2018, In : Journal of Neurophysiology. 37 p.

    Research output: Contribution to journalArticle

  44. Sequence-to-point learning with neural networks for non-intrusive load monitoring

    Zhang, C., Zhong, M., Wang, Z., Goddard, N. & Sutton, C., 7 Feb 2018, Proceedings for Thirty-Second AAAI Conference on Artificial Intelligence. New Orleans, Louisiana, USA: AAAI Press, p. 2604-2611 8 p.

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

  45. Erratum: Author Correction: Neurons and neuronal activity control gene expression in astrocytes to regulate their development and metabolism (Nature communications (2017) 8 (15132))

    Hasel, P., Dando, O., Jiwaji, Z., Baxter, P., Todd, A. C., Heron, S., Márkus, N. M., McQueen, J., Hampton, D. W., Torvell, M., Tiwari, S. S., McKay, S., Eraso-Pichot, A., Zorzano, A., Masgrau, R., Galea, E., Chandran, S., Wyllie, D. J. A., Simpson, T. I. & Hardingham, G. E., 6 Feb 2018, In : Nature Communications. 9, 1 p.

    Research output: Contribution to journalComment/debate

  46. ProPPA: Probabilistic Programming for Stochastic Dynamical Systems

    Georgoulas, A., Hillston, J. & Sanguinetti, G., 31 Jan 2018, In : ACM Transactions on Modeling and Computer Simulation. 28, 1, p. 3:1-3:23 23 p., 3.

    Research output: Contribution to journalArticle

  47. 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

  48. Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image

    Romaszko, L., Williams, C. K. I., Moreno, P. & Kohli, P., 23 Jan 2018, ICCV 2017 Workshop on Geometry Meets Deep Learning. Institute of Electrical and Electronics Engineers (IEEE), p. 940-948 9 p.

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

  49. Multimodal Deep Learning for Activity and Context Recognition

    Radu, V., Tong, C., Bhattacharya, S., Lane, N., Mascolo, C., Marina, M. K. & Kawsar, F., 8 Jan 2018, In : PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 1, 4, p. 157:1-157:27 27 p., 157.

    Research output: Contribution to journalArticle

  50. Estimating Bacterial and Cellular Load in FCFM Imaging

    Seth, S., Akram, A., Dhaliwal, K. & Williams, C. K. I., 5 Jan 2018, In : Journal of Imaging . 4, 1, 17 p.

    Research output: Contribution to journalArticle

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

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

    Research output: Contribution to conferencePaper

  52. HOUDINI: Lifelong Learning as Program Synthesis

    Valkov, L., Chaudhari, D., Srivastava, A., Sutton, C. & Chaudhuri, S., 2018, Thirty-second Conference on Neural Information Processing Systems (NIPS 2018). Montreal, Canada, p. 1-12 12 p.

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

  53. Host-circuit interactions explain unexpected behavior of a gene circuit

    Boada, Y., Vignoni, A., Oyarzún, D. & Picó, J., 2018, In : IFAC-PapersOnLine. 51, 19, p. 86 - 89 4 p.

    Research output: Contribution to journalArticle

  54. Moonshine: Distilling with Cheap Convolutions

    Crowley, E., Gray, G. & Storkey, A., 2018, Thirty-second Conference on Neural Information Processing Systems (NIPS 2018). Montreal, Canada, 11 p.

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

  55. Probabilistic Model Checking for Continuous-Time Markov Chains via Sequential Bayesian Inference

    Milios, D., Sanguinetti, G. & Schnoerr, D., 2018, 15th International Conference on Quantitative Evaluation of SysTems (QEST 2018). Beijing, China: Springer, Cham, p. 289-305 17 p.

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

  56. Sequential Neural Methods for Likelihood-free Inference

    Durkan, C., Papamakarios, G. & Murray, I., 2018, p. 1-9. 9 p.

    Research output: Contribution to conferencePaper

  57. Summarizing Software API Usage Examples using Clustering Techniques

    Katirtzis, N., Diamantopoulos, T. & Sutton, C., 2018, Proceedings of the 21st International Conference on Fundamental Approaches to Software Engineering. Thessaloniki, Greece: Springer, Cham, Vol. 10802. p. 189-206 17 p.

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

  58. 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

  59. 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

  60. Wrattler: Reproducible, live and polyglot notebooks

    Petricek, T., Geddes, J. & Sutton, C., 2018, 10th USENIX Workshop on Theory and Practice of Provenance (TaPP 2018). London, UK: Usenix, p. 1-4 4 p.

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

  61. 2017
  62. Interpretable Machine Teaching via Feature Feedback

    Su, S., Chen, Y., Mac Aodha, O., Perona, P. & Yue, Y., 9 Dec 2017. 9 p.

    Research output: Contribution to conferencePaper

  63. Masked Autoregressive Flow for Density Estimation

    Papamakarios, G., Pavlakou, T. & Murray, I., 9 Dec 2017, Advances in Neural Information Processing Systems 30. Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). Long Beach, United States: Curran Associates Inc, p. 2335-2344 10 p.

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

  64. VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

    Srivastava, A., Valkov, L., Russell, C., Gutmann, M. & Sutton, C., 9 Dec 2017, Advances in Neural Information Processing Systems 30 (NIPS 2017). Long Beach, CA, USA: Curran Associates Inc, p. 3308-3318 18 p.

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

  65. Proteomic analysis of postsynaptic proteins in regions of the human neocortex

    Roy, M., Sorokina, O., Skene, N., Simonnet, C., Mazzola, F., Zwart, R., Sher, E., Smith, C., Armstrong, J. D. & Grant, S., 4 Dec 2017, In : Nature Neuroscience.

    Research output: Contribution to journalArticle

  66. Efficient low-order approximation of first-passage time distributions

    Schnoerr, D., Cseke, B., Grima, R. & Sanguinetti, G., 20 Nov 2017, In : Physical Review Letters. 5 p., 210601 .

    Research output: Contribution to journalArticle

  67. 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

  68. Policy learning in Continuous-Time Markov Decision Processes using Gaussian Processes

    Bartocci, E., Bortolussi, L., Brázdil, T., Milios, D. & Sanguinetti, G., 1 Nov 2017, In : Performance Evaluation. 116, p. 84-100 28 p.

    Research output: Contribution to journalArticle

  69. 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.

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

  70. riboviz: analysis and visualization of ribosome profiling datasets

    Carja, O., Xing, T., Wallace, E. W. J., Plotkin, J. B. & Shah, P., 25 Oct 2017, In : BMC Bioinformatics. 18, 461

    Research output: Contribution to journalArticle

  71. Fundamental Design Principles for Transcription-Factor-Based Metabolite Biosensors

    Mannan, A. A., Liu, D., Zhang, F. & Oyarzún, D. A., 20 Oct 2017, In : ACS Synthetic Biology. 6, 10, p. 1851-1859 9 p.

    Research output: Contribution to journalArticle

  72. 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

  73. Frequency-dependent selection in vaccine-associated pneumococcal population dynamics

    Corander, J., Fraser, C., Gutmann, M. U., Arnold, B., Hanage, W. P., Bentley, S. D., Lipsitch, M. & Croucher, N. J., 16 Oct 2017, In : Nature Ecology & Evolution. 2017, 11 p.

    Research output: Contribution to journalArticle

  74. Individualized prediction of psychosis in subjects with an at-risk mental state

    Zarogianni, E., Storkey, A. J., Borgwardt, S., Smieskova, R., Studerus, E., Riecher-Rössler, A. & Lawrie, S. M., 19 Sep 2017, In : Schizophrenia Research.

    Research output: Contribution to journalArticle

  75. Effects of ambient luminance on retinal information coding

    Alizadeh, A., Onken, A., Mutter, M., Münch, T. & Panzeri, S., 14 Sep 2017. 2 p.

    Research output: Contribution to conferenceAbstract

  76. How do meters mediate? Energy meters, boundary objects and household transitions in Australia and the United Kingdom

    Lovell, H., Pullinger, M. & Webb, J., 7 Sep 2017, In : Energy Research & Social Science. 34, p. 252-259 7 p.

    Research output: Contribution to journalArticle

  77. 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

  78. Continuously tempered Hamiltonian Monte Carlo

    Graham, M. & Storkey, A., 15 Aug 2017, The Conference on Uncertainty in Artificial Intelligence (UAI 2017). Sydney, Australia, 10 p.

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

  79. Learning Continuous Semantic Representations of Symbolic Expressions

    Allamanis, M., Chanthirasegaran, P., Kohli, P. & Sutton, C., 11 Aug 2017, The 34th International Conference on Machine Learning (ICML 2017). Sydney, Australia: PMLR, Vol. 70. p. 80-88 9 p.

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

  80. Statistical abstraction for multi-scale spatio-temporal systems

    Michaelides, M., Hillston, J. & Sanguinetti, G., 11 Aug 2017, International Conference on Quantitative Evaluation of Systems QEST 2017: Quantitative Evaluation of Systems . Springer, Cham, p. 243-258 16 p. (Lecture Notes in Computer Science; vol. 10503).

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

  81. Simultaneous Estimation of Nongaussian Components and their Correlation Structure

    Sasaki, H., Gutmann, M., Shouno, H. & Hyvärinen, A., 4 Aug 2017, In : Neural Computation. 54 p.

    Research output: Contribution to journalArticle

  82. 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

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

    Nash, C. & Williams, C. K. I., Aug 2017, Symposium on Geometry Processing (SGP 2017). 11 p.

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

  84. Enhance: The Assembly Rooms Energy Living Lab

    Carter, C., Morgan, E., Webb, L., Goddard, N. & Webb, J., 31 Jul 2017, PLEA 2017 Conference Proceedings. Roaf, S. (ed.). Edinburgh: PLEA (Passive and Low Energy Architecture), Vol. 1. p. 669-676

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

  85. Differential vergence movements in reading Chinese and English: Greater fixation-initial binocular disparity is advantageous in reading the denser orthography

    Hsiao, Y., Shillcock, R., Obregón, M., Kreiner, H., Roberts, M. A. J. & McDonald, S., 11 Jul 2017, In : Quarterly Journal of Experimental Psychology. p. 1-33 33 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. Synaptic interactome mining reveals p140Cap as a new hub for PSD proteins involved in psychiatric and neurological disorders

    Alfieri, A., Sorokina, O., Adrait, A., Angelini, C., Russo, I., Morellato, A., Matteoli, M., Menna, E., Erba, E. B., McLean, C., Armstrong, J. D., Ala, U., Buxbaum, J. D., Brusco, A., Couté, Y., De Rubeis, S., Turco, E. & Defilippi, P., 30 Jun 2017, In : Frontiers in Molecular Neuroscience. p. 1-15 15 p., 212.

    Research output: Contribution to journalArticle

  88. 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

  89. Estimating Bacterial Load in FCFM Imaging

    Seth, S., Akram, A., Dhaliwal, K. & Williams, C. K. I., 22 Jun 2017, Medical Image Understanding and Analysis. MIUA 2017.. Springer, Cham, p. 909-921 12 p. (Communications in Computer and Information Science; vol. 723).

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

  90. 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

  91. Co-Designing Innovations for Energy Saving in Large Organisations

    Morgan, E., Webb, L., Goddard, N., Carter, C. & Webb, J., 14 Jun 2017, DIS '17 Companion Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems. ACM, p. 50-54 5 p.

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

  92. Extraction of synaptic input properties in vivo

    Puggioni, P., Jelitai, M., Duguid, I. & Van Rossum, M., 31 May 2017, In : Neural Computation. 26 p.

    Research output: Contribution to journalArticle

  93. State-Dependent Decoding Algorithms Improve the Performance of a Bidirectional BMI in Anesthetized Rats

    De Feo, V., Boi, F., Safaai, H., Onken, A., Panzeri, S. & Vato, A., 31 May 2017, In : Frontiers in Neuroscience. 11, p. 1-15 15 p., 269.

    Research output: Contribution to journalArticle

  94. BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited Paper

    Llewellynn, T., Fernández-Carrobles, M. M., Deniz, O., Fricker, S., Storkey, A., Pazos, N., Velikic, G., Leufgen, K., Dahyot, R., Koller, S., Goumas, G., Leitner, P., Dasika, G., Wang, L. & Tutschku, K., 15 May 2017, Proceedings of the Computing Frontiers Conference. New York, NY, USA: ACM, p. 299-304 6 p. (CF'17).

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

  95. MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain

    Lagger, S., Connelly, J. C., Schweikert, G., Webb, S., Selfridge, J., Ramsahoye, B. H., Yu, M., He, C., Sanguinetti, G., Sowers, L. C., Walkinshaw, M. D., Bird, A. & Greally, J. M. (ed.), 12 May 2017, In : PLoS Genetics. 13, 5, p. 26 1 p., e1006793.

    Research output: Contribution to journalArticle

  96. Neurons and neuronal activity control gene expression in astrocytes to regulate their development and metabolism

    Hasel, P., Dando, O., Jiwaji, Z., Baxter, P., Todd, A. C., Heron, S., Márkus, N. M., Mcqueen, J., Hampton, D. W., Torvell, M., Tiwari, S. S., Mckay, S., Eraso-pichot, A., Zorzano, A., Masgrau, R., Galea, E., Chandran, S., Wyllie, D. J. A., Simpson, T. I. & Hardingham, G. E., 2 May 2017, In : Nature Communications. 8, p. 1-17 17 p., 15132.

    Research output: Contribution to journalArticle

  97. 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

  98. 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

  99. Multiplicative LSTM for sequence modelling

    Krause, B., Murray, I., Renals, S. & LU, L., 26 Apr 2017, International Conference on Learning Representations - ICLR 2017 - Workshop Track. p. 2872-2880 9 p.

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

  100. 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

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