Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2017
  2. 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

  3. 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

  4. 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

  5. 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. Journal of Machine Learning Research: Workshop and Conference Proceedings, p. 499-508 10 p.

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

  6. Markov Chain Truncation for Doubly-Intractable Inference

    Wei, C. & Murray, I., 15 Apr 2017, In : Journal of Machine Learning Research: Workshop and Conference Proceedings. 54, p. 776-784 9 p.

    Research output: Contribution to journalArticle

  7. Kinetic CRAC uncovers a role for Nab3 in determining gene expression profiles during stress

    Van Nues, R., Schweikert, G., De Leau, E., Selega, A., Langford, A., Franklin, R., Iosub, I., Wadsworth, P., Sanguinetti, G. & Granneman, S., 11 Apr 2017, In : Nature Communications. 8, 12.

    Research output: Contribution to journalArticle

  8. Aye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media

    Shoemark, P., Sur, D., Shrimpton, L., Murray, I. & Goldwater, S., 7 Apr 2017, European Chapter of the Association for Computational Linguistics (EACL 2017). Valencia, Spain : Association for Computational Linguistics, p. 1239–1248 10 p.

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

  9. Conditioned Task-set Competition: Neural Mechanisms of Emotional Interference in Depression

    Series, P., Apr 2017, In : Cognitive, Affective & Behavioral Neuroscience. 17, 2, p. 1-21 22 p.

    Research output: Contribution to journalArticle

  10. Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization

    Du, J. & Zhong, M., Apr 2017, In : Neural Processing Letters. 45, 2, p. 553-562 10 p.

    Research output: Contribution to journalArticle

  11. Unsupervised spike sorting for large scale, high density multielectrode arrays

    Hilgen, G., Sindaci, M. S., Pirmoradian, S., Muthmann, J-O., Kepiro, I., Ullo, S., Juarez Ramirez, C., Encinas, A. P., Maccione, A., Berdondini, L., Murino, V., Sona, D., Cella Zanacchi, F., Sernagor, E. & Hennig, M. H., 7 Mar 2017, In : Cell Reports. 18, 10, p. 2521-2532 12 p.

    Research output: Contribution to journalArticle

  12. Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina

    Hilgen, G., Pirmoradian, S., Pamplona, D., Kornprobst, P., Cessac, B., Hennig, M. H. & Sernagor, E., 10 Feb 2017, In : Scientific Reports. 7, 14 p., 42330.

    Research output: Contribution to journalArticle

  13. 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

  14. 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

  15. Optogenetic Stimulation Shifts the Excitability of Cerebral Cortex from Type I to Type II: Oscillation Onset and Wave Propagation

    Heitmann, S., Rule, M., Truccolo, W., Ermentrout, B. & Latham, P. E. (ed.), 24 Jan 2017, In : PLoS Computational Biology. 13, 1, p. 1-13 13 p., e1005349.

    Research output: Contribution to journalArticle

  16. Modeling Trait Anxiety: From Computational Processes to Personality

    Raymond, J. G., Steele, J. D. & Seriès, P., 23 Jan 2017, In : Frontiers in psychiatry. 8, p. 1-19 19 p., 1.

    Research output: Contribution to journalArticle

  17. Dissociation between sustained single-neuron spiking β-rhythmicity and transient β-LFP oscillations in primate motor cortex

    Rule, M. E., Vargas-Irwin, C. E., Donoghue, J. P. & Truccolo, W., 18 Jan 2017, In : Journal of Neurophysiology. p. 1-52 52 p.

    Research output: Contribution to journalArticle

  18. Functional consequences of pre- and postsynaptic expression of 2 synaptic plasticity

    Costa, R. P., Mizusaki, B. E. P., Sjöström, P. J. & Van Rossum, M., 16 Jan 2017, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 372, 1715, p. 1-10 10 p.

    Research output: Contribution to journalArticle

  19. Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions

    Keck, T., Toyoizumi, T., Chen, L., Doiron, B., Feldman, D. E., Fox, K., Gerstner, W. G., Haydon, P. G., Hübener, M., Lee, H-K., Lisman, J. E., Rose, T., Sengpiel, F., Stellwagen, D., Stryker, M. P., Turrigiano, G. G. & Van Rossum, M., 16 Jan 2017, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 372, 1715, 23 p.

    Research output: Contribution to journalArticle

  20. Sparse Approximate Inference for Spatio-Temporal Point Process Models

    Cseke, B., Sanguinetti, G. & Mangion, A. Z., 4 Jan 2017, In : Journal of the American Statistical Association. 111, 516, p. 1746-1763 8 p.

    Research output: Contribution to journalArticle

  21. Fundamentals and Recent Developments in Approximate Bayesian Computation

    Lintusaari, J., Gutmann, M., Dutta, R., Kaski, S. & Corander, J., 1 Jan 2017, In : Systematic biology. 66, 1, p. e66-e82 17 p.

    Research output: Contribution to journalArticle

  22. 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

  23. Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization

    Liu, J. K., Schreyer, H. M., Onken, A., Rozenblit, F., Khani, M. H., Krishnamoorthy, V., Panzeri, S. & Gollisch, T., 2017, In : Nature Communications. 8, 1, p. 1-14 14 p., 149.

    Research output: Contribution to journalArticle

  24. Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments

    Selega, A., Sirocchi, C., Iosub, I., Granneman, S. & Sanguinetti, G., 2017, In : Nature Methods. 14, 1, p. 83-89 10 p.

    Research output: Contribution to journalArticle

  25. 2016
  26. DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks

    Lukauskas, S., Visintainer, R., Sanguinetti, G. & Schweikert, G., 13 Dec 2016, In : BMC Bioinformatics. 17, 16, 15 p.

    Research output: Contribution to journalArticle

  27. Structured Prediction of Unobserved Voxels from a Single Depth Image

    Firman, M., Mac Aodha, O., Julier, S. & Brostow, G. J., 12 Dec 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers (IEEE), p. 5431-5440 10 p.

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

  28. Mixed vine copulas as joint models of spike counts and local field potentials

    Onken, A. & Panzeri, S., 11 Dec 2016, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. Barcelona, Spain: Neural Information Processing Systems, p. 1325-1333 9 p.

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

  29. Data Cleaning using Probabilistic Models of Integrity Constraints

    Eduardo, S. & Sutton, C., 10 Dec 2016, NIPS 2016 Workshop on Artificial Intelligence for Data Science (AI4DataSci 2016). 3 p.

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

  30. Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation

    Papamakarios, G. & Murray, I., 10 Dec 2016, 30th Conference on Neural Information Processing Systems (NIPS 2016). Barcelona, Spain: Curran Associates Inc, p. 1028-1036 9 p.

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

  31. Continuously tempered Hamiltonian Monte Carlo

    Graham, M. & Storkey, A., 9 Dec 2016.

    Research output: Contribution to conferenceAbstract

  32. Trends and challenges in Computational RNA biology

    Selega, A. & Sanguinetti, G., 7 Dec 2016, In : Genome Biology. 17, 253, p. 1-4 4 p.

    Research output: Contribution to journalMeeting abstract

  33. Overcoming Occlusion with Inverse Graphics

    Moreno, P., Williams, C. K. I., Nash, C. & Kohli, P., 16 Nov 2016, Computer Vision: ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III. Hua, G. & Jégou, H. (eds.). Cham: Springer International Publishing, p. 170-185 16 p. (Lecture Notes in Computer Science (LNCS); vol. 9915).

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

  34. Expectation propagation for continuous time stochastic processes

    Cseke, B., Schnoerr, D., Opper, M. & Sanguinetti, G., 14 Nov 2016, In : Journal of Physics A: Mathematical and Theoretical. 49, 18 p., 494002.

    Research output: Contribution to journalArticle

  35. Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains

    Onken, A., Liu, J. K., Karunasekara, P. P. C. R., Delis, I., Gollisch, T. & Panzeri, S., 4 Nov 2016, In : PLoS Computational Biology. 12, 11, p. 1-46 46 p., e1005189.

    Research output: Contribution to journalArticle

  36. Evidence for evolutionary divergence of activity-dependent gene expression in developing neurons

    Qiu, J., McQueen, J., Bilican, B., Dando, O., Magnani, D., Punovuori, K., Selvaraj, B. T., Livesey, M., Haghi, G., Heron, S., Burr, K., Patani, R., Rajan, R., Sheppard, O., Kind, P. C., Simpson, I., Tybulewicz, V. LJ., Wyllie, D. JA., Fisher, E. MC., Lowell, S. & 3 others, Chandran, S., Hardingham, G. E. & West, A. (ed.), 3 Nov 2016, In : eLIFE. 5, 21 p., e20337.

    Research output: Contribution to journalArticle

  37. Parameter-Free Probabilistic API Mining across GitHub

    Fowkes, J. & Sutton, C., 1 Nov 2016, FSE 2016: ACM SIGSOFT International Symposium on the Foundations of Software Engineering. Seattle, United States: ACM, p. 254-265 12 p.

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

  38. Neural Maps: Their Function and Development

    Bednar, J. & Williams, C. K. I., Nov 2016, From Neuron to Cognition via Computational > Neuroscience. Arbib, M. & Bonaiuto, J. (eds.). MIT Press, p. 409-432 34 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  39. Design of the TRONCO BioConductor Package for TRanslational ONCOlogy

    Antoniotti, M., Caravagna, G., De Sano, L., Graudenzi, A., Mauri, G., Mishra, B. & Ramazzotti, D., 21 Oct 2016, In : The R Journal. 8, 2, p. 39-59 21 p.

    Research output: Contribution to journalArticle

  40. Statistical modeling of isoform splicing dynamics from RNA-seq time series data

    Huang, Y. & Sanguinetti, G., 1 Oct 2016, In : Bioinformatics. 32, 19, p. 2965-2972 8 p.

    Research output: Contribution to journalArticle

  41. Bioluminescence-based approach to monitor neural activity in freely moving Drosophilalarvae

    Marescotti, M., Lagogiannis, K., Davies, W., Webb, B. & Armstrong, J. D., Oct 2016. 1 p.

    Research output: Contribution to conferencePoster

  42. Detecting Artifactual Events in Vital Signs Monitoring Data

    Lal, P., Williams, C. K. I., Georgatzis, K., Hawthorne, C., McMonagle, P., Piper, I. & Shaw, M., Oct 2016, Machine Learning for Healthcare Technologies. Clifton, D. A. (ed.). IET, p. 7-32 26 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  43. 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

  44. Concurrent Analysis of Neural Activity at Multiple Scales Using Mixed Vine Copulas

    Onken, A. & Panzeri, S., 23 Sep 2016. 1 p.

    Research output: Contribution to conferenceAbstract

  45. The Art of Detection

    Crowley, E. J. & Zisserman, A., 18 Sep 2016, Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I. Hua, G. & Jégou, H. (eds.). Cham: Springer International Publishing, p. 721-737 17 p. (Lecture Notes in Computer Science; vol. 9913).

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

  46. Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices

    Radu, V., Lane, N. D., Bhattacharya, S., Mascolo, C., Marina, M. K. & Kawsar, F., 12 Sep 2016, Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. New York, NY, USA: ACM, p. 185-188 4 p. (UbiComp '16).

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

  47. 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

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