Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. What can MaxEnt reveal about high-density recordings and what can high-density recordings reveal about MaxEnt?

    Panas, D., Maccione, A., Berdondini, L. & Hennig, M., 2011, In : BMC Neuroscience. 12, Supplement 1, 2 p., P146.

    Research output: Contribution to journalMeeting abstract

  2. What, if anything, are topological maps for?

    Wilson, S. P. & Bednar, J. A., 11 Feb 2015, In : Developmental neurobiology.

    Research output: Contribution to journalArticle

  3. When Training and Test Sets Are Different: Characterizing Learning Transfer

    Storkey, A., Quiñonero-Candela, J., Sugiyama, M., Schwaighofer, A. & Lawrence, ND., Dec 2008, Dataset Shift in Machine Learning. Cambridge: Yale University Press in association with the Museum of London, p. 3-28 26 p. (Neural Information Processing Series).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  4. Why, when, and what: Analyzing Stack Overflow questions by topic, type, and code

    Allamanis, M. & Sutton, C., 2013, Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 53-56 4 p.

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

  5. Wide-band information transmission at the calyx of Held

    Hennig, M., Graham, B. P., Yang, Z., Postlethwaite, M. & Forsythe, I. D., Apr 2009, In : Neural Computation. 21, 4, p. 991-1017 27 p.

    Research output: Contribution to journalLetter

  6. Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio

    Jastrzębski, S., Kenton, Z., Arpit, D., Ballas, N., Fischer, A., Bengio, Y. & Storkey, A., Oct 2018, Proceedings of 27th International Conference on Artificial Neural Networks. Rhodes, Greece: Springer, Cham, p. 392-402 10 p.

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

  7. Word Storms: Multiples of Word Clouds for Visual Comparison of Documents

    Castella, Q. & Sutton, C. A., 2014, Proceedings of the 23rd international conference on World wide web. International World Wide Web Conferences Steering Committee, p. 665-676 12 p.

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

  8. 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

  9. eCAT: Online electronic lab notebook for scientific research

    Goddard, N., Macneil, R. & Ritchie, J., 2009, In : Automated Experimentation. 1, p. 1-7 7 p., 4.

    Research output: Contribution to journalArticle

  10. fMRI correlates of state and trait effects in subjects at genetically enhanced risk of schizophrenia

    Whalley, H. C., Simonotto, E., Flett, S., Marshall, I., Ebmeier, K. P., Owens, D. G. C., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., Mar 2004, In : Brain. 127, Pt 3, p. 478-90 13 p.

    Research output: Contribution to journalArticle

  11. iBehave - applications of supervised machine learning to behaviour analysis.

    Heward, J. A., Crook, P. A., Lukins, T. C. & Armstrong, D., 2008, Proceedings of Measuring Behaviour 2008. 6th International Conference on Methods and Techniques in Behavioural Research. Spink, A., Ballintijn, M., Bogers, N., Grieco, F., Loijens, L., Noldus, L., Smit, G. & Zimmerman, P. (eds.). p. 314-315 2 p.

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

  12. 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

  13. ptype: probabilistic type inference

    Ceritli, T., Williams, C. K. I. & Geddes, J., 16 Mar 2020, In : Data Mining and Knowledge Discovery. 34, 3, p. 870-904 35 p.

    Research output: Contribution to journalArticle

  14. puma: a Bioconductor package for propagating uncertainty in microarray analysis

    Pearson, R., Liu, X., Sanguinetti, G., Milo, M., Lawrence, N. & Rattray, M., 2009, In : BMC Bioinformatics. 10, 1, 10 p.

    Research output: Contribution to journalArticle

  15. qpMerge: Merging different peptide isoforms using a motif centric strategy

    Hindle, M. M., Le Bihan, T., Krahmer, J., Martin, S. F., Noordally, Z. B., Simpson, T. I. & Millar, A. J., 5 Apr 2016, (Submitted) bioRxiv, at Cold Spring Harbor Laboratory, 9 p.

    Research output: Working paper

  16. 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

  17. 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

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