Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2018
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. Likelihood-free inference via classification

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

    Research output: Contribution to journalArticle

  8. 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

  9. 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

  10. 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

  11. 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