Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 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

  2. State-dependent brainstem ensemble dynamics and their interactions with hippocampus across sleep states

    Tsunematsu, T., Patel, A., Onken, A. & Sakata, S., 14 Jan 2020, In : eLIFE. 9, 22 p., e52244.

    Research output: Contribution to journalArticle

  3. Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters

    Bodík, P., Griffith, R., Sutton, C., Fox, A., Jordan, M. & Patterson, D., 2009, Proceedings of the 2009 Conference on Hot Topics in Cloud Computing (HotCloud 2009). Berkeley, CA, USA: USENIX Association, 5 p.

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

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

    Michaelides, M., Hillston, J. & Sanguinetti, G., 10 Dec 2019, In : ACM Transactions on Modeling and Computer Simulation. 29, 4, p. 22:1-22:29 29 p., 22.

    Research output: Contribution to journalArticle

  5. 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

  6. Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2

    Hyvärinen, A., Gutmann, M. & Hoyer, P. O., 2005, In : BMC Neuroscience. 6, 1, p. 1-12 12 p.

    Research output: Contribution to journalArticle

  7. 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

  8. Statistical models of images and early vision

    Hyvärinen, A., Hoyer, P. O., Hurri, J. & Gutmann, M., 2005, Proc. of the International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR). p. 1-14 14 p.

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

  9. Steady-state movement related potentials for BCI – anexploratory approach in the STF domain

    Nazarpour, K., Praamstra, P., Miall, R. C. & Sanei, S., 21 Sep 2008, p. 220-225. 6 p.

    Research output: Contribution to conferencePaper

  10. Steady-state movement related potentials for brain-computer interfacing

    Nazarpour, K., Praamstra, P., Miall, R. C. & Sanei, S., 1 Aug 2009, In : IEEE Transactions on Biomedical Engineering. 56, 8, p. 2104-13 10 p.

    Research output: Contribution to journalArticle