Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 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

  2. Topographic Analysis of Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A., 2012, Proc. Asian Conference on Machine Learning (ACML). Journal of Machine Learning Research - Proceedings Track, p. 365-378 14 p. 25

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

  3. Topographica

    Bednar, J. A., 4 Mar 2014, Encyclopedia of Computational Neuroscience. Jaeger, D. & Jung, R. (eds.). New York, NY: Springer New York, p. 1-5 5 p.

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  4. Topographica: Computational Modeling of Neural Maps

    Ball, C. E. & Bednar, J. A., 2009.

    Research output: Contribution to conferencePoster

  5. Topographica: building and analyzing map-level simulations from Python, C/C++, MATLAB, NEST, or NEURON components

    Bednar, J. A., 2009, In : Frontiers in Neuroinformatics. 3, 8, p. 1-9 9 p., 8.

    Research output: Contribution to journalArticle

  6. Toward data representation with spiking neurons

    Gutmann, M. & Aihara, K., 2008, In : Artificial Life and Robotics. 12, 1, p. 223-226 4 p.

    Research output: Contribution to journalArticle

  7. 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

  8. Towards NeuroML: model description methods for collaborative modelling in neuroscience.

    Goddard, N., Hucka, M., Howell, F., Cornelis, H., Shankar, K. & Beeman, D., 1 Aug 2001, In : Philos Trans R Soc Lond B Biol Sci. 356, 1412, p. 1209-1228 20 p.

    Research output: Contribution to journalArticle

  9. 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