Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Curve adaptation effects on high-level facial-expression judgments are predicted to have the same form as low-level aftereffects

    Zhao, C. R. & Bednar, J. A., 2010, In : Perception. 39, EVCP Abstract Supplement, p. 91-91 1 p.

    Research output: Contribution to journalMeeting abstract

  2. Modelling face adaptation aftereffects

    Zhao, C. R., Hancock, P. & Bednar, J. A., 2008.

    Research output: Contribution to conferencePoster

  3. Similar neural adaptation mechanisms underlying face gender and tilt aftereffects

    Zhao, C. R., Series, P., Hancock, P. J. B. & Bednar, J. A., Sep 2011, In : Vision Research. 51, 18, p. 2021-2030 10 p.

    Research output: Contribution to journalArticle

  4. Blind source separation for fmri signals using spatial independent component analysis

    Zhong, M., Tang, H. & Tang, Y., Dec 2002, In : ACTA Biophysica Sinica. 19, 1, p. 79-83 5 p.

    Research output: Contribution to journalArticle

  5. Latent Bayesian melding for integrating individual and population models

    Zhong, M., Goddard, N. & Sutton, C., 2015, Advances in Neural Information Processing Systems 28 (NIPS 2015). p. 3617-3625 9 p.

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

  6. Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation

    Zhong, M., Goddard, N. & Sutton, C., 2014, Advances in Neural Information Processing Systems 27 (NIPS 2014). Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. D. & Weinberger, K. Q. (eds.). Palais des Congrès de Montréal, Montréal, CANADA : Curran Associates Inc, p. 3590-3598 9 p.

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

  7. The Mathematical Principles of AFNI and One of its Applications to the Research of the Functional Neuroimages

    Zhong, M., Tang, H. & Feng, J., 2002, In : Journal of Basic Science and Engineering. 3, 4 p.

    Research output: Contribution to journalArticle

  8. An EM Algorithm for Independent Component Analysis in the Presence of Gaussian Noise

    Zhong, M., Tang, H., Wang, H. & Tang, Y., Jan 2004, In : Neural Information Processing - Letters and Reviews. p. 11-17 7 p.

    Research output: Contribution to journalArticle

  9. Gaussian Regression and Optimal Finite Dimensional Linear Models

    Zhu, H., Williams, C. K. I., Rohwer, R., Morciniec, M. & Hammel, M., 1997, 20 p.

    Research output: Working paper