Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. A modern materialist approach to abstraction, concreteness and explanation in cognition

    Shillcock, R., 11 Oct 2019, (Accepted/In press) In : Behavioral and Brain Sciences. 3 p.

    Research output: Contribution to journalArticle

  2. A modified spreading algorithm for autoassociation in weightless neural networks

    Browne, C., de L. Pereira Castro Jr., J. & Storkey, A., 1996, Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. von der Malsburg, C., von Seelen, W., Vorbrüggen, J. C. & Sendhoff, B. (eds.). Springer Berlin Heidelberg, p. 569-574 6 p. (Lecture Notes in Computer Science; vol. 1112).

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

  3. A multiscale model of intestinal crypts dynamics

    Graudenzi, A., Caravagna, G., De Matteis, G., Mauri, G. & Antoniotti, M., 2012, Proceedings of the Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE 2012). 13 p.

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

  4. A network view of the structure of center/surround modulations of V1 receptive field properties in visual and cortical spaces

    Seriès, P., Georges, S., Lorenceau, J. & Frégnac, Y., 1 Jun 2001, In : Neurocomputing. 38-40, p. 881-888 7 p.

    Research output: Contribution to journalArticle

  5. A new method of spike modelling and interval analysis

    MacGregor, D. J., Williams, C. K. I. & Leng, G., Jan 2009, In : Journal of Neuroscience Methods. 176, 1, p. 45-56 12 p.

    Research output: Contribution to journalArticle

  6. A new test of legibility

    Van Rossum, M., 1997, In : Quaerendo. 27, 2, p. 141-147 7 p.

    Research output: Contribution to journalArticle

  7. A non-stationary copula-based spike count model

    Onken, A., Grünewälder, S., Klaus, O., Munk, M. H. & Obermayer, K., 4 Mar 2010.

    Research output: Contribution to conferenceAbstract

  8. A novel approach to Drosophila neurophysiology: the targeted expression of aequorin

    Rosay, P., Kaiser, K. & Armstrong, J. D., 1999, Handbook of Molecular-Genetic Techniques for Brain and Behavior Research. Crusio, W. E. & Gerlai, R. T. (eds.). Elsevier, p. 487-495 9 p. (Techniques in the Behavioral and Neural Sciences).

    Research output: Chapter in Book/Report/Conference proceedingChapter

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