Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Chapter (peer-reviewed) › Research › Not peer-reviewed
  2. Modularity and the processing of closed-class words

    Shillcock, R. C. & Bard, E. G., Dec 1993, Cognitive models of speech processing: The Second Sperlonga Meeting. Altmann, G. & Shillcock, R. (eds.). Lawrence Erlbaum Associates, p. 163-185 22 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  3. Retinal Waves: Underlying Cellular Mechanisms and Theoretical Considerations.

    Sernagor, E. & Hennig, M., 2012, Developmental Neuroscience: A Comprehensive Reference. Rubenstein, J. & Rakic, P. (eds.). Elsevier

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  4. The Organization and integrative function of the post-synaptic proteome

    Grant, S., Husi, H., Choudhary, J., Cumiskey, M., Blackstock, W. & Armstrong, D., 2004, Excitatory-Inhibitory Balance: Synapses, Circuits, Systems. KLUWER ACADEMIC/PLENUM PUBL, p. 13-44 32 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  5. Chapter (peer-reviewed) › Research › Peer-reviewed
  6. An Introduction to Conditional Random Fields for Relational Learning

    Sutton, C. & McCallum, A., 2007, Introduction to Statistical Relational Learning. MIT Press, p. 93-128 36 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  7. Chapter Six – Genetic Analysis of Drosophila Circadian Behavior in Seminatural Conditions

    Green, E. W., O'Callaghan, E. K., Pegoraro, M., Armstrong, J. D., Costa, R. & Kyriacou, C. P., 2015, Circadian Rhythms and Biological Clocks, Part A. Sehgal, A. (ed.). Academic Press, p. 121-133 13 p. (Methods in Enzymology; vol. 559).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  8. Clumps, Clusters and Classification

    Bishop, C., 2004, Computer Systems: Theory, Technology, and Applications. Herbert, A. & Jones, K. (eds.). Springer New York, p. 39-49 11 p. (Monographs in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  9. Comparison of Generative and Discriminative Techniques for Object Detection and Classification

    Ulusoy, I. & Bishop, C., 2006, Toward Category-Level Object Recognition. Ponce, J., Hebert, M., Schmid, C. & Zisserman, A. (eds.). Springer Berlin Heidelberg, p. 173-195 23 p. (Lecture Notes in Computer Science; vol. 4170).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  10. Constructing Complex Systems Via Activity-Driven Unsupervised Hebbian Self-Organization

    Bednar, J. A., 5 Jun 2014, Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks. Kowaliw, T., Bredeche, N. & Doursat, R. (eds.). Springer Berlin Heidelberg, Vol. 557. p. 201-225 25 p. (Growing Adaptive Machines; vol. 557).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  11. Constructing visual function through prenatal and postnatal learning

    Bednar, J. A. & Miikkulainen, R., 2005, Neuroconstructivism, Vol. 2: Perspectives and Prospects. Mareschal, D., Johnson, M. H., Sirois, S., Spratling, M., Thomas, M. S. C. & Westermann, G. (eds.). Oxford University Press, p. 13-37 25 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  12. Hebbian Learning of the Statistical and Geometrical Structure of Visual Input

    Bednar, J. A., 2014, Neuromathematics of Vision: Lecture Notes in Morphogenesis. Springer Berlin Heidelberg, p. 335-366 Chapter 8. (Neuromathematics of Vision).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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