Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2004
  2. Computation with populations codes in layered networks of integrate-and-fire neurons

    van Rossum, M. C. W. & Renart, A., 2004, In : Neurocomputing. 58-60, 0, p. 265 - 270

    Research output: Contribution to journalArticle

  3. Cosine transform priors for enhanced decoding of compressed images

    Storkey, A. & Allan, M., 2004, INTELLIGENT DAA ENGINEERING AND AUTOMATED LEARNING IDEAL 2004, PROCEEDINGS. Yang, ZR., Everson, R. & Yin, H. (eds.). BERLIN: Springer-Verlag Berlin Heidelberg, p. 533-539 7 p. (LECTURE NOTES IN COMPUTER SCIENCE; vol. 3177).

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

  4. Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data

    Sutton, C., Rohanimanesh, K. & McCallum, A., 2004, Proceedings of the Twenty-first International Conference on Machine Learning. New York, NY, USA: ACM, 8 p.

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

  5. Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina

    Hennig, M. H. & Wörgötter, F., 2004, Advances in Neural Information Processing Systems 16 (NIPS 2003). Thrun, S., Saul, L. K. & Schölkopf, B. (eds.). MIT Press, p. 1475-1482 8 p.

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

  6. Generalised propagation for fast Fourier transforms with partial or missing data

    Storkey, AJ., 2004, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16: Proceedings of the 2003 Conference. Thrun, S., Saul, K. & Scholkopf, B. (eds.). CAMBRIDGE: MIT Press, p. 433-440 8 p. (ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS; vol. 16).

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

  7. Greedy learning of multiple objects in images using robust statistics and factorial learning

    Williams, C. K. I. & Titsias, M. K., 2004, In : Neural Computation. 16, 5, p. 1039-1062 24 p.

    Research output: Contribution to journalArticle

  8. Modeling Cortical Maps with Topographica

    Bednar, J. A., Choe, Y., Paula, J. D., Miikkulainen, R., Provost, J. & Tversky, T., 2004, In : Neurocomputing. 58-60, p. 1129-1135 7 p.

    Research output: Contribution to journalArticle

  9. Modeling self-organization of color-opponent receptive fields and laterally connected orientation maps and color blobs in V1

    De Paula, J. B., Bednar, J. A. & Miikkulainen, R., 2004.

    Research output: Contribution to conferenceAbstract

  10. Piecewise Training with Parameter Independence Diagrams: Comparing Globally- and Locally-trained Linear-chain CRFs

    McCallum, A. & Sutton, C., 2004, NIPS Workshop on Learning with Structured Outputs. NIPS Foundation, 10 p.

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

  11. Prenatal and postnatal development of laterally connected orientation maps

    Bednar, J. A. & Miikkulainen, R., 2004, In : Neurocomputing. 58-60, p. 985-992 8 p.

    Research output: Contribution to journalArticle