Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Self-Organization of Innate Face Preferences: Could Genetics Be Expressed Through Learning?

    Bednar, J. A. & Miikkulainen, R., 2000, Proceedings of the Seventeenth National Conference on Artificial Intelligence. AAAI Press, p. 117-122

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

  2. Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex

    Sirosh, J., Miikkulainen, R. & Bednar, J. A., 1996, Proceedings of the International Conference on Artificial Neural Networks. Sirosh, J., Miikkulainen, R. & Choe, Y. (eds.). Berlin: Springer Japan, p. 1147-1152 6 p.

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

  3. Self-Organization of Spatiotemporal Receptive Fields and laterally connected direction and orientation maps

    Bednar, J. A. & Miikkulainen, R., 2003, Neurocomputing. Thoemmes Press, p. 52-54 3 p.

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

  4. Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex

    Miikkulainen, R., Bednar, J. A., Choe, Y. & Sirosh, J., 1997, Perceptual Learning. Goldstone, R. L., Schyns, P. G. & Medin, D. L. (eds.). Academic Press, p. 257-308 52 p. (Psychology of Learning and Motivation).

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

  5. Self-organization of Color Opponent Receptive Fields and Laterally Connected Orientation Maps

    Bednar, J. A., De Paula, J. B. & Miikkulainen, R., 1 Jun 2005, In : Neurocomputing. p. 69-76 8 p.

    Research output: Contribution to journalArticle

  6. Self-restoration of cardiac excitation rhythm by anti-arrhythmic ion channel gating

    Majumder, R., De Coster, T., Kudryashova, N., Verkerk, A. O., Kazbanov, I. V., Ördög, B., Harlaar, N., Wilders, R., de Vries, A. AF., Ypey, D. L., Panfilov, A. V. & Pijnappels, D. A., 25 Jun 2020, In : eLIFE. 9, 23 p., e55921.

    Research output: Contribution to journalArticle

  7. Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models

    Zhang, Y. & Sutton, C., 2014, Advances in Neural Information Processing Systems 27. Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. D. & Weinberger, K. Q. (eds.). Curran Associates Inc, p. 10-18 9 p.

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

  8. Semisupervised Multitask Learning With Gaussian Processes

    Skolidis, G. & Sanguinetti, G., 1 Dec 2013, In : IEEE Transactions on Neural Networks and Learning Systems. 24, 12, p. 2101-2112 12 p.

    Research output: Contribution to journalArticle

  9. SenseBack - An implantable system for bidirectional neural interfacing

    Williams, I., Brunton, E., Rapeaux, A., Liu, Y., Luan, S., Nazarpour, K. & Constandinou, T. G., 10 Sep 2020, In : IEEE Transactions on Biomedical Circuits and Systems. 10 p.

    Research output: Contribution to journalArticle