Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2007
  2. Neuroinformatics and modeling of the basal ganglia: bridging pharmacology and physiology

    Gillies, A. & Willshaw, D., 2007, In : Expert review of medical devices. 4, 5, p. 663-72 10 p.

    Research output: Contribution to journalArticle

  3. Non-linear dimensionality reduction of signaling networks

    Ivakhno, S. & Armstrong, J. D., 2007, In : BMC Systems Biology. 1, 17 p., 27.

    Research output: Contribution to journalArticle

  4. Optimal metabolic regulation by temporal variation of enzyme activities: a control theoretic approach

    Oyarzun, DA., Ingalls, B. & Kalamatianos, D., 2007, Foundations of Systems Biology and Engineering (FOSBE 2007). p. 491-496 6 p.

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

  5. Piecewise Pseudolikelihood for Efficient Training of Conditional Random Fields

    Sutton, C. & McCallum, A., 2007, Proceedings of the 24th International Conference on Machine Learning. New York, NY, USA: ACM, p. 863-870 8 p.

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

  6. Response-Time Modeling for Resource Allocation and Energy-Informed SLAs

    Bodik, P., Sutton, C., Fox, A., Patterson, D. & Jordan, M. I., 2007, NIPS Workshop on Statistical Learning Techniques for Solving Systems Problems (MLSys 07). NIPS Foundation

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

  7. Sequential Use of Mushroom Body Neuron Subsets during Drosophila Odor Memory Processing

    Krashes, M. J., Keene, A. C., Leung, B., Armstrong, J. D. & Waddell, S., 2007, In : Neuron. 53, 1, p. 103-115 13 p.

    Research output: Contribution to journalArticle

  8. The Processing of low frequency pseudowords by Broca's area

    Papoutsi, M., de Zwart, J. A., Jansma, J. M., Pickering, M., Bednar, J. A. & Horowitz, B., 2007.

    Research output: Contribution to conferencePoster

  9. The Processing of low frequency pseudowords by Broca's area

    Papoutsi, M., de Zwart, J. A., Jansma, J. M., Pickering, M., Bednar, J. A. & Horowitz, B., 2007, Organisation for Human Brain Mapping, 13th Annual Meeting, Chicago, USA.

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

  10. 2006
  11. Probabilistic inference for solving (PO) MDPs

    Toussaint, M., Harmeling, S. & Storkey, A., Dec 2006, 22 p.

    Research output: Working paper

  12. The effects of incomplete protein interaction data on structural and evolutionary inferences

    de Silva, E., Thorne, T., Ingram, P., Agrafioti, I., Swire, J., Wiuf, C. & Stumpf, M. P. H., 3 Nov 2006, In : BMC Biology. 4, 39.

    Research output: Contribution to journalArticle

  13. Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities

    Sanguinetti, G., Lawrence, N. D. & Rattray, M., Nov 2006, In : Bioinformatics. 22, 22, p. 2775-2781 7 p.

    Research output: Contribution to journalArticle

  14. Event-related fMRI of word classification and successful word recognition in subjects at genetically enhanced risk of schizophrenia

    Whyte, M-C., Whalley, H. C., Simonotto, E., Flett, S., Shillcock, R., Marshall, I., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., Oct 2006, In : Psychological Medicine. 36, 10, p. 1427-39 13 p.

    Research output: Contribution to journalArticle

  15. Functional imaging as a predictor of schizophrenia

    Whalley, H. C., Simonotto, E., Moorhead, W., McIntosh, A., Marshall, I., Ebmeier, K. P., Owens, D. G. C., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., 1 Sep 2006, In : Biological Psychiatry. 60, 5, p. 454-62 9 p.

    Research output: Contribution to journalArticle

  16. Local Training and Belief Propagation

    Sutton, C. & Minka, T., Aug 2006, Microsoft Research, 10 p. (Microsoft Research Technical Reports; no. MSR-TR-2006-121).

    Research output: Working paper

  17. Basic Integrated Modelling: A Case Study

    Salgado, M. E. & Oyarzún, D. R., 1 Jul 2006, In : International Journal of Electrical Engineering Education. 43, 3, p. 217-231 15 p.

    Research output: Contribution to journalArticle

  18. A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription

    Sanguinetti, G., Rattray, M. & Lawrence, N. D., Jul 2006, In : Bioinformatics. 22, 14, p. 1753-1759 7 p.

    Research output: Contribution to journalArticle

  19. Reducing Weight Undertraining in Structured Discriminative Learning

    Sutton, C., Sindelar, M. & McCallum, A., 1 Jun 2006, Proceedings of the Human Language Technology Conference of the NAACL, Main Conference. New York City, USA: Association for Computational Linguistics, p. 89-95 7 p.

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

  20. Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields

    Pal, C., Sutton, C. & McCallum, A., 1 May 2006, Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on. Institute of Electrical and Electronics Engineers (IEEE), Vol. 5. p. 581-584 4 p.

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

  21. A regularized discriminative model for the prediction of protein–peptide interactions

    Lehrach, W. P., Husmeier, D. & Williams, C. K. I., Mar 2006, In : Bioinformatics. 22, 5, p. 532-540 9 p.

    Research output: Contribution to journalArticle

  22. Excitability changes that complement Hebbian learning.

    Janowitz, M. K. & van Rossum, M. C. W., Mar 2006, In : Network: Computation in Neural Systems. 17, 1, p. 31 - 41

    Research output: Contribution to journalArticle

  23. Propagating uncertainty in microarray data analysis

    Rattray, M., Liu, X., Sanguinetti, G., Milo, M. & Lawrence, N. D., Mar 2006, In : Briefings in bioinformatics. 7, 1, p. 37-47 11 p.

    Research output: Contribution to journalArticle

  24. The proteomes of neurotransmitter receptor complexes form modular networks with distributed functionality underlying plasticity and behaviour

    Pocklington, A. J., Cumiskey, M., Armstrong, J. D. & Grant, S. G. N., 17 Jan 2006, In : Molecular Systems Biology. 2, 14 p., 2006.0023.

    Research output: Contribution to journalArticle

  25. The optimal synapse for sparse, binary signals in the rod pathway: Neural Computation

    Clark, P. T. & van Rossum, M. C. W., Jan 2006, In : Neural Computation. 18, 1, p. 26-44 19 p.

    Research output: Contribution to journalArticle

  26. A pragmatic Bayesian approach to predictive uncertainty

    Murray, I. & Snelson, E., 2006, Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Textual Entailment.: First PASCAL Machine Learning Challenges Workshop, Southampton, UK, April 11--13, 2005, Revised Selected Papers.. Quiñonero-Candela, J., Dagan, I., Magnini, B. & D'Alché-Buc, F. (eds.). Springer-Verlag GmbH, (Lecture Notes in Computer Science).

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

  27. Analysis of mouse EphA knockins and knockouts suggests that retinal axons programme target cells to form ordered retinotopic maps

    Willshaw, D., 2006, In : Development. 133, 14, p. 2705-2717 13 p.

    Research output: Contribution to journalArticle

  28. Automated assessment of tract similarity in group diffusion MRI data

    Clayden, J. D., Bastin, M. & Storkey, A., 2006, Proceedings of the ISMRM, 14th Scientific Meeting Exhibition, Seattle.

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

  29. 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)

  30. Dataset Issues in Object Recognition

    Ponce, J., Berg, T. L., Everingham, M., Forsyth, D. A., Hebert, M., Lazebnik, S., Marszalek, M., Schmid, C., Russell, B. C., Torralba, A., Williams, C. K. I., Zhang, J. & Zisserman, A., 2006, Toward Category-Level Object Recognition. Ponce, J., Hebert, M., Schmid, C. & Zisserman, A. (eds.). Springer Berlin Heidelberg, p. 29-48 20 p. (Lecture Notes in Computer Science; vol. 4170).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  31. Establishing an Appropriate Learning Bias Through Development

    Valsalam, V. K., Bednar, J. A. & Miikkulainen, R., 2006, Proceedings of the Fifth International Conference on Development and Learning (ICDL-2006).

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

  32. Extracting Motion Primitives from Natural Handwriting Data

    Williams, B. H., Toussaint, M. & Storkey, A. J., 2006, Artificial Neural Networks – ICANN 2006. Kollias, S., Stafylopatis, A., Duch, W. & Oja, E. (eds.). Springer-Verlag Berlin Heidelberg, p. 634-643 (Lecture Notes in Computer Science; vol. 4132).

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

  33. Factorial switching Kalman filters for condition monitoring in neonatal intensive care

    Williams, C. K. I., Quinn, J. & McIntosh, N., 2006, Advances in Neural Information Processing Systems 18. MIT Press, p. 1513-1520 8 p.

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

  34. Functional conservation of Pax6 regulatory elements in humans and mice demonstrated with a novel transgenic reporter mouse

    Tyas, D. A., Simpson, T. I., Carr, C. B., Kleinjan, D. A., van Heyningen, V., Mason, J. O. & Price, D., 2006, In : BMC Developmental Biology. 6, 11 p., 21.

    Research output: Contribution to journalArticle

  35. Gaussian processes for machine learning

    Rasmussen, C. E. & Williams, C. K. I., 2006, MIT Press. 272 p.

    Research output: Book/ReportBook

  36. Generation of time delays: simplified models of intracellular signalling in cerebellar Purkinje cells

    Steuber, V., Willshaw, D. & Van Ooyen, A., 2006, In : Network: Computation in Neural Systems. 17, 2, p. 173-91 19 p.

    Research output: Contribution to journalArticle

  37. Gravitaxis in Drosophila melanogaster: a forward genetic screen

    Armstrong, J. D., Texada, M. J., Munjaal, R., Baker, D. A. & Beckingham, K. M., 2006, In : Genes Brain and Behavior. 5, 3, p. 222-239 18 p.

    Research output: Contribution to journalArticle

  38. Identifying Submodules of Cellular Regulatory Networks

    Sanguinetti, G., Rattray, M. & Lawrence, N. D., 2006, Computational Methods in Systems Biology. Priami, C. (ed.). Springer Berlin Heidelberg, p. 155-168 14 p. (Lecture Notes in Computer Science; vol. 4210).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  39. Improved segmentation reproducibility in group tractography using a quantitative tract similarity measure

    Clayden, J. D., Bastin, M. E. & Storkey, A. J., 2006, In : NeuroImage. 33, 2, p. 482-92 11 p.

    Research output: Contribution to journalArticle

  40. Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1

    Bednar, J. A. & Miikkulainen, R., 2006, In : Neurocomputing. 69, p. 1272-1276 5 p.

    Research output: Contribution to journalArticle

  41. Learning structural equation models for fMRI

    Simonotto, E., Whalley, H., Lawrie, S., Murray, L., Mcgonigle, D. & Storkey, A. J., 2006, Advances in Neural Information Processing Systems 19 (NIPS 2006). MIT Press, p. 1329-1336 8 p.

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

  42. Long-range downstream enhancers are essential for Pax6 expression

    Kleinjan, D. A., Seawright, A., Mella, S., Carr, C. B., Tyas, D. A., Simpson, I., Mason, J. O., Price, D. J. & van Heyningen, V., 2006, In : Developmental Biology. 299, 2, p. 563-81 19 p.

    Research output: Contribution to journalArticle

  43. MCMC for doubly-intractable distributions

    Murray, I., Ghahramani, Z. & MacKay, D. J. C., 2006, Proceedings of the 22nd Annual Conference on Uncertainty in Artificial Intelligence (UAI-06). AUAI Press, p. 359-366 8 p.

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

  44. Missing Data in Kernel PCA

    Sanguinetti, G. & Lawrence, N. D., 2006, Machine Learning: ECML 2006: 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings. Fürnkranz, J., Scheffer, T. & Spiliopoulou, M. (eds.). Springer Berlin Heidelberg, p. 751-758 8 p. (Lecture Notes in Computer Science; vol. 4212).

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

  45. Modelling transcriptional regulation using Gaussian processes

    Lawrence, N. D., Sanguinetti, G. & Rattray, M., 2006, Advances in Neural Information Processing Systems. p. 785-792 8 p.

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

  46. Motion aftereffects in a self-organizing model of the primary visual cortex

    Ball, C. & Bednar, J., 2006, p. 34.

    Research output: Contribution to conferencePoster

  47. Neighbourhood tractography: a new approach to seed point placement for fibre tracking

    Clayden, J. D., Bastin, M. & Storkey, A., 2006, Proceedings of the British Chapter of the ISMRM, Guildford, UK.

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

  48. Nested sampling for Potts models

    Murray, I., MacKay, D. J. C., Ghahramani, Z. & Skilling, J., 2006, Advances in Neural Information Processing Systems 18. Weiss, Y., Schölkopf, B. & Platt, J. (eds.). Cambridge, MA: MIT Press, p. 947-954 8 p.

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

  49. On the extension of eigenvectors to new datapoints

    Williams, C. K. I., 2006, p. 1-3, 3 p.

    Research output: Working paper

  50. Organization of brain complexity--synapse proteome form and function

    Pocklington, A. J., Armstrong, J. D. & Grant, S. G. N., 2006, In : Briefings in functional genomics & proteomics. 5, 1, p. 66-73 8 p.

    Research output: Contribution to journalArticle

  51. Penetrance of eye defects in mice heterozygous for mutation of Gli3 is enhanced by heterozygous mutation of Pax6

    Zaki, P. A., Collinson, J. M., Toraiwa, J., Simpson, T. I., Price, D. & Quinn, J. C., 2006, In : BMC Developmental Biology. 6, 11 p., 46.

    Research output: Contribution to journalArticle

  52. Predicting Ambulance Diversion in an Adult Emergency Department using a Gaussian Process

    Leegon, J., Hoot, N., Aronsky, D. & Storkey, A., 2006, AMIA 2007 Symposium Proceedings. p. 1026 1 p.

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

  53. Predictive Search Distributions

    Bonilla, E. V., Williams, C. K. I., Agakov, F., Cavazos, J., Thomson, J. & O'Boyle, M., 2006, ICML '06 Proceedings of the 23rd international conference on Machine learning. ACM, p. 121-128 8 p.

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

  54. Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1

    Jegelka, S., Bednar, J. A. & Miikkulainen, R., 2006, In : Neurocomputing. 69, p. 1291-1296 6 p.

    Research output: Contribution to journalArticle

  55. Principled Hybrids of Generative and Discriminative Models

    Lasserre, J. A., Bishop, C. & Minka, T. P., 2006, Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on. Institute of Electrical and Electronics Engineers (IEEE), Vol. 1. p. 87-94 8 p.

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

  56. Probabilistic in silico prediction of protein-peptide interactions

    Lehrach, W. P., Husmeier, D. & Williams, C. K. I., 2006, Systems Biology and Regulatory Genomics: Joint Annual RECOMB 2005 Satellite Workshops on Systems Biology and on Regulatory Genomics, San Diego, CA, USA; December 2-4, 2005, Revised Selected Papers. Springer Berlin Heidelberg, p. 188-197 10 p. (Lecture Notes in Computer Science; vol. 4023).

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

  57. Probabilistic inference for solving discrete and continuous state Markov Decision Processes

    Toussaint, M. & Storkey, A., 2006, ICML '06 Proceedings of the 23rd international conference on Machine learning. ACM, p. 945-952 8 p.

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

  58. Reconstructing protein complexes: From proteomics to systems biology

    Armstrong, J. D., Pocklington, A. J., Cumiskey, M. A. & Grant, S. G. N., 2006, In : Proteomics. 6, 17, p. 4724-4731 8 p.

    Research output: Contribution to journalArticle

  59. Sequential Learning of Layered Models from Video

    Titsias, M. K. & Williams, C. K. I., 2006, Toward Category-Level Object Recognition. Ponce, J., Hebert, M., Schmid, C. & Zisserman, A. (eds.). Springer Berlin Heidelberg, Vol. V. p. 577-595 19 p. (Lecture Notes in Computer Science; vol. 4170).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  60. Studying neuronal function using the Drosophila genetic system

    Armstrong, D. & Goodwin, S. F., 2006, Molecular Biology of the Neuron. p. 1-14 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  61. Suboptimal triangular controller design methodology for full MIMO stable systems

    Oyarzun, DA. & Salgado, M. E., 2006, Proceedings of the UKACC Conference. Glasgow, UK, 6 p.

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

  62. The 2005 PASCAL visual object classes challenge

    Everingham, M., Zisserman, A., Williams, C. K. I., Van Gool, L., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorko, G., Duffner, S., Eichhorn, J., Farquhar, J. D. R., Fritz, M., Garcia, C., Griffiths, T., Jurie, F., Keysers, D., Koskela, M., Laaksonen, J. & 14 others, Larlus, D., Leibe, B., Meng, H., Ney, H., Schiele, B., Schmid, C., Seemann, E., Shawe-Taylor, J., Storkey, A., Szedmak, S., Triggs, B., Ulusoy, I., Viitaniemi, V. & Zhang, J., 2006, Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment . Quinonero-Candela, J., Dagan, Magnini, B. & D'Alche-Buc, F. (eds.). Berlin: Springer-Verlag Berlin Heidelberg, p. 117-176 60 p. (Lecture Notes in Computer Science; vol. 3944).

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

  63. The PASCAL visual object classes challenge 2006 (VOC2006) results

    Everingham, M., Zisserman, A., Williams, C. K. I. & Van Gool, L., 2006, 57 p.

    Research output: Working paper

  64. Using Machine Learning to Focus Iterative Optimization

    Agakov, F., Bonilla, E., Cavazos, J., Franke, B., Fursin, G., O'Boyle, M. F. P., Thomson, J., Toussaint, M. & Williams, C. K. I., 2006, Proceedings of the International Symposium on Code Generation and Optimization. Washington, DC, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 295-305 11 p. (CGO '06).

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

  65. 2005
  66. Novel cell based on reduced single-phase active front end for multicell converters

    Lezana, P., Rodriguez, J., Rojas, D. & Pontt, J., 1 Nov 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005.. p. 733-738 6 p.

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

  67. Covariance Functions

    Rasmussen, C. E. & Williams, C. K. I., Nov 2005, Gaussian Processes for Machine Learning. Rasmussen, C. E. & Williams, C. K. I. (eds.). MIT Press, p. 79-102 24 p. (Adaptive Computation and Machine Learning series).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  68. Model Selection and Adaptation of Hyperparameters

    Rasmussen, C. E. & Williams, C. K. I., Nov 2005, Gaussian Processes for Machine Learning. Rasmussen, C. E. & Williams, C. K. I. (eds.). MIT Press, p. 105-128 24 p. (Adaptive Computation and Machine Learning series).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  69. Composition of Conditional Random Fields for Transfer Learning

    Sutton, C. & McCallum, A., 1 Oct 2005, Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing. Vancouver, British Columbia, Canada: Association for Computational Linguistics, p. 748-754 7 p.

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

  70. Automatic Determination of the Number of Clusters Using Spectral Algorithms

    Sanguinetti, G., Laidler, J. & Lawrence, N. D., 1 Sep 2005, Machine Learning for Signal Processing, 2005 IEEE Workshop on. Institute of Electrical and Electronics Engineers (IEEE), p. 55-60 6 p.

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

  71. Functional disconnectivity in subjects at high genetic risk of schizophrenia

    Whalley, H. C., Simonotto, E., Marshall, I., Owens, D. G. C., Goddard, N. H., Johnstone, E. C. & Lawrie, S. M., Sep 2005, In : Brain. 128, Pt 9, p. 2097-108 12 p.

    Research output: Contribution to journalArticle

  72. Accounting for probe-level noise in principal component analysis of microarray data

    Sanguinetti, G., Milo, M., Rattray, M. & Lawrence, N. D., Aug 2005, In : Bioinformatics. 21, 19, p. 3748-3754 7 p.

    Research output: Contribution to journalArticle

  73. Joint Parsing and Semantic Role Labeling

    Sutton, C. & McCallum, A., 1 Jun 2005, Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005). Ann Arbor, Michigan: Association for Computational Linguistics, p. 225-228 4 p.

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

  74. 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

  75. Dynamic competition between contour integration and contour segmentation probed with moving stimuli

    Lorenceau, J., Giersch, A. & Seriés, P., 1 Jan 2005, In : Vision Research. 45, 1, p. 103-116

    Research output: Contribution to journalArticle

  76. How to pretend that correlated variables are independent by using difference observations

    Williams, C. K. I., Jan 2005, In : Neural Computation. 17, 1, p. 1-6 6 p.

    Research output: Contribution to journalArticle

  77. Computational Maps in the Visual Cortex

    Miikkulainen, R., Bednar, J., Choe, Y. & Sirosh, J., 2005, New York: Springer New York.

    Research output: Book/ReportBook

  78. Constructing Good Learners Using Evolved Pattern Generators

    Valsalam, V., Bednar, J. & Miikkulainen, R., 2005, Proceedings of the 7th Annual Conference on Genetic and Evolutionary Computation. New York, NY, USA: ACM, p. 11-18 8 p. (GECCO '05).

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

  79. 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)

  80. Differences of split and non-split architectures emerged from modelling Chinese character pronunciation

    Hsiao, J. H. & Shillcock, R., 2005, Proceedings of the Twenty Seventh Annual Conference of the Cognitive Science Society. p. 989-994 6 p.

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

  81. Drosophila melanogaster: The model organism of choice for the complex biology of multicellular organisms

    Beckingham, K. M., Armstrong, D., Texada, M. J., Munjaal, R. & Baker, D. A., 2005, In : Gravitational and Space Biology. 18, 2

    Research output: Contribution to journalArticle

  82. Fast Learning of Sprites using Invariant

    Allan, M., Titsias, M. K. & Williams, C. K. I., 2005, Proceedings of the British Machine Vision Conference 2005. BMVA Press, 10 p.

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

  83. Fast, Piecewise Training for Discriminative Finite-state and Parsing Models

    Sutton, C. & McCallum, A., 2005, Center for Intelligent Information Retrieval, 8 p. (Center for Intelligent Information Retrieval Technical Reports; no. IR-403).

    Research output: Working paper

  84. Female receptivity phenotype of icebox mutants caused by a mutation in the L1-type cell adhesion molecule neuroglian

    Carhan, A., Allen, F., Armstrong, J. D., Goodwin, S. F. & O'Dell, K. M. C., 2005, In : Genes Brain and Behavior. 4, 8, p. 449-465 17 p.

    Research output: Contribution to journalArticle

  85. FlyTracker: Real-time analysis of insect courtship

    Heward, J. A., Baker, D. A., Lukins, T. C. & Armstrong, D., 2005, 5th International Conference on Methods and Techniques in Behavioral Research.

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

  86. Genetics of Graviperception in Animals

    Beckingham, K. M., Texada, M. J., Baker, D. A., Munjaal, R. & Armstrong, J. D., 2005, In : Advances in genetics. 55, p. 105-145 41 p.

    Research output: Contribution to journalArticle

  87. Harmonising chorales by probabilistic inference

    Allan, M. & Williams, C. K. I., 2005, Advances in Neural Information Processing Systems 17 (NIPS 2004). MIT Press, p. 25-32 8 p.

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

  88. Improved numberical methods for computing likelihoods in the stochastic integrate-and-fire model

    Paninski, L., Haith, A. M., Pillow, J. W. & Williams, C. K. I., 2005.

    Research output: Contribution to conferencePoster

  89. Learning in Markov Random Fields with Contrastive Free Energies

    Welling, M. & Sutton, C., 2005, Tenth International Workshop on Artificial Intelligence and Statistics. 8 p.

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

  90. MIMO INTERACTIONS IN SAMPLED DATA SYSTEMS

    Brocal, M. S. & Oyarzún, D. R., 2005, In : IFAC Proceedings Volumes (IFAC-PapersOnline). 38, 1, p. 119 - 124 6 p.

    Research output: Contribution to journalArticle

  91. Modeling the visual cortex using the Topographica cortical map simulator

    Bednar, J., Choe, Y., De Paula, J., Miikkulainen, R. & Provost, J., 2005.

    Research output: Contribution to conferencePoster

  92. Object Recognition via Local Patch Labelling

    Bishop, C. & Ulusoy, I., 2005, Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures. Winkler, J., Niranjan, M. & Lawrence, N. (eds.). Springer Berlin Heidelberg, Vol. 3635. p. 1-21 21 p. (Lecture Notes in Computer Science).

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

  93. Piecewise Training for Undirected Models

    Sutton, C. & McCallum, A., 2005, Proceedings of the Twenty-First Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-05). Arlington, Virginia: AUAI Press, p. 568-575 8 p.

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

  94. Regulation of the Pax6: Pax6(5a) mRNA ratio in the developing mammalian brain

    Pinson, J., Mason, J. O., Simpson, T. I. & Price, D., 2005, In : BMC Developmental Biology. 5, 4 p., 13.

    Research output: Contribution to journalArticle

  95. Sex, Flies and no Videotape

    Armstrong, D., Baker, D. A., Heward, J. A. & Lukins, T. C., 2005, 5th International Conference on Methods and Techniques in Behavioral Research.

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

  96. Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2

    Hyvärinen, A., Gutmann, M. & Hoyer, P. O., 2005, In : BMC Neuroscience. 6, 1, p. 1-12 12 p.

    Research output: Contribution to journalArticle

  97. Statistical models of images and early vision

    Hyvärinen, A., Hoyer, P. O., Hurri, J. & Gutmann, M., 2005, Proc. of the International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR). p. 1-14 14 p.

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