Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring

    Quinn, J. A., Williams, C. K. I. & McIntosh, N., 2009, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 31, 9, p. 1537-1551 15 p.

    Research output: Contribution to journalArticle

  2. 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

  3. 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

  4. Fast Propagation of Firing Rates through Layered Networks of Noisy Neurons

    van Rossum, M. C. W., Turrigiano, G. G. & Nelson, S. B., 2002, In : The Journal of Neuroscience. 22, 5, p. 1956-1966 11 p.

    Research output: Contribution to journalArticle

  5. Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation

    Papamakarios, G. & Murray, I., 10 Dec 2016, 30th Conference on Neural Information Processing Systems (NIPS 2016). Barcelona, Spain: Curran Associates Inc, p. 1028-1036 9 p.

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

  6. 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

  7. Feedback Inhibition Enables Theta-Nested Gamma Oscillations and Grid Firing Fields

    Pastoll, H., Solanka, L., van Rossum, M. C. W. & Nolan, M. F., 9 Jan 2013, In : Neuron. 77, 1, p. 141-154 14 p.

    Research output: Contribution to journalArticle

  8. 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

  9. Fisher and Shannon Information in Finite Neural Populations

    Yarrow, S., Challis, E. & Seriès, P., 19 Mar 2012, In : Neural Computation. 24, 7, p. 1740-1780 41 p.

    Research output: Contribution to journalArticle

  10. Fisher and Shannon Information in Finite Neural Populations

    Yarrow, S. & Series, P., Feb 2012. 1 p.

    Research output: Contribution to conferencePoster

  11. Fisher and Shannon information in finite neural populations

    Yarrow, S. & Series, P., Apr 2011.

    Research output: Contribution to conferencePoster

  12. Fisher vs Shannon information in Populations of Neurons

    Challis, E. A. L., Series, P. & Yarrow, S., 1 Oct 2008, Deuxième conférence francaise de Neurosciences Computationnelles, "Neurocomp08".

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

  13. Flexible theta sequence compression mediated via phase precessing interneurons

    Chadwick, A., van Rossum, M. C. & Nolan, M. F., 8 Dec 2016, In : eLIFE. 5

    Research output: Contribution to journalArticle

  14. Fluctuations in the open time of synaptic channels: An application to noise analysis based on charge

    Feldwisch-Drentrup, H., Barrett, A., Smith, M. T. & Rossum, M. V., 2012, In : Journal of Neuroscience Methods. 210, 1, p. 15-21 7 p.

    Research output: Contribution to journalArticle

  15. Fluid consumption and taste novelty determines transcription temporal dynamics in the gustatory cortex

    Inberg, S., Jacob, E., Elkobi, A., Edry, E., Rappaport, A., Simpson, T. I., Armstrong, J. D., Shomron, N., Pasmanik-Chor, M. & Rosenblum, K., 9 Feb 2016, In : Molecular Brain. 9, 1, p. 1-11 11 p.

    Research output: Contribution to journalArticle

  16. Flux-dependent graphs for metabolic networks

    Beguerisse-Díaz, M., Bosque, G., Oyarzún, D., Picó, J. & Barahona, M., 14 Aug 2018, In : npj Systems Biology and Applications. 4, 1, 14 p., 32.

    Research output: Contribution to journalArticle

  17. 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

  18. Flytracker

    Armstrong, D., Baker, D. A. & Heward, J. A., 2008, Patent No. PCT/GB06/001113

    Research output: Patent

  19. Following The Assembly Of Functional Circuitry: High Resolution Large-Scale Population Neuronal Dynamics In The Neonatal Mouse Retina In Health And Disease

    Sernagor, E., Hennig, M., Gandolfo, M., Down, M., Jones, A., Eglen, S. & Berdondini, L., 2012, 8th Int. Meeting on Substrate-Integrated Microelectrodes. BIOPRO Baden-Württemberg GmbH

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

  20. Following the Ontogeny of Retinal Waves: Pan-Retinal Recordings of Population Dynamics in the Neonatal Mouse

    Maccione, A., Hennig, M. H., Gandolfo, M., Muthmann, O., van Coppenhagen, J., Eglen, S. J., Berdondini, L. & Sernagor, E., 2014, In : Journal of Physiology. 592, 8, p. 1545-1563

    Research output: Contribution to journalArticle

  21. Four letters good, six letters better: Exploring the exterior letters effect with a split architecture

    Hicks, J., Oberlander, J. & Shillcock, R., 2000, Proceedings of the 22nd Annual Conference of the Cognitive Science Society. Gleitman, L. R. & Joshi, A. K. (eds.). Lawrence Erlbaum Associates, p. 681-686 6 p. (Cognitive Science Society).

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

  22. Foveational complexity in single word identification: Contralateral visual pathways are advantaged over ipsilateral pathways

    Obregón, M. & Shillcock, R., 2012, In : Neuropsychologia. 50, 14, p. 3279–3283

    Research output: Contribution to journalArticle

  23. Frequency-dependent selection in vaccine-associated pneumococcal population dynamics

    Corander, J., Fraser, C., Gutmann, M. U., Arnold, B., Hanage, W. P., Bentley, S. D., Lipsitch, M. & Croucher, N. J., 16 Oct 2017, In : Nature Ecology & Evolution. 2017, 11 p.

    Research output: Contribution to journalArticle

  24. From Phonemes to Articulatory Codes: An fMRI Study of the Role of Broca's Area in Speech Production

    Papoutsi, M., de Zwart, J. A., Jansma, J. M., Pickering, M. J., Bednar, J. A. & Horwitz, B., Sep 2009, In : Cerebral Cortex. 19, 9, p. 2156-2165 10 p.

    Research output: Contribution to journalArticle

  25. From intelligent machines to the human brain

    Series, P. & Sprevak, M., 30 Sep 2014, Philosophy and the Sciences for Everyone. Massimi, M. (ed.). Routledge, p. 86-102 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  26. Functional analysis of Casein Kinase 1 in a minimal circadian system

    van Ooijen, G., Hindle, M., Martin, S. F., Barrios-Llerena, M., Sanchez, F., Bouget, F-Y., O'Neill, J. S., Le Bihan, T. & Millar, A. J., 2013, In : PLoS ONE. 8, 7, e70021.

    Research output: Contribution to journalArticle

  27. Functional analysis of the rodent CK1tau mutation in the circadian clock of a marine unicellular alga

    van Ooijen, G., Martin, S. F., Barrios-Llerena, M. E., Hindle, M., Le Bihan, T., O'Neill, J. S. & Millar, A. J., 15 Oct 2013, In : BMC Cell Biology. 14, 1, 46.

    Research output: Contribution to journalArticle

  28. Functional characterisation of human synaptic genes expressed in the Drosophila brain

    Zografos, L., Tang, J., Hesse, F., Wanker, E. E., Li, K. W., Smit, A. B., Davies, R. W. & Armstrong, J. D., 15 May 2016, In : Biology Open. 5, 5, p. 662-667 6 p.

    Research output: Contribution to journalArticle

  29. Functional consequences of pre- and postsynaptic expression of 2 synaptic plasticity

    Costa, R. P., Mizusaki, B. E. P., Sjöström, P. J. & Van Rossum, M., 16 Jan 2017, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 372, 1715, p. 1-10 10 p.

    Research output: Contribution to journalArticle

  30. 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

  31. 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

  32. Functional dissection of the neural substrates for gravitaxic maze behavior in Drosophila melanogaster

    Baker, D., Beckingham, K. M. & Armstrong, J. D., 2007, In : Journal of Comparative Neurology. 501, 5, p. 756-764 9 p.

    Research output: Contribution to journalArticle

  33. 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

  34. Functional magnetic resonance imaging dataset analysis

    Goddard, N. H., Hood, G., Cohen, J. D., Nystrom, L. E., Eddy, W. F., Genovese, C. R. & Noll, D. C., 2000, Industrial strength parallel computing. Koniges, A. E. (ed.). Morgan Kaufman, p. 431-452 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  35. Fundamental Design Principles for Transcription-Factor-Based Metabolite Biosensors

    Mannan, A. A., Liu, D., Zhang, F. & Oyarzún, D. A., 20 Oct 2017, In : ACS Synthetic Biology. 6, 10, p. 1851-1859 9 p.

    Research output: Contribution to journalArticle

  36. Fundamentals and Recent Developments in Approximate Bayesian Computation

    Lintusaari, J., Gutmann, M., Dutta, R., Kaski, S. & Corander, J., 1 Jan 2017, In : Systematic biology. 66, 1, p. e66-e82 17 p.

    Research output: Contribution to journalArticle

  37. G2Cdb: the Genes to Cognition database

    Croning, M. D. R., Marshall, M. C., McLaren, P., Armstrong, J. D. & Grant, S. G. N., Jan 2009, In : Nucleic Acids Research. 37, p. D846-D851 6 p.

    Research output: Contribution to journalArticle

  38. GEMSEC: Graph Embedding with Self Clustering

    Rózemberczki, B., Davies, R., Sarkar, R. & Sutton, C., 27 Aug 2019, ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery (ACM), p. 65-72 8 p.

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

  39. GPU Computing for Neural Circuit Reconstruction

    Knowles-Barley, S. & Armstrong, J. D., Dec 2010, In : Journal of neurogenetics. 24, p. 42-42 1 p.

    Research output: Contribution to journalMeeting abstract

  40. GTM: A Principled Alternative to the Self-Organizing Map

    Bishop, C. M., Svensen, M. & Williams, C. K. I., 1997, Advances in Neural Information Processing Systems 9. MIT Press, p. 354-360 7 p.

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

  41. GTM: The generative topographic mapping

    Bishop, C. M., Svensén, M. & Williams, C. KI., Jan 1998, In : Neural Computation. 10, 1, p. 215-234 20 p.

    Research output: Contribution to journalArticle

  42. Gating Current

    Sterratt, D. C., 2015, Encyclopedia of Computational Neuroscience. Jaeger, D. & Jung, R. (eds.). Springer New York, p. 1270-1272 3 p.

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  43. Gaussian Processes and Fast Matrix-Vector Multiplies

    Murray, I., 2009, Numerical Mathematics in Machine Learning workshop at the 26th International Conference on Machine Learning (ICML 2009). 4 p.

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

  44. Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo

    Barber, D. & Williams, C. K. I., 1997, Advances in Neural Information Processing Systems 9. MIT Press, p. 340-346 7 p.

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

  45. Gaussian Regression and Optimal Finite Dimensional Linear Models

    Zhu, H., Williams, C. K. I., Rohwer, R., Morciniec, M. & Hammel, M., 1997, 20 p.

    Research output: Working paper

  46. Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria

    Järvenpää, M., Gutmann, M., Vehtari, A. & Marttinen, P., 13 Nov 2018, In : Annals of Applied Statistics. 12, 4, p. 2228-2251 24 p.

    Research output: Contribution to journalArticle

  47. Gaussian processes for machine learning

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

    Research output: Book/ReportBook

  48. Gaussian processes for switching regimes

    Storkey, A., 1998, ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Springer London, p. 621-626 6 p. (Perspectives in Neural Computing).

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

  49. Gene Network Reconstruction Using a Distributed Genetic Algorithm with a Backprop Local Search

    Cumiskey, M., Levine, J. & Armstrong, D., 2003, Applications of Evolutionary Computing: EvoWorkshops 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM Essex, UK, April 14–16, 2003 Proceedings. Cagnoni, S., Johnson, C., Cardalda, J., Marchiori, E., Corne, D., Meyer, J-A., Gottlieb, J., Middendorf, M., Guillot, A., Raidl, G. & Hart, E. (eds.). Springer Berlin Heidelberg, p. 177-181 5 p. (Lecture Notes in Computer Science; vol. 2611).

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

  50. Gene Regulatory Network Inference: An Introductory Survey

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer New York LLC, p. 1-23 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  51. Gene Regulatory Networks: Methods and Protocols

    Sanguinetti, G. (ed.) & Huynh-Thu, V. A. (ed.), 2019, Humana Press. 285 p. (Methods in Molecular Biology Series Volume; vol. 1883)

    Research output: Book/ReportBook

  52. Gene switching rate determines response to extrinsic perturbations in the self-activation transcriptional network motif

    De Franciscis, S., Caravagna, G., Mauri, G. & D’onofrio, A., 2016, In : Scientific Reports. 6, 15 p., 26980.

    Research output: Contribution to journalArticle

  53. 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

  54. Generating confidence intervals on biological networks

    Thorne, T. & Stumpf, M. P. H., 30 Nov 2007, In : BMC Bioinformatics. 8, 467.

    Research output: Contribution to journalArticle

  55. Generation of a 'Pax6 GFP reporter' transgenic mouse

    Tyas, D. A., Kleinjan, D. A., Simpson, T. I., van Heyningen, V., Mason, J. O. & Price, D. J., Nov 2002, In : Molecular Biology of the Cell. 13, Supplement, p. 519A-519A 1 p.

    Research output: Contribution to journalMeeting abstract

  56. 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

  57. Generative Ratio Matching Networks

    Srivastava, A., Xu, K., Gutmann, M. & Sutton, C., 20 Dec 2019, (Accepted/In press) Proceedings of the International Conference on Learning Representations 2020. 18 p.

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

  58. Genetic analysis of the Drosophila ellipsoid body neuropil: Organization and development of the central complex

    Renn, S. C. P., Armstrong, J. D., Yang, M., Wang, Z., An, X., Kaiser, K. & Taghert, P. H., 1999, In : Journal of neurobiology. 41, 2, p. 189-207 19 p.

    Research output: Contribution to journalArticle

  59. 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

  60. Genome-wide CRISPR screen Identifies Host Dependency Factors for Influenza A Virus Infection

    Li, B., Clohisey, S. M., Chia, B. S., Wang, B., Cui, A., Eisenhaure, T., Schweitzer, L. D., Hoover, P., Parkinson, N. J., Nachshon, A., Smith, N., Regan, T., Farr, D., Gutmann, M. U., Bukhari, S. I., Law, A., Sangesland, M., Gat-viks, I., Digard, P., Vasudevan, S. & 5 others, Lingwood, D., Dockrell, D. H., Doench, J. G., Baillie, J. K. & Hacohen, N., 9 Jan 2020, In : Nature Communications. 11, 1

    Research output: Contribution to journalArticle

  61. Geocoding of trees from street addresses and street-level images

    Laumer, D., Lang, N., van Doorn, N., Mac Aodha, O., Perona, P. & Dirk Wegner, J., 30 Apr 2020, In : ISPRS Journal of Photogrammetry and Remote Sensing. 162, p. 125-136 12 p.

    Research output: Contribution to journalArticle

  62. Geometric fluid approximation for general continuous-time Markov chains

    Michaelides, M., Hillston, J. & Sanguinetti, G., Sep 2019, In : Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 475, 2229, 25 p.

    Research output: Contribution to journalArticle

  63. Geppetto: a reusable modular open platform for exploring neuroscience data and models

    Cantarelli, M., Marin, B., Quintana, A., Earnshaw, M., Court, R., Gleeson, P., Dura-bernal, S., Silver, R. A. & Idili, G., 19 Oct 2018, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 373, 1758, p. 1-13 13 p.

    Research output: Contribution to journalArticle

  64. Gesturing at Architecture: Experiences & Issues with New Forms of Interaction

    Morgan, E., Gunes, H. & Harris, D., 2013, Proceedings Experiencing Interactivity in Public Spaces: Workshop at CHI'13. p. 117-121 5 p.

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

  65. Global Gene Regulation in Metabolic Networks

    Oyarzún, D. A. & Chaves, M., Jan 2011, In : IFAC Proceedings Volumes (IFAC-PapersOnline). 44, 1, p. 14838 - 14843

    Research output: Contribution to journalArticle

  66. Goals and resource constraints in CARMA

    Hillston, J., Georgoulas, A. & Piho, P., 9 May 2018, In : Electronic Notes in Theoretical Computer Science. 337, p. 155-172 18 p.

    Research output: Contribution to journalArticle

  67. Goldman-Hodgkin-Katz Equations

    Sterratt, D. C., 2015, Encyclopedia of Computational Neuroscience. Jaeger, D. & Jung, R. (eds.). Springer New York, p. 1300-1302 3 p.

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  68. Graphical modelling of molecular networks underlying sporadic inclusion body myositis

    Thorne, T., Fratta, P., Hanna, M. G., Cortese, A., Plagnol, V., Fisher, E. M. & Stumpf, M. P. H., 1 Jul 2013, In : Molecular BioSystems. 9, 7, p. 1736-1742 7 p.

    Research output: Contribution to journalArticle

  69. 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

  70. Greedy Learning of Binary Latent Trees

    Harmeling, S. & Williams, C. K. I., Jun 2011, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 33, 6, p. 1087-1097 11 p.

    Research output: Contribution to journalArticle

  71. 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

  72. Growth defects and loss-of-function in synthetic gene circuits

    Nikolados, E-M., Weisse, A., Ceroni, F. & Oyarzún, D., 1 Jun 2019, In : ACS Synthetic Biology. 8, 6, p. 1231−1240 10 p.

    Research output: Contribution to journalArticle

  73. Guided Incremental Construction of Belief Networks

    Sutton, C. A., Burns, B., Morrison, C. & Cohen, P. R., 2003, Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003. Proceedings. R. Berthold, M., Lenz, H-J., Bradley, E., Kruse, R. & Borgelt, C. (eds.). Springer-Verlag GmbH, p. 533-543 11 p. (Lecture Notes in Computer Science; vol. 2810).

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

  74. H2 optimal ripple-free deadbeat controller design

    Salgado, M. E., Oyarzún, D. A. & Silva, E. I., 2007, In : Automatica. 43, 11, p. 1961 - 1967 7 p.

    Research output: Contribution to journalArticle

  75. HOUDINI: Lifelong Learning as Program Synthesis

    Valkov, L., Chaudhari, D., Srivastava, A., Sutton, C. & Chaudhuri, S., 2018, Thirty-second Conference on Neural Information Processing Systems (NIPS 2018). Montreal, Canada, p. 1-12 12 p.

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

  76. Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model

    Reichert, D. P., Series, P. & Storkey, A., 2010, Advances in Neural Information Processing Systems 23. Vol. 23. p. 2020-2028 9 p.

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

  77. Handbook of Neural Computation

    Bishop, C. M., 1996, Handbook of Neural Computation. Oxford University Press

    Research output: Chapter in Book/Report/Conference proceedingChapter

  78. 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

  79. Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations

    Bishop, C. M. & Connor, J. W., 1 Jan 1990, In : Plasma physics and controlled fusion. 32, 3, p. 203-211 9 p.

    Research output: Contribution to journalArticle

  80. 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)

  81. Hemispheric dissociation and dyslexia in a computational model of reading

    Monaghan, P. & Shillcock, R., Dec 2008, In : Brain and Language. 107, 3, p. 185-193 9 p.

    Research output: Contribution to journalArticle

  82. Hierarchical Subquery Evaluation for Active Learning on a Graph

    Mac Aodha, O., Campbell, N. D. F., Kautz, J. & Brostow, G. J., 25 Sep 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 564-571 8 p.

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

  83. High resolution spatiotemporal analysis of mouse retinal waves during postnatal development

    Sernagor, E., Hennig, M., Maccione, A., Gandolfo, M., Down, M., van Coppenhagen, J., Eglen, S. & Berdondini, L., 2011, Proc. Society for Neuroscience Annual Meeting (SFN'11).

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

  84. Higher order methylation features for clustering and prediction in epigenomic studies

    Kapourani, A. & Sanguinetti, G., 1 Sep 2016, In : Bioinformatics. 33, 8, p. i405-i412 12 p.

    Research output: Contribution to journalArticle

  85. Higher rates of anxiety found in self-reported grapheme-colour synaesthetes

    Carmichael, D. A., Shillcock, R. & Simner, J., 2014.

    Research output: Contribution to conferencePoster

  86. Homeostasis in large networks of neurons through the Ising model - do higher order interactions matter?

    Panas, D., Maccione, A., Berdondini, L. & Hennig, M. H., 1 Jan 2013, In : BMC Neuroscience. 14, Suppl 1, p. P166

    Research output: Contribution to journalArticle

  87. Homeostasis of intrinsic excitability in hippocampal neurones: dynamics and mechanism of the response to chronic depolarization

    O'Leary, T., van Rossum, M. C. W. & Wyllie, D. J. A., Jan 2010, In : Journal of Physiology. 588, 1, p. 157-170 14 p.

    Research output: Contribution to journalArticle

  88. Homeostatic Plasticity in a Model of V1 Orientation Map Development.

    Law, J. S. & Bednar, J. A., 2007.

    Research output: Contribution to conferencePoster

  89. Homeostatic intrinsic plasticity, neural heterogeneity and memory maintenance

    Sweeney, Y., Hellgren-Kotaleski, J. & Hennig, M., Dec 2015, In : BMC Neuroscience. 16, 1, p. 1-2 2 p.

    Research output: Contribution to journalArticle

  90. Hopfield learning rule with high capacity storage of time-correlated patterns

    Storkey, A. & Valabregue, R., 9 Oct 1997, In : Electronics Letters. 33, 21, p. 1803-1804 2 p.

    Research output: Contribution to journalArticle

  91. Host-circuit interactions explain unexpected behavior of a gene circuit

    Boada, Y., Vignoni, A., Oyarzún, D. & Picó, J., 2018, In : IFAC-PapersOnLine. 51, 19, p. 86 - 89 4 p.

    Research output: Contribution to journalArticle

  92. How arbitrary is language?

    Monaghan, P., Shillcock, R. C., Christiansen, M. H. & Kirby, S., 19 Sep 2014, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 369, 1651, 12 p., 20130299.

    Research output: Contribution to journalArticle

  93. How biased are maximum entropy models?

    Macke, J. H., Murray, I. & Latham, P. E., 2011, Advances in Neural Information Processing Systems 24. Shawe-Taylor, J., Zemel, R. S., Bartlett, P., Pereira, F. C. N. & Weinberger, K. Q. (eds.). p. 2034-2042 9 p.

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

  94. How do meters mediate? Energy meters, boundary objects and household transitions in Australia and the United Kingdom

    Lovell, H., Pullinger, M. & Webb, J., 7 Sep 2017, In : Energy Research & Social Science. 34, p. 252-259 7 p.

    Research output: Contribution to journalArticle

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