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 Chapter (peer-reviewed) › Research › Not peer-reviewed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)

  13. Modeling Self-Organization in the Visual Cortex

    Miikkulainen, R., Bednar, J., Choe, Y. & Sirosh, J., 1999, Kohonen Maps. Oja, E. & Kaski, S. (eds.). ELSEVIER SCIENCE PUBL B V, p. 243-252

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

  14. 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)

  15. Reconstructing Models from Proteomics Data

    Zografos, L. A., Pocklington, A. & Armstrong, D., 2012, Computational Systems Neurobiology. Le Novère, N. (ed.). Springer Netherlands, Vol. VIII. p. 23-80

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

  16. 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)

  17. Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals

    Delis, I., Onken, A. & Panzeri, S., 21 Mar 2018, Mathematical and Theoretical Neuroscience. Springer, Cham, p. 223-237 (INdAM Series; vol. 24).

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

  18. The Role of Internally Generated Neural Activity in Newborn and Infant Face Preferences

    Bednar, J., 2003, The Development of Face Processing in Infancy and Early Childhood: Current Perspectives. Pascalis, O. & Slater, A. (eds.). Nova Science Publishers, p. 133-142

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

  19. Paper › Research › Peer-reviewed
  20. Amortized Inference for Latent Feature Models Using Variational Russian Roulette

    Xu, K., Srivastava, A. & Sutton, C., 2018. 11 p.

    Research output: Contribution to conferencePaper

  21. Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting

    Bekasovs, A. & Murray, I., 16 Nov 2018, (Accepted/In press) p. 1-6. 6 p.

    Research output: Contribution to conferencePaper

  22. Exploration by random network distillation

    Burda, Y., Edwards, H., Storkey, A. & Klimov, O., 2019. 17 p.

    Research output: Contribution to conferencePaper

  23. How to train your MAML

    Antoniou, A., Edwards, H. & Storkey, A., 2019. 11 p.

    Research output: Contribution to conferencePaper

  24. Interpretable Machine Teaching via Feature Feedback

    Su, S., Chen, Y., Mac Aodha, O., Perona, P. & Yue, Y., 9 Dec 2017. 9 p.

    Research output: Contribution to conferencePaper

  25. It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data

    Ruggero Ronchi, M., Mac Aodha, O., Eng, R. & Perona, P., 2 Sep 2018, p. 1-13. 13 p.

    Research output: Contribution to conferencePaper

  26. Large-Scale Study of Curiosity-Driven Learning

    Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T. & Efros, A. A., 2019. 15 p.

    Research output: Contribution to conferencePaper

  27. On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

    Jastrzębski, S., Kenton, Z., Ballas, N., Fischer, A., Bengio, Y. & Storkey, A., 2019. 19 p.

    Research output: Contribution to conferencePaper

  28. Sequential Neural Methods for Likelihood-free Inference

    Durkan, C., Papamakarios, G. & Murray, I., 2018, p. 1-9. 9 p.

    Research output: Contribution to conferencePaper

  29. To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions

    Lopez Guevara, T., Pucci, R., Taylor, N., Gutmann, M., Ramamoorthy, S. & Subr, K., 2018. 5 p.

    Research output: Contribution to conferencePaper

  30. Poster › Research › Not peer-reviewed
  31. A model of mechanotransduction in Drosophila non-ciliated, primary endings

    Suslak, T., McKay-Fletcher, J. A., Bewick, G., Armstrong, D. & Jarman, A., 2013.

    Research output: Contribution to conferencePoster

  32. Classification of Animal Behaviour Using Dynamic Models of Movement

    Dewar, M. A., Lukins, T. C., Heward, J. A. & Armstrong, D., 2008.

    Research output: Contribution to conferencePoster

  33. Determining synaptic input properties from intra-cellular recordings in vivo

    Pelko, M., Puggioni, P., Van Rossum, M. & Bouscein, C., 2012.

    Research output: Contribution to conferencePoster

  34. Poster › Research › Peer-reviewed
  35. A Biophysical model of long-term potentiation and synaptic tagging

    Barrett, A., Billings, G., Morris, R. G. M. & van Rossum, M. C. W., 2007.

    Research output: Contribution to conferencePoster

  36. A Systems Biological Approach to Parkinson's Disease

    Heil, K., Sorokina, O. & Armstrong, D., 2014.

    Research output: Contribution to conferencePoster

  37. A model of mechanotransduction in Drosophila non-ciliated, primary endings

    Suslak, T., Bewick, G., Armstrong, D. & Jarman, A., 2013.

    Research output: Contribution to conferencePoster

  38. A population code for sound locations in the auditory cortex

    Razak, K., Seitz, A. R., Yarrow, S. & Series, P., Jun 2010.

    Research output: Contribution to conferencePoster

  39. A roles for ratios? How ion channel densities could define neuronal firing properties

    Hull, M., Willshaw, D., Winlove, C. & Roberts, A., 2010.

    Research output: Contribution to conferencePoster

  40. A rule-based model of Clathrin Mediated Endocytosis: Gaining a better understanding of Parkinson's Disease

    Heil, K., Sorokina, O., Hellgren-kotaleski, J. & Armstrong, J. D., 5 Jul 2015.

    Research output: Contribution to conferencePoster

  41. A systems biological approach to Parkinson's disease

    Heil, K. F., Sorokina, O. & Armstrong, J. D., Nov 2014.

    Research output: Contribution to conferencePoster

  42. A temporal model of neural activity and VSD response in V1

    Stevens, J-L. & Bednar, J., 2012.

    Research output: Contribution to conferencePoster

  43. Beyond correlations in MEA recordings - how far can we go?

    Panas, D., Maccione, A., Berdondini, L. & Hennig, M., 2011.

    Research output: Contribution to conferencePoster

  44. Bioluminescence-based approach to monitor neural activity in freely moving Drosophilalarvae

    Marescotti, M., Lagogiannis, K., Davies, W., Webb, B. & Armstrong, J. D., Oct 2016. 1 p.

    Research output: Contribution to conferencePoster

  45. Bioluminescence-based approach to monitor neural activity in freely moving Drosophilalarvae

    Marescotti, M., Lagogiannis, K., Davies, W., Webb, B. & Armstrong, J. D., Sep 2016. 1 p.

    Research output: Contribution to conferencePoster

  46. BrainTrap: The Fly Brain Protein Trap Database

    Knowles-Barley, S., Longair, M. & Armstrong, D., 2009.

    Research output: Contribution to conferencePoster

  47. Complexity and specificity of experimentally induced expectations in motion perception

    Gekas, N., Chalk, M., Seitz, A. R. & Seriès, P., 1 Jan 2013, p. 355. 1 p.

    Research output: Contribution to conferencePoster

  48. Contrast dependent response latency in a spiking neural network

    York, L. C., Oram, M. & van Rossum, M. C. W., 2007.

    Research output: Contribution to conferencePoster

  49. Deep multimodal autoencoders for identifying latent representations of spike counts and local field potentials

    Onken, A., Yague, J. & Sakata, S., 27 Sep 2018.

    Research output: Contribution to conferencePoster

  50. Dendritic spines as devices for synaptic metaplasticity

    O'Donnell, C., Nolan, M. & van Rossum, M. C. W., 2009.

    Research output: Contribution to conferencePoster

  51. Dendritic spines can stabilize synaptic weights

    O'Donnell, C., Nolan, M. & van Rossum, M. C. W., 2010.

    Research output: Contribution to conferencePoster

  52. Detecting and Quantifying Topographic Order in the Brain

    Yarrow, S., Razak, K., Seitz, A. R. & Series, P., 2013.

    Research output: Contribution to conferencePoster

  53. Developing maps of complex cells in a computational model

    Antolik, J. & Bednar, J., 13 Jul 2008.

    Research output: Contribution to conferencePoster

  54. Developing maps of complex cells in a computational model of V1

    Antolik, J. & Bednar, J., 19 Nov 2008.

    Research output: Contribution to conferencePoster

  55. Different binocular foveal strategies in reading: younger and older readers

    Paul, S. A., Obregón, M. & Shillcock, R., 1 Aug 2013.

    Research output: Contribution to conferencePoster

  56. Fisher and Shannon Information in Finite Neural Populations

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

    Research output: Contribution to conferencePoster

  57. Fisher and Shannon information in finite neural populations

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

    Research output: Contribution to conferencePoster

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

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

    Research output: Contribution to conferencePoster

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

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

    Research output: Contribution to conferencePoster

  60. How plastic is the "slow speeds prior"?

    Sotiropoulos, G., Seitz, A. & Series, P., 2012.

    Research output: Contribution to conferencePoster

  61. How relative stability between visual cues affects cue control of CA1 place cells

    Huang, Y-C. S., Dudchenko, P. A., van Rossum, M. C. W. & Wood, E., 2008.

    Research output: Contribution to conferencePoster

  62. ImaGen: Generic library for 0D, 1D and 2D pattern distributions

    Bednar, J. A. & Ball, C. E., 2012.

    Research output: Contribution to conferencePoster

  63. 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

  64. Inter-Individual behavioural traits shape performances in decision making

    Valton, V., Marchand, A., Dellu-Hagedom, F. & Series, P., 2010.

    Research output: Contribution to conferencePoster

  65. Learning analytics adoption – approaches and maturity

    Tsai, Y-S., Kovanović, V. & Gasevic, D., 3 Jan 2019, (Accepted/In press). 2 p.

    Research output: Contribution to conferencePoster

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