King's College London

Research portal

Dr Michael Spratling

  1. More robust object tracking via shape and motion cue integration

    Gao, B. & Spratling, M., Oct 2022, In: SIGNAL PROCESSING. 199, 108628.

    Research output: Contribution to journalArticlepeer-review

  2. Shape-Texture Debiased Training for Robust Template Matching

    Gao, B. & Spratling, M. W., 2 Sep 2022, In: Sensors (Basel, Switzerland). 22, 17, 6658.

    Research output: Contribution to journalArticlepeer-review

  3. Explaining away results in more robust visual tracking

    Gao, B. & Spratling, M., 5 Apr 2022, In: VISUAL COMPUTER.

    Research output: Contribution to journalArticlepeer-review

  4. Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN

    Gao, B. & Spratling, M., 1 Jan 2022, p. 333-344. 12 p.

    Research output: Contribution to conference typesPaperpeer-review

  5. CobNet: cross attention on object and background for few-shot segmentation

    Guan, H. & Spratling, M., 2022, International Conference on Pattern Recognition.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  6. Registration based few-shot anomaly detection

    Huang, C., Guan, H., Jiang, A., Zhang, Y., Spratling, M. & Wang, Y-F., 2022, Lecture Notes in Computer Science. Springer, Vol. 13684.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  7. Explaining Away Results in Accurate and Tolerant Template Matching

    Spratling, M., Aug 2020, In: PATTERN RECOGNITION. 104, 107337, 107337.

    Research output: Contribution to journalArticlepeer-review

  8. Target Propagation in Recurrent Neural Networks

    Manchev, N. L. & Spratling, M. W., Feb 2020, In: JOURNAL OF MACHINE LEARNING RESEARCH. 21, 7, p. 1 33 p.

    Research output: Contribution to journalArticlepeer-review

  9. Fitting Predictive Coding to the Neurophysiological Data

    Spratling, M. W., 1 Oct 2019, In: Brain research. 1720, p. 1-8 146313.

    Research output: Contribution to journalArticlepeer-review

  10. Two collaborative filtering recommender systems based on sparse dictionary coding

    Kartoglu, I. E. & Spratling, M. W., Dec 2018, In: KNOWLEDGE AND INFORMATION SYSTEMS. 57, 3, p. 709-720 12 p.

    Research output: Contribution to journalArticlepeer-review

  11. Contour detection refined by a sparse reconstruction-based discrimination method

    Wang, Q. & Spratling, M. W., 21 Jul 2017, (E-pub ahead of print) In: Signal, Image and Video Processing. p. 1-8 8 p.

    Research output: Contribution to journalArticlepeer-review

  12. A predictive coding model of gaze shifts and the underlying neurophysiology

    Spratling, M. W., 18 Jul 2017, (E-pub ahead of print) In: VISUAL COGNITION. 2017, p. 1-32 32 p.

    Research output: Contribution to journalArticlepeer-review

  13. A Hierarchical Predictive Coding Model of Object Recognition in Natural Images

    Spratling, M. W., Apr 2017, In: Cognitive Computation. 9, 2, p. 151–167

    Research output: Contribution to journalArticlepeer-review

  14. A review of predictive coding algorithms

    Spratling, M. W., Mar 2017, In: Brain and Cognition. 112, p. 92-97

    Research output: Contribution to journalArticlepeer-review

  15. A neural model for eye–head–arm coordination

    Muhammad, W. & Spratling, M. W., 2017, In: Advanced Robotics. 31, 12, p. 650-663 14 p.

    Research output: Contribution to journalArticlepeer-review

  16. An integrated system based on binocular learned receptive fields for saccade-vergence on visually salient targets

    Re, D., Gibaldi, A., Sabatini, S. & Spratling, M. W., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 6. p. 204-215

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  17. A neural implementation of the Hough transform and the advantages of explaining away

    Spratling, M. W., Aug 2016, In: IMAGE AND VISION COMPUTING. 52, p. 15-24

    Research output: Contribution to journalArticlepeer-review

  18. Predictive coding as a model of cognition

    Spratling, M. W., Aug 2016, In: Cognitive processing. 17, 3, p. 279-305 27 p.

    Research output: Contribution to journalArticlepeer-review

  19. A simplified texture gradient method for improved image segmentation

    Wang, Q. & Spratling, M. W., Apr 2016, In: Signal, Image and Video Processing. 10, 4, p. 679-686

    Research output: Contribution to journalArticlepeer-review

  20. A neural implementation of Bayesian inference based on predictive coding

    Spratling, M. W., 2016, In: CONNECTION SCIENCE. 28, 4, p. 346-383 38 p.

    Research output: Contribution to journalArticlepeer-review

  21. Contour Detection in Colour Images Using a Neurophysiologically Inspired Model

    Wang, Q. & Spratling, M., 2016, In: Cognitive Computation. 8, 6, p. 1027-1035 9 p.

    Research output: Contribution to journalArticlepeer-review

  22. A neural model of binocular saccade planning and vergence control

    Muhammad, W. & Spratling, M. W., 4 Oct 2015, In: ADAPTIVE BEHAVIOR. 23, 5, p. 265-82 18 p.

    Research output: Contribution to journalArticlepeer-review

  23. A single functional model of drivers and modulators in cortex

    Spratling, M., Feb 2014, In: Journal of Computational Neuroscience. 36, 1, p. 97-118 22 p.

    Research output: Contribution to journalArticlepeer-review

  24. Classification using sparse representations: a biologically plausible approach

    Spratling, M., Feb 2014, In: Biological Cybernetics. 108, 1, p. 61-73 13 p.

    Research output: Contribution to journalArticlepeer-review

  25. Distinguishing theory from implementation in predictive coding accounts of brain function

    Spratling, M. W., Jun 2013, In: Behavioral and Brain Sciences. 36, 3, p. 231-232 2 p.

    Research output: Contribution to journalArticlepeer-review

  26. A model of partial reference frame transforms through pooling of gain-modulated responses

    De Meyer, K. & Spratling, M. W., May 2013, In: Cerebral Cortex. 23, 5, p. 1230-1239 10 p., bhs117v2.

    Research output: Contribution to journalArticlepeer-review

  27. Image segmentation using a sparse coding model of cortical area V1

    Spratling, M., Apr 2013, In: IEEE TRANSACTIONS ON IMAGE PROCESSING. 22, 4, p. 1631-1643 13 p.

    Research output: Contribution to journalArticlepeer-review

  28. Predictive Coding

    Spratling, M., 2013, Encyclopedia of Computational Neuroscience. Springer

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

  29. Predictive coding as a model of the V1 saliency map hypothesis

    Spratling, M. W., Feb 2012, In: Neural Networks. 26, N/A, p. 7 - 28 22 p., N/A.

    Research output: Contribution to journalArticlepeer-review

  30. Predictive coding accounts for V1 response properties recorded using reverse correlation

    Spratling, M. W., Jan 2012, In: Biological Cybernetics. 106, 1, p. 37 - 49 13 p., N/A.

    Research output: Contribution to journalArticlepeer-review

  31. Multiplicative Gain Modulation Arises Through Unsupervised Learning in a Predictive Coding Model of Cortical Function

    De Meyer, K. & Spratling, M. W., Jun 2011, In: Neural Computation. 23, 6, p. 1536-1567 32 p., N/A.

    Research output: Contribution to journalArticlepeer-review

  32. A single functional model accounts for the distinct properties of suppression in cortical area V1

    Spratling, M. W., 25 Mar 2011, In: Vision Research. 51, 6, p. 563 - 576 14 p., n/a.

    Research output: Contribution to journalArticlepeer-review

  33. Predictive Coding as a Model of Response Properties in Cortical Area V1

    Spratling, M. W., 3 Mar 2010, In: Journal of Neuroscience. 30, 9, p. 3531 - 3543 13 p.

    Research output: Contribution to journalArticlepeer-review

  34. Learning posture invariant spatial representations through temporal correlations

    Spratling, M. W., Dec 2009, In: IEEE Transactions on Autonomous Mental Development. 1, 4, p. 253 - 263 11 p., N/A.

    Research output: Contribution to journalArticlepeer-review

  35. A model of non-linear interactions between cortical top-down and horizontal connections explains the attentional gating of collinear facilitation

    De Meyer, K. & Spratling, M. W., 30 Mar 2009, In: Vision Research. 49, 5, p. 553 - 568 16 p., n/a.

    Research output: Contribution to journalArticlepeer-review

  36. Unsupervised learning of overlapping image components using divisive input modulation

    Spratling, M. W., De Meyer, K. & Kompass, R., 2009, In: Computational Intelligence and Neuroscience. 2009, N/A, p. N/A 19 p., 381457.

    Research output: Contribution to journalArticlepeer-review

  37. Reconciling predictive coding and biased competition models of cortical function

    Spratling, M. W., 21 Oct 2008, In: Frontiers in Computational Neuroscience. 2, N/A, p. N/A 8 p., 4.

    Research output: Contribution to journalArticlepeer-review

  38. Precis of neuroconstructivism: How the brain constructs cognition

    Sirois, S., Spratling, M., Thomas, M. S. C., Westermann, G., Mareschal, D. & Johnson, M. H., Jun 2008, In: Behavioral and Brain Sciences. 31, 3, p. 321 - +

    Research output: Contribution to journalLiterature reviewpeer-review

  39. Predictive coding as a model of biased competition in visual attention

    Spratling, M. W., Jun 2008, In: Vision Research. 48, 12, p. 1391 - 1408 18 p.

    Research output: Contribution to journalArticlepeer-review

  40. Studying development in the 21(st) Century

    Thomas, M. S. C., Westermann, G., Mareschal, D., Johnson, M. H., Sirois, S. & Spratling, M., Jun 2008, In: Behavioral and Brain Sciences. 31, 3, p. 345 - 356 12 p.

    Research output: Contribution to journalEditorialpeer-review

  41. Neuroconstructivism

    Westermann, G., Mareschal, D., Johnson, M. H., Sirois, S., Spratling, M. W. & Thomas, M. S. C., Jan 2007, In: Developmental Science. 10, 1, p. 75 - 83 9 p.

    Research output: Contribution to journalArticlepeer-review

  42. Neuroconstructivism: How the Brain Constructs Cognition

    Mareschal, D., Johnson, M. H., Siros, S., Spratling, M. W., Thomas, M. S. C. & Westermann, G., 2007, Oxford, UK: Oxford University Press.

    Research output: Book/ReportBook

  43. The role of feedback in the determination of figure and ground: a combined behavioral and modeling study

    Watling, L., Spratling, M., De Meyer, K. & Johnson, M., 2007, 29th Annual Conference of the Cognitive Science Society (CogSci2007): Proceedings of a Meeting held 1-4 August, 2007 in Nashville TN. N/A ed. Curran Associates Inc., Vol. N/A. p. 1629-1634 6 p.

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

  44. Learning Image Components for Object Recognition

    Spratling, M. W., May 2006, In: JOURNAL OF MACHINE LEARNING RESEARCH. 7, N/A, p. 793 - 815 23 p., N/A.

    Research output: Contribution to journalArticlepeer-review

  45. A feedback model of perceptual learning and categorization

    Spratling, M. W. & Johnson, M. H., 2006, In: VISUAL COGNITION. 13, 2, p. 129 - 165 37 p.

    Research output: Contribution to journalArticlepeer-review

  46. Learning viewpoint invariant perceptual representations from cluttered images

    Spratling, M. W., May 2005, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 27, 5, p. 753 - 761 9 p., N/A.

    Research output: Contribution to journalArticlepeer-review

  47. Local versus distributed: A poor taxonomy of neural coding strategies

    Spratling, M. W., Oct 2004, In: Behavioral and Brain Sciences. 27, 5, p. 700 - 702 3 p.

    Research output: Contribution to journalComment/debatepeer-review

  48. A feedback model of visual attention

    Spratling, M. W. & Johnson, M. H., Mar 2004, In: JOURNAL OF COGNITIVE NEUROSCIENCE. 16, 2, p. 219 - 237 19 p.

    Research output: Contribution to journalArticlepeer-review

Previous 1 2 Next

Export:RIS BibTex Word PDF - will at most contain 500 items

Search within the list

Refine results

Language

Language

Publication year

Publication year

Meeting and poster abstracts

Meeting and poster abstracts

Authors

Authors

Open Access Status

Open Access Status

© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454