Search results

• 2024

  A predictive coding model of the N400

  Nour Eddine, S., Brothers, T., Wang, L., Spratling, M. & Kuperberg, G. R., May 2024, In: Cognition. 246, 105755.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Predictive Coding 100%
  • Brain 66%
  • Priming 50%
  • Language Comprehension 50%
  • Algorithms 40%
  2 Citations (Scopus)

  60 Downloads (Pure)

• Query semantic reconstruction for background in few-shot segmentation

  Guan, H. & Spratling, M., Feb 2024, In: VISUAL COMPUTER. 40, 2, p. 799-810 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Segmentation 100%
  • Computational Complexity 14%
  • False Positive 14%
  • Class Information 14%
  • Training Process 14%
• 2023

  Comprehensive assessment methods are key to progress in deep learning

  Spratling, M. W., 6 Dec 2023, In: Behavioral and Brain Sciences. 46, e407.

  Research output: Contribution to journal › Review article › peer-review

  • Deep Learning Method 100%
  • Neural Network 50%
  • Network Model 50%

• Data Augmentation Alone Can Improve Adversarial Training

  Li, L. & Spratling, M., 24 Jan 2023, In: International Conference on Learning Representations 2023.

  Research output: Contribution to journal › Conference paper › peer-review

  Open Access

  File

  • Adversarial Machine Learning 100%
  • Data Augmentation 100%
  • Generalization Performance 16%
  • Transformations 16%
  • Regularization Method 16%
  12 Citations (Scopus)

  51 Downloads (Pure)

• On the biological plausibility of orthogonal initialisation for solving gradient instability in deep neural networks

  Manchev, N. & Spratling, M., 21 Mar 2023, (E-pub ahead of print) 2022 9th International Conference on Soft Computing and Machine Intelligence, ISCMI 2022. IEEE, p. 47-55 9 p. (2022 9th International Conference on Soft Computing and Machine Intelligence, ISCMI 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Initialization 100%
  • Neural Network 33%
  • Feedforward Network 33%
  • Synaptic Weight 33%
  • Orthogonalization 33%
  43 Downloads (Pure)

• Rethinking the backbone architecture for tiny object detection

  Ning, J., Guan, H. & Spratling, M., 20 Mar 2023, In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . 5, p. 103-114

  Research output: Contribution to journal › Conference paper › peer-review

  Open Access

  File

  • Object Detection 100%
  • Feature Map 50%
  5 Citations (Scopus)

  66 Downloads (Pure)

• The Importance of Anti-Aliasing in Tiny Object Detection

  Ning, J. & Spratling, M., 2023, (Accepted/In press) Asian Conference on Machine Learning.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization

  Li, L. & Spratling, M., Apr 2023, In: PATTERN RECOGNITION. 136, 109229.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Landscape Analysis 100%
  • Adversarial Machine Learning 100%
  • Training 83%
  • Direction 33%
  • Robustness 33%
  13 Citations (Scopus)

  50 Downloads (Pure)
• 2022

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

  Guan, H. & Spratling, M., 29 Nov 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. p. 39-45 7 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Segmentation 100%
  • Annotation 75%
  • Art Performance 25%
  • Extracted Information 25%
  • Information Object 25%

• Explaining away results in more robust visual tracking

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

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Appearance Model 100%
  • Probabilistic Inference 50%
  2 Citations (Scopus)

• 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 journal › Article › peer-review

  Open Access

  • Tracking Object 100%
  • Appearance Model 100%
  • Target Location 50%
  3 Citations (Scopus)

• Registration based few-shot anomaly detection

  Huang, C., Guan, H., Jiang, A., Zhang, Y., Spratling, M. & Wang, Y-F., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer, Vol. 13684. p. 303-319 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13684 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Anomaly Detection 100%
  • Detect Anomaly 12%
  • Source Codes 12%
  • Image Alignment 12%
  • Category Learning 12%
  37 Citations (Scopus)

• 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 types › Paper › peer-review

  Open Access

  • Convolutional Neural Network 100%
  • Template Matching 100%
  • Standards 25%
  • Shape Information 25%
  • Feature Space 25%
  8 Citations (Scopus)

• Shape-Texture Debiased Training for Robust Template Matching

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

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Template Matching 100%
  • Convolutional Neural Network 60%
  • Feature Space 40%
  • Matching Algorithm 40%
  • Shape Information 20%
  3 Citations (Scopus)
• 2020

  Explaining Away Results in Accurate and Tolerant Template Matching

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

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Neurobiological Mechanism 100%
  • Pattern Recognition 100%
  • Template Matching 100%
  • Algorithms 16%
  • Alternative Explanation 16%
  17 Citations (Scopus)

  115 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  • Algorithms 100%
  • Recurrent Neural Network 100%
  • Assignment Problem 50%
  • Network Target 50%
  • Dataset 50%
  45 Citations (Scopus)
• 2019

  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 journal › Article › peer-review

  Open Access

  File

  • Visual Cortex 100%
  • Locomotion 100%
  13 Citations (Scopus)

  315 Downloads (Pure)
• 2018

  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 journal › Article › peer-review

  Open Access

  File

  • Dictionary 100%
  • Recommender Systems 100%
  • Collaborative Filtering 100%
  • Filtration 100%
  • Coding 100%
  3 Citations (Scopus)

  283 Downloads (Pure)
• 2017

  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 journal › Article › peer-review

  Open Access

  File

  • Object Recognition 100%
  • Predictive Coding 100%
  • Neural Network 25%
  • Cortex 25%
  • Algorithms 16%
  49 Citations (Scopus)

  245 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Brain 100%
  1 Citation (Scopus)

  292 Downloads (Pure)

• A Neural Model of Coordinated Head and Eye Movement Control

  Muhammad, W. & Spratling, M. W., 2017, In: Journal of Intelligent and Robotic Systems: Theory and Applications. 85, 1, p. 107-126

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Behavior (Neuroscience) 100%
  • Eye Movement 100%
  • Competition 50%
  • Brain 50%
  • Neural Network 50%
  7 Citations (Scopus)

  249 Downloads (Pure)

• 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 proceeding › Conference paper › peer-review

  • Saccade 100%
  • Vergence 100%
  • Modular Architecture 50%
  • Eye Coordination 50%
  • Human Visual System 50%

• 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 journal › Article › peer-review

  Open Access

  File

  • Saccade 100%
  • Neurophysiology 100%
  • Neuron 66%
  • Visual System 33%
  • Abilities 33%
  5 Citations (Scopus)

  261 Downloads (Pure)

• A review of predictive coding algorithms

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

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Retina 100%
  • Brain 100%
  227 Citations (Scopus)

  1492 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Algorithms 100%
  • State of the Art 62%
  • Detection Result 50%
  • Show 31%
  • Color 31%
  194 Downloads (Pure)
• 2016

  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 journal › Article › peer-review

  Open Access

  File

  • Probability Distribution 100%
  • Bayesian Inference 100%
  • Predictive Coding 100%
  • Cerebral Cortex 100%
  • Neural Network 50%
  18 Citations (Scopus)

  271 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Hough Transforms 100%
  • Algorithms 42%
  • Parameter Value 42%
  • Accumulator Array 28%
  • image feature 28%
  11 Citations (Scopus)

  219 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Model 100%
  • Simplification 100%
  • Discontinuity 100%
  • Cue 100%
  • Segmentation Method 100%
  3 Citations (Scopus)

  203 Downloads (Pure)

• 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 journal › Article › peer-review

  • Color Image 100%
  • Experimental Result 20%
  • Practical Application 20%
  • Computervision 20%
  • Single Neuron 20%
  7 Citations (Scopus)

• 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 journal › Article › peer-review

  Open Access

  File

  • Cognition 100%
  • Cognitive Function 20%
  • Behavior (Neuroscience) 20%
  • Reasoning 20%
  • Categorisation 20%
  98 Citations (Scopus)

  617 Downloads (Pure)
• 2015

  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 journal › Article › peer-review

  Open Access

  File

  • Motor Command 100%
  • Directional 100%
  • Basis Function 100%
  • Humanoid Robot 100%
  • Neural Model 100%
  13 Citations (Scopus)

  288 Downloads (Pure)
• 2014

  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 journal › Article › peer-review

  Open Access

  File

  • Suppression 100%
  16 Citations (Scopus)

  254 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Brain 100%
  • Information Processing 50%
  • Sensory Processing 50%
  • Image Processing 50%
  15 Citations (Scopus)

  355 Downloads (Pure)
• 2013

  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 journal › Article › peer-review

  Open Access

  File

  • Cortex 100%
  • Visual Cortex 50%
  • Auditory Stimulation 33%
  12 Citations (Scopus)

  254 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File
  12 Citations (Scopus)

  352 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Algorithms 100%
  • Image Segmentation 100%
  • Cortical Area 100%
  • Sparse Coding 100%
  • Visual Cortex 100%
  59 Citations (Scopus)

  335 Downloads (Pure)

• Predictive Coding

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

  Research output: Chapter in Book/Report/Conference proceeding › Entry in encyclopedia/dictionary
• 2012

  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 journal › Article › peer-review

  Open Access

  File

  • Cortex 100%
  • Methodology 100%
  • Observed Behavior 100%
  • Competition 100%
  • Behavior (Neuroscience) 20%
  20 Citations (Scopus)

  293 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Attention 100%
  • Cortex 100%
  • Competition 100%
  • Brain 50%
  • Visual Cortex 50%
  41 Citations (Scopus)

  375 Downloads (Pure)

• Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function

  Spratling, M., Jan 2012, In: Neural Computation. 24, 1, p. 60-103 44 p.

  Research output: Contribution to journal › Article › peer-review

  • Algorithms 100%
  • Unsupervised Learning 100%
  • Predictive Coding 100%
  • Art Performance 33%
  • Theory of Computation 33%
  48 Citations (Scopus)

  15 Downloads (Pure)
• 2011

  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 journal › Article › peer-review

  Open Access

  File

  • Suppression 100%
  • Neuron 11%
  • Visual Cortex 11%
  28 Citations (Scopus)

  215 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Behavior (Neuroscience) 100%
  • Brain 100%
  • Neuron 100%
  • Unsupervised Learning 100%
  • Predictive Coding 100%
  16 Citations (Scopus)

  471 Downloads (Pure)
• 2010

  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 journal › Article › peer-review

  Open Access

  File

  • Suppression 100%
  • Inhibition 100%
  • Competition 50%
  151 Citations (Scopus)

  195 Downloads (Pure)
• 2009

  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 journal › Article › peer-review

  Open Access

  File

  • Attention 100%
  • Competition 49%
  • Dendrite 49%
  • Neuron 49%
  • Extrastriate Cortex 49%
  13 Citations (Scopus)

  171 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Spatial Representation 100%
  • Cerebral Cortex 100%
  • Neural Network 50%
  • Cortex 50%
  • Network Model 50%
  7 Citations (Scopus)

  243 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Neural Network 100%
  • Negative Feedback 100%
  • Learning Algorithm 100%
  • Training 100%
  • Algorithms 100%
  35 Citations (Scopus)

  205 Downloads (Pure)
• 2008

  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 journal › Literature review › peer-review

  • Cognitive Development 100%
  • Brain 100%
  • Cognition 100%
  • Social Development 50%
  • Infant 50%
  72 Citations (Scopus)

• 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 journal › Article › peer-review

  Open Access

  File

  • Predictive Coding 100%
  • Attention 100%
  • Competition 100%
  • Cortical Region 20%
  • Coding Theory 20%
  168 Citations (Scopus)

  233 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Competition Model 100%
  • Competition 100%
  • Variations 66%
  • Mathematical Modeling 33%
  101 Citations (Scopus)

  182 Downloads (Pure)

• 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 journal › Editorial › peer-review

  • Cognitive Development 100%
  1 Citation (Scopus)