Michael W. Spratling

According to our database1, Michael W. Spratling authored at least 37 papers between 1996 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Online presence:

On csauthors.net:

Bibliography

2020
Explaining away results in accurate and tolerant template matching.
Pattern Recognit., 2020

Target Propagation in Recurrent Neural Networks.
J. Mach. Learn. Res., 2020

Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN.
CoRR, 2020

2018
Contour detection refined by a sparse reconstruction-based discrimination method.
Signal Image Video Process., 2018

Two collaborative filtering recommender systems based on sparse dictionary coding.
Knowl. Inf. Syst., 2018

2017
A Neural Model of Coordinated Head and Eye Movement Control.
J. Intell. Robotic Syst., 2017

A Hierarchical Predictive Coding Model of Object Recognition in Natural Images.
Cogn. Comput., 2017

A neural model for eye-head-arm coordination.
Adv. Robotics, 2017

An Integrated System based on Binocular Learned Receptive Fields for Saccade-vergence on Visually Salient Targets.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

2016
A simplified texture gradient method for improved image segmentation.
Signal Image Video Process., 2016

A neural implementation of the Hough transform and the advantages of explaining away.
Image Vis. Comput., 2016

Predictive coding as a model of cognition.
Cogn. Process., 2016

A three-dimensional approach to Visual Speech Recognition using Discrete Cosine Transforms.
CoRR, 2016

A neural implementation of Bayesian inference based on predictive coding.
Connect. Sci., 2016

Contour Detection in Colour Images Using a Neurophysiologically Inspired Model.
Cogn. Comput., 2016

2015
A neural model of binocular saccade planning and vergence control.
Adapt. Behav., 2015

2014
Predictive Coding.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

A single functional model of drivers and modulators in cortex.
J. Comput. Neurosci., 2014

Classification using sparse representations: a biologically plausible approach.
Biol. Cybern., 2014

2013
Image Segmentation Using a Sparse Coding Model of Cortical Area V1.
IEEE Trans. Image Process., 2013

2012
Predictive coding as a model of the V1 saliency map hypothesis.
Neural Networks, 2012

Unsupervised Learning of Generative and Discriminative Weights Encoding Elementary Image Components in a Predictive Coding Model of Cortical Function.
Neural Comput., 2012

Predictive coding accounts for V1 response properties recorded using reverse correlation.
Biol. Cybern., 2012

2011
Multiplicative Gain Modulation Arises Through Unsupervised Learning in a Predictive Coding Model of Cortical Function.
Neural Comput., 2011

2009
Learning Posture Invariant Spatial Representations Through Temporal Correlations.
IEEE Trans. Auton. Ment. Dev., 2009

Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation.
Comput. Intell. Neurosci., 2009

2008
Reconciling predictive coding and biased competition models of cortical function.
Frontiers Comput. Neurosci., 2008

2006
Learning Image Components for Object Recognition.
J. Mach. Learn. Res., 2006

2005
Learning Viewpoint Invariant Perceptual Representations from Cluttered Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

2004
Neural coding strategies and mechanisms of competition.
Cogn. Syst. Res., 2004

2003
Exploring the functional significance of dendritic inhibition in cortical pyramidal cells.
Neurocomputing, 2003

2002
Preintegration Lateral Inhibition Enhances Unsupervised Learning.
Neural Comput., 2002

2000
Learning Synaptic Clusters for Nonlinear Dendritic Processing.
Neural Process. Lett., 2000

1999
Artificial ontogenesis : a connectionist model of development.
PhD thesis, 1999

1998
Learning sensory-motor cortical mappings without training.
Proceedings of the ESANN 1998, 1998

A self-organising neural network for modelling cortical development.
Proceedings of the ESANN 1998, 1998

1996
Uncalibrated Visual Servoing.
Proceedings of the British Machine Vision Conference 1996, 1996


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