A review of predictive coding algorithms

[1]  William A. Phillips,et al.  Cognitive functions of intracellular mechanisms for contextual amplification , 2017, Brain and Cognition.

[2]  Tsvi Achler,et al.  Symbolic neural networks for cognitive capacities , 2014, BICA 2014.

[3]  Karl J. Friston,et al.  Active inference, eye movements and oculomotor delays , 2013, BMC Neuroscience.

[4]  Michael W. Spratling A single functional model of drivers and modulators in cortex , 2013, Journal of Computational Neuroscience.

[5]  A. Clark Whatever next? Predictive brains, situated agents, and the future of cognitive science. , 2013, The Behavioral and brain sciences.

[6]  Michael W. Spratling Image Segmentation Using a Sparse Coding Model of Cortical Area V1 , 2013, IEEE Transactions on Image Processing.

[7]  Karl J. Friston,et al.  Canonical Microcircuits for Predictive Coding , 2012, Neuron.

[8]  Dana H. Ballard,et al.  Dynamic Coding of Signed Quantities in Cortical Feedback Circuits , 2012, Front. Psychology.

[9]  Steffen Junge,et al.  Online parts-based feature discovery using competitive activation neural networks , 2011, The 2011 International Joint Conference on Neural Networks.

[10]  Karl J. Friston,et al.  Free Energy and Dendritic Self-Organization , 2011, Front. Syst. Neurosci..

[11]  Rajesh P. N. Rao,et al.  Predictive Coding , 2019, A Blueprint for the Hard Problem of Consciousness.

[12]  Michael W. Spratling Predictive Coding as a Model of Response Properties in Cortical Area V1 , 2010, The Journal of Neuroscience.

[13]  Karl J. Friston The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.

[14]  Ricarda I. Schubotz,et al.  Prediction, Cognition and the Brain , 2009, Front. Hum. Neurosci..

[15]  B. Balas,et al.  Personal Familiarity Influences the Processing of Upright and Inverted Faces in Infants , 2009, Front. Hum. Neurosci..

[16]  Karl J. Friston The free-energy principle: a rough guide to the brain? , 2009, Trends in Cognitive Sciences.

[17]  Karl J. Friston,et al.  Predictive coding under the free-energy principle , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[18]  Michael W. Spratling,et al.  Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation , 2009, Comput. Intell. Neurosci..

[19]  Dana H. Ballard,et al.  Predictive Feedback Can Account for Biphasic Responses in the Lateral Geniculate Nucleus , 2009, PLoS Comput. Biol..

[20]  Michael W. Spratling Reconciling Predictive Coding and Biased Competition Models of Cortical Function , 2008, Frontiers Comput. Neurosci..

[21]  Karl J. Friston,et al.  Predictive coding explains binocular rivalry: An epistemological review , 2008, Cognition.

[22]  Michael W. Spratling Predictive coding as a model of biased competition in visual attention , 2008, Vision Research.

[23]  Walter Senn,et al.  Modulating the Granularity of Category Formation by Global Cortical States , 2008, Frontiers Comput. Neurosci..

[24]  Rony Azouz,et al.  Time-dependent, layer-specific modulation of sensory responses mediated by neocortical layer 1. , 2006, Journal of neurophysiology.

[25]  Dana H. Ballard,et al.  Learning receptive fields using predictive feedback , 2006, Journal of Physiology-Paris.

[26]  Kevan A C Martin,et al.  Synaptic connection from cortical area V4 to V2 in macaque monkey , 2006, The Journal of comparative neurology.

[27]  Saeed V. Vaseghi,et al.  Advanced Digital Signal Processing and Noise Reduction , 2006 .

[28]  M. Meister,et al.  Dynamic predictive coding by the retina , 2005, Nature.

[29]  W. Senn,et al.  Top-down dendritic input increases the gain of layer 5 pyramidal neurons. , 2004, Cerebral cortex.

[30]  Andreas Burkhalter,et al.  Distinct GABAergic Targets of Feedforward and Feedback Connections Between Lower and Higher Areas of Rat Visual Cortex , 2003, The Journal of Neuroscience.

[31]  H Barlow,et al.  Redundancy reduction revisited , 2001, Network.

[32]  Refractor Vision , 2000, The Lancet.

[33]  J. M. Hupé,et al.  Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons , 1998, Nature.

[34]  J. Budd Extrastriate feedback to primary visual cortex in primates: a quantitative analysis of connectivity , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[35]  David J. Field,et al.  Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.

[36]  A. Burkhalter,et al.  A Polysynaptic Feedback Circuit in Rat Visual Cortex , 1997, The Journal of Neuroscience.

[37]  A. Burkhalter,et al.  Different Balance of Excitation and Inhibition in Forward and Feedback Circuits of Rat Visual Cortex , 1996, The Journal of Neuroscience.

[38]  D. Field,et al.  Natural image statistics and efficient coding. , 1996, Network.

[39]  R W Prager,et al.  Development of low entropy coding in a recurrent network. , 1996, Network.

[40]  L. Cauller Layer I of primary sensory neocortex: where top-down converges upon bottom-up , 1995, Behavioural Brain Research.

[41]  D. O'Shaughnessy,et al.  Linear predictive coding , 1988, IEEE Potentials.

[42]  S. Laughlin,et al.  Predictive coding: a fresh view of inhibition in the retina , 1982, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[43]  J. Makhoul,et al.  Linear prediction: A tutorial review , 1975, Proceedings of the IEEE.

[44]  Peter Elias,et al.  Predictive coding-I , 1955, IRE Trans. Inf. Theory.

[45]  F. Attneave Some informational aspects of visual perception. , 1954, Psychological review.

[46]  C. Harrison Experiments with linear prediction in television , 1952 .

[47]  B. M. Oliver Efficient coding , 1952 .

[48]  Jessica Koehler,et al.  Advanced Digital Signal Processing And Noise Reduction , 2016 .

[49]  Michael W. Spratling Unsupervised Learning of Generative and Discriminative Weights Encoding Elementary Image Components in a Predictive Coding Model of Cortical Function , 2012, Neural Computation.

[50]  D. Mumford On the computational architecture of the neocortex , 2004, Biological Cybernetics.

[51]  H. Sebastian Seung,et al.  Algorithms for Non-negative Matrix Factorization , 2000, NIPS.

[52]  Rajesh P. N. Rao,et al.  Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. , 1999 .

[53]  George Francis Harpur,et al.  Low Entropy Coding with Unsupervised Neural Networks , 1997 .

[54]  P A Salin,et al.  Corticocortical connections in the visual system: structure and function. , 1995, Physiological reviews.

[55]  Horace Barlow,et al.  What is the computational goal of the neocortex , 1994 .

[56]  D Mumford,et al.  On the computational architecture of the neocortex. II. The role of cortico-cortical loops. , 1992, Biological cybernetics.

[57]  S. B. Laughlin,et al.  Vision: Coding efficiency and visual processing , 1991 .