Results 21 to 30 of about 182,107 (250)
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks
Frontiers in Computational Neuroscience, 2022 Backpropagation has been regarded as the most favorable algorithm for training artificial neural networks. However, it has been criticized for its biological implausibility because its learning mechanism contradicts the human brain.
Jangho Lee +5 more
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Efficient coding of the prediction residual [PDF]
ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 This paper presents an efficient method of coding the prediction residual using the technique of sub- band coding designed at the bit rate of 9600 bits/second. The energy of the prediction residual is used to distribute the bit allocation by subbands such that the perceptual criteria is enhanced by transitional information within the phoneme ...
Burge, L., Yarlagadda, R.
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Correction: Hybrid predictive coding: Inferring, fast and slow.
PLoS Computational Biology, 2023 [This corrects the article DOI: 10.1371/journal.pcbi.1011280.].
PLOS Computational Biology Staff
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Code Analysis for Temporal Predictability [PDF]
Real-Time Systems, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jan Gustafsson +3 more
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Aligned Contrastive Predictive Coding [PDF]
Interspeech 2021, 2021 Published in Interspeech ...
Chorowski, Jan +8 more
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On the relationship between predictive coding and backpropagation.
PLoS ONE, 2022 Artificial neural networks are often interpreted as abstract models of biological neuronal networks, but they are typically trained using the biologically unrealistic backpropagation algorithm and its variants.
Robert Rosenbaum
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Predictive Coding and Binocular Rivalry
i-Perception, 2011 The notion of unconscious perceptual inference, particularly in the shape of predictive coding, promises to address many of the problems of visual perception that has long preoccupied philosophy.
Jakob Hohwy
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Canonical Microcircuits for Predictive Coding [PDF]
Neuron, 2012 This Perspective considers the influential notion of a canonical (cortical) microcircuit in light of recent theories about neuronal processing. Specifically, we conciliate quantitative studies of microcircuitry and the functional logic of neuronal computations.
Bastos, A.M. +6 more
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Applied Sciences, 2020 This paper reports on an efficient lossless compression method for periodic signals based on adaptive dictionary predictive coding. Some previous methods for data compression, such as difference pulse coding (DPCM), discrete cosine transform (DCT ...
Shaofei Dai +5 more
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A Predictive Coding Framework for Understanding Major Depression
Frontiers in Human Neuroscience, 2022 Predictive coding models of brain processing propose that top-down cortical signals promote efficient neural signaling by carrying predictions about incoming sensory information.
Jessica R. Gilbert +2 more
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