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Predictive coding

WIREs Cognitive Science, 2011
AbstractPredictive coding is a unifying framework for understanding redundancy reduction and efficient coding in the nervous system. By transmitting only the unpredicted portions of an incoming sensory signal, predictive coding allows the nervous system to reduce redundancy and make full use of the limited dynamic range of neurons.
Yanping, Huang, Rajesh P N, Rao
openaire   +3 more sources

A review of predictive coding algorithms [PDF]

open access: yesBrain and Cognition, 2017
Predictive coding is a leading theory of how the brain performs probabilistic inference. However, there are a number of distinct algorithms which are described by the term "predictive coding".
Michael W Spratling
exaly   +2 more sources

Predictive and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication

IEEE Transactions on Wireless Communications, 2023
Semantic communication is a newly emerged communication paradigm that exploits deep learning (DL) models to realize communication processes like source coding and channel coding. Recent advances have demonstrated that DL-based joint source-channel coding
Wenyu Zhang   +5 more
semanticscholar   +1 more source

Bethe Predictive Coding

International Workshop on Affective Interactions
Magnus T. Koudahl   +6 more
openaire   +2 more sources

Contrastive Difference Predictive Coding

International Conference on Learning Representations, 2023
Predicting and reasoning about the future lie at the heart of many time-series questions. For example, goal-conditioned reinforcement learning can be viewed as learning representations to predict which states are likely to be visited in the future. While
Chongyi Zheng   +2 more
semanticscholar   +1 more source

Interweaved Prediction for Video Coding

IEEE Transactions on Image Processing, 2020
In the emerging next generation video coding standard Versatile Video Coding (VVC) developed by the Joint Video Exploration Team (JVET), sub-block-based inter-prediction plays a key role in promising coding tools such as Affine Motion Compensation (AMC) and sub-block-based Temporal Motion Vector Prediction (sbTMVP).
Kai Zhang 0007   +5 more
openaire   +3 more sources

Learning on Arbitrary Graph Topologies via Predictive Coding

Neural Information Processing Systems, 2022
Training with backpropagation (BP) in standard deep learning consists of two main steps: a forward pass that maps a data point to its prediction, and a backward pass that propagates the error of this prediction back through the network.
Tommaso Salvatori   +5 more
semanticscholar   +1 more source

Adaptive code excited predictive coding

IEEE Transactions on Signal Processing, 1992
A novel way to use the code excited linear prediction (CELP) concept that decreases the processing load while keeping the same speech quality is discussed. Rather than performing individual weighting of each candidate sequence, a global implementation of the perceptual weighting function at the codebook level is proposed.
Claude R. Galand   +2 more
openaire   +1 more source

A Predictive Coding Account of Value-Based Learning in PTSD: Implications for Precision Treatments.

Neuroscience and Biobehavioral Reviews, 2022
While there are a number of recommended first-line interventions for posttraumatic stress disorder (PTSD), treatment efficacy has been less than ideal. Generally, PTSD treatment models explain symptom manifestation via associative learning, treating the ...
A. Putica   +4 more
semanticscholar   +1 more source

Memory-augmented Dense Predictive Coding for Video Representation Learning

European Conference on Computer Vision, 2020
The objective of this paper is self-supervised learning from video, in particular for representations for action recognition. We make the following contributions: (i) We propose a new architecture and learning framework Memory-augmented Dense Predictive ...
Tengda Han, Weidi Xie, Andrew Zisserman
semanticscholar   +1 more source

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