Results 31 to 40 of about 172,004 (248)
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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Predictive coding and representationalism [PDF]
Synthese, 2015 According to the predictive coding theory of cognition (PCT), brains are predictive machines that use perception and action to minimize prediction error, i.e. the discrepancy between bottom–up, externally-generated sensory signals and top–down, internally-generated sensory predictions. Many consider PCT to have an explanatory scope that is unparalleled
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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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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 Strategies for Developmental Neurorobotics
Frontiers in Psychology, 2012 In recent years, predictive coding strategies have been proposed as a possible way of how the brain might make sense of the truly overwhelming amount of sensory data available to the brain at any given moment of time.
Jun-Cheol ePark +3 more
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Contextual and Predictive Coding in V1
i-Perception, 2011 Primary visual cortex (V1) is often characterized by the receptive field properties of its feed-forward input (only up to 5%). We focussed our fMRI studies on nonstimulated retinotopic regions in V1 to gain a better understanding of contextual processing.
Lars Muckli
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Predictive coding I: Introduction
Philosophy Compass, 2023 Abstract Predictive coding – sometimes also known as ‘predictive processing’, ‘free energy minimisation’, or ‘prediction error minimisation’ – claims to offer a complete, unified theory of cognition that stretches all the way from cellular biology to phenomenology.
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Visual mismatch negativity: A predictive coding view
Frontiers in Human Neuroscience, 2014 An increasing number of studies investigate the visual mismatch negativity (vMMN) or use the vMMN as a tool to probe various aspects of human cognition.
Gabor eStefanics +4 more
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CoRRPredictive coding (PC) is an influential theory of information processing in the brain, providing a biologically plausible alternative to backpropagation. It is motivated in terms of Bayesian inference, as hidden states and parameters are optimised via gradient descent on variational free energy. However, implementations of PC rely on maximum \textit{a
Alexander Tschantz +6 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
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