Results 41 to 50 of about 172,049 (248)
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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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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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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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
doaj +1 more source
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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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
doaj +1 more source
Semantic Predictive Coding with Arbitrated Generative Adversarial Networks
Machine Learning and Knowledge Extraction, 2020 In spatio-temporal predictive coding problems, like next-frame prediction in video, determining the content of plausible future frames is primarily based on the image dynamics of previous frames.
Radamanthys Stivaktakis +2 more
doaj +1 more source
, 2023 Abstract Predictive coding algorithms specify reciprocal message passing between hierarchical levels of a modular computation; likewise, the cerebral cortex can be characterized as a hierarchical arrangement of areas communicating via reciprocal forward and backward pathways.
Stewart Shipp, Karl Friston
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The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo +5 more
wiley +1 more source
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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