Results 41 to 50 of about 1,686,261 (278)
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.
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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A predictive coding model of the N400. [PDF]
Abstract The N400 event-related component has been widely used to investigate the neural mechanisms underlying real-time language comprehension. However, despite decades of research, there is still no unifying theory that can explain both its temporal dynamics and functional properties.
Nour Eddine S +4 more
europepmc +6 more sources
Predictive coding and representationalism [PDF]
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
openaire +5 more sources
Canonical Microcircuits for Predictive Coding [PDF]
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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A Predictive Coding Framework for Understanding Major Depression
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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Predictive Coding Strategies for Developmental Neurorobotics
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
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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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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Visual mismatch negativity: A predictive coding view
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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