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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
Enabling error-resilient internet broadcasting using motion compensated spatial partitioning and packet FEC for the dirac video codec [PDF]
, 2008 Video transmission over the wireless or wired network require protection from channel errors since compressed video bitstreams are very sensitive to transmission errors because of the use of predictive coding and variable length coding. In this paper, a
Cosmas, J, Loo, KK, Tun, M
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Noise, uncertainty, and interest: Predictive coding and cognitive penetration [PDF]
, 2017 This paper concerns how extant theorists of predictive coding conceptualize and explain possible instances of cognitive penetration. §I offers brief clarification of the predictive coding framework and relevant mechanisms, and a brief characterization of
Stokes, Dustin, Vance, Jona
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
On the Sample Complexity of Predictive Sparse Coding [PDF]
, 2012 The goal of predictive sparse coding is to learn a representation of examples as sparse linear combinations of elements from a dictionary, such that a learned hypothesis linear in the new representation performs well on a predictive task.
Gray, Alexander G., Mehta, Nishant A.
core
Predictive coding: A Possible Explanation of Filling-in at the blind spot
, 2015 Filling-in at the blind-spot is a perceptual phenomenon in which the visual system fills the informational void, which arises due to the absence of retinal input corresponding to the optic disc, with surrounding visual attributes. Though there are enough
Raman, Rajani, Sarkar, Sandip
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Structural coding versus free-energy predictive coding [PDF]
Psychonomic Bulletin & Review, 2015 Focusing on visual perceptual organization, this article contrasts the free-energy (FE) version of predictive coding (a recent Bayesian approach) to structural coding (a long-standing representational approach). Both use free-energy minimization as metaphor for processing in the brain, but their formal elaborations of this metaphor are fundamentally ...
openaire +2 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences. [PDF]
, 2016 Modeling the properties and functions of DNA sequences is an important, but challenging task in the broad field of genomics. This task is particularly difficult for non-coding DNA, the vast majority of which is still poorly understood in terms of ...
Quang, Daniel, Xie, Xiaohui
core +2 more sources