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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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
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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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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 ...
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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.
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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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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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Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
, 2021 In lifelong learning systems, especially those based on artificial neural networks, one of the biggest obstacles is the severe inability to retain old knowledge as new information is encountered. This phenomenon is known as catastrophic forgetting.
Giles, C. Lee +3 more
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Linear Predictive Coding for Speech Compression [PDF]
Mehran University Research Journal of Engineering and Technology, 2014 Telecommunication industry is growing and different services are rapidly introduced by different competitors to attract the users. Speech communication and its quality conservation is the most prevalent and common service provided by almost all companies.
Yasir Saleem, Faisal Hayat, Arslan Iqbal
doaj
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
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