Results 61 to 70 of about 9,049,447 (317)
Predictive Coding and Internal Error Correction in Speech Production [PDF]
, 2023 Speech production involves the careful orchestration of sophisticated systems, yet overt speech errors rarely occur under naturalistic conditions. The present functional magnetic resonance imaging study sought neural evidence for internal error detection
Alex Teghipco +3 more
core +1 more source
Video Representation Learning by Dense Predictive Coding [PDF]
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 The objective of this paper is self-supervised learning of spatio-temporal embeddings from video, suitable for human action recognition. We make three contributions: First, we introduce the Dense Predictive Coding (DPC) framework for self-supervised ...
Tengda Han, Weidi Xie, Andrew Zisserman
semanticscholar +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
openaire +2 more sources
The evolution of brain architectures for predictive coding and active inference
Philosophical Transactions of the Royal Society of London. Biological Sciences, 2021 This article considers the evolution of brain architectures for predictive processing. We argue that brain mechanisms for predictive perception and action are not late evolutionary additions of advanced creatures like us.
G. Pezzulo, Thomas Parr, K. Friston
semanticscholar +1 more source
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs [PDF]
Neural Computation, 2020 Backpropagation of error (backprop) is a powerful algorithm for training machine learning architectures through end-to-end differentiation. Recently it has been shown that backprop in multilayer perceptrons (MLPs) can be approximated using predictive ...
Beren Millidge +2 more
semanticscholar +1 more source
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
Contrastive Predictive Coding for Human Activity Recognition [PDF]
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2020 Feature extraction is crucial for human activity recognition (HAR) using body-worn movement sensors. Recently, learned representations have been used successfully, offering promising alternatives to manually engineered features.
H. Haresamudram, Irfan Essa, T. Ploetz
semanticscholar +1 more source
Backward adaptive pixel-based fast predictive motion estimation [PDF]
, 2009 This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by ...
Canagarajah, CN +2 more
core +1 more source
Predictive Coding or Evidence Accumulation? False Inference and Neuronal Fluctuations
, 2010 Perceptual decisions can be made when sensory input affords an inference about what generated that input. Here, we report findings from two independent perceptual experiments conducted during functional magnetic resonance imaging (fMRI) with a sparse ...
Andreas Kleinschmidt +11 more
core +1 more source