Results 11 to 20 of about 466,384 (278)
Neural Elements for Predictive Coding [PDF]
Frontiers in Psychology, 2016 Predictive coding theories of sensory brain function interpret the hierarchical construction of the cerebral cortex as a Bayesian, generative model capable of predicting the sensory data consistent with any given percept. Predictions are fed backwards in
Stewart SHIPP, Stewart SHIPP
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Complementing predictive coding [PDF]
Frontiers in Psychology, 2012 A commentary on Whatever next? Predictive brains, situated agents, and the future of cognitive science by Clark, A. (in press). Behav. Brain Sci. Clark (in press) discusses virtues of the neurocomputational perspective of predictive coding1, as well as evidential, conceptual, and methodological limits.
Will eNewsome
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Predictive Coding and Control [PDF]
IEEE Transactions on Control of Network Systems, 2019 This paper deals with feedback control over a single fixed-rate channel using predictive coding at the transmitter side. The central thrust is to demonstrate that optimal control based on predictive coding plus fixed memoryless quantization at the transmitter, designed to improve the efficiency of the channel usage and exemplified (or perhaps ...
Amini, Behrooz +2 more
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Corticofugal regulation of predictive coding
eLife, 2022 Sensory systems must account for both contextual factors and prior experience to adaptively engage with the dynamic external environment. In the central auditory system, neurons modulate their responses to sounds based on statistical context.
Alexandria MH Lesicko +4 more
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The Faces of Predictive Coding [PDF]
Journal of Neuroscience, 2015 Recent neurophysiological accounts of predictive coding hypothesized that a mismatch of prediction and sensory evidence-a prediction error (PE)-should be signaled by increased gamma-band activity (GBA) in the cortical area where prediction and evidence are compared.
Brodski, A. +3 more
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Learning Sentence-Level Representations with Predictive Coding
Machine Learning and Knowledge Extraction, 2023 Learning sentence representations is an essential and challenging topic in the deep learning and natural language processing communities. Recent methods pre-train big models on a massive text corpus, focusing mainly on learning the representation of ...
Vladimir Araujo +2 more
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Continual Sequence Modeling With Predictive Coding
Frontiers in Neurorobotics, 2022 Recurrent neural networks (RNNs) have been proved very successful at modeling sequential data such as language or motions. However, these successes rely on the use of the backpropagation through time (BPTT) algorithm, batch training, and the hypothesis ...
Louis Annabi +3 more
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A predictive coding model of the N400. [PDF]
Cognition, 2023 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 +5 more sources
Efficient coding of the prediction residual [PDF]
ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 This paper presents an efficient method of coding the prediction residual using the technique of sub- band coding designed at the bit rate of 9600 bits/second. The energy of the prediction residual is used to distribute the bit allocation by subbands such that the perceptual criteria is enhanced by transitional information within the phoneme ...
Burge, L., Yarlagadda, R.
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Aligned Contrastive Predictive Coding [PDF]
Interspeech 2021, 2021 Published in Interspeech ...
Jan Chorowski +8 more
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