Results 81 to 90 of about 460,640 (165)

Neurophysiological principles underlying predictive coding during dynamic perception-action integration

open access: yesNeuroImage
A major concept in cognitive neuroscience is that brains are “prediction machines”. Yet, conceptual frameworks on how perception and action become integrated still lack the concept of predictability and it is unclear how neural processes may implement ...
Roula Jamous   +5 more
doaj   +1 more source

Bayesian Predictive Coding

open access: yes
Predictive coding (PC) is an influential theory of information processing in the brain, providing a biologically plausible alternative to backpropagation. It is motivated in terms of Bayesian inference, as hidden states and parameters are optimised via gradient descent on variational free energy. However, implementations of PC rely on maximum \textit{a
Tschantz, Alexander   +6 more
openaire   +2 more sources

Bidirectional predictive coding

open access: yes
Predictive coding (PC) is an influential computational model of visual learning and inference in the brain. Classical PC was proposed as a top-down generative model, where the brain actively predicts upcoming visual inputs, and inference minimises the prediction errors. Recent studies have also shown that PC can be formulated as a discriminative model,
Oliviers, Gaspard   +2 more
openaire   +2 more sources

The design and performance of a real-time self excited vocoder [PDF]

open access: yes
This paper is concerned with a generic class of predictive speech coders that includes the newly proposed Self Excited Vocoder (SEV) and the well known Code-Excited Linear Predictive Coder (CELPC).
Barnwell, T. P., III   +2 more
core   +1 more source

Predictive Model for Carbon Content in Steel Grade Melting by Arc Furnace Based on Hybrid Coding Method

open access: yesTeshugang, 2010
A new genetic algorithm (GA) using hybrid coding method to train the neural network model for predication of carbon content in arc furnace steel is proposed, that is first to use binary coding method then to use decimal coding method continuously to ...
姜静, 孟利东, 李素玲, 姜琳
doaj  

Dopamine reward prediction error coding

open access: yesDialogues in Clinical Neuroscience, 2016
Reward prediction errors consist of the differences between received and predicted rewards. They are crucial for basic forms of learning about rewards and make us strive for more rewards-an evolutionary beneficial trait. Most dopamine neurons in the midbrain of humans, monkeys, and rodents signal a reward prediction error; they are activated by more ...
openaire   +3 more sources

Data compression for satellite images [PDF]

open access: yes
An efficient data compression system is presented for satellite pictures and two grey level pictures derived from satellite pictures. The compression techniques take advantages of the correlation between adjacent picture elements.
Chen, P. H., Wintz, P. A.
core   +1 more source

Predictive Coding and Control [PDF]

open access: yes, 2019
Amini, Behrooz   +2 more
core  

Home - About - Disclaimer - Privacy