Results 261 to 270 of about 9,049,447 (317)

Predictive coding compressive sensing optical coherence tomography hardware implementation. [PDF]

Biomed Opt Express
Song Cho DM, Yang H, Jia Z, Joasil AS, Gao X, Hendon CP.   +5 more
europepmc   +1 more source

Real‐World Longitudinal Data on the Impact of Hydroxychloroquine Blood Level Monitoring on Lupus Outcomes: Results of a Prospective Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel, Fauzia Hollangel, Caroline Packee, Amita Kapoor, Brad Rovin, Nathalie Costedoat‐Chalumeau, Shivani Garg   +6 more
wiley   +1 more source

Predictive coding with spiking neurons and feedforward gist signaling. [PDF]

Front Comput Neurosci
Lee K, Dora S, Mejias JF, Bohte SM, Pennartz CMA.   +4 more
europepmc   +1 more source

Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition. [PDF]

Front Comput Neurosci
Yonemura Y, Katori Y.
europepmc   +1 more source

Predictive coding model can detect novelty on different levels of representation hierarchy

Li TE, Tang M, Bogacz R.
europepmc   +1 more source

Is predictive coding falsifiable? [PDF]

Neuroscience and Biobehavioral Reviews, 2023
Predictive-coding has justifiably become a highly influential theory in Neuroscience. However, the possibility of its unfalsifiability has been raised. We argue that if predictive-coding were unfalsifiable, it would be a problem, but there are patterns ...
Howard Bowman, Damian Cruse
exaly   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Predictive coding--I

IEEE Transactions on Information Theory, 1955
In Part I predictive coding was defined and messages, prediction, entropy, and ideal coding were discussed. In the present paper the criterion to be used for predictors for the purpose of predictive coding is defined: that predictor is optimum in the information theory (IT) sense which minimizes the entropy of the average error-term distribution ...
P Elias
exaly   +2 more sources

Reconciling Predictive Coding and Biased Competition Models of Cortical Function [PDF]

Frontiers in Computational Neuroscience, 2008
A simple variation of the standard biased competition model is shown, via some trivial mathematical manipulations, to be identical to predictive coding. Specifically, it is shown that a particular implementation of the biased competition model, in which ...
Michael W Spratling
exaly   +2 more sources

A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia

Trends in Neurosciences, 2022
Recent allostatic-interoceptive explanations using predictive coding models propose that efficient regulation of the body's internal milieu is necessary to correctly anticipate environmental needs.
Olivier Piguet, Agustin Ibanez
exaly   +2 more sources

The Empirical Status of Predictive Coding and Active Inference.

Neuroscience and Biobehavioral Reviews, 2023
Research on predictive processing models has focused largely on two specific algorithmic theories: Predictive Coding for perception and Active Inference for decision-making.
Rowan Hodson, M. Mehta, Ryan Smith
semanticscholar   +1 more source