The Faces of Predictive Coding

Predictive Coding: How Many Faces?

Predictive Coding Defensibility: The Symantec Transparent Predictive Coding Workflow

Predictive coding is one of the most promising technologies to reduce the high cost of review by improving the efficiency of the review process. Limitations of available technology to provide a repeatable and well-defined predictive coding workflow have led to questions of its defensibility in court, and slow acceptance within legal departments. Symantec Transparent Predictive Coding provides a...

Predictive coding.

Predictive coding is a unifying framework for understanding redundancy reduction and efficient coding in the nervous system. By transmitting only the unpredicted portions of an incoming sensory signal, predictive coding allows the nervous system to reduce redundancy and make full use of the limited dynamic range of neurons. Starting with the hypothesis of efficient coding as a design principle ...

The role of arousal in predictive coding.

Within a predictive coding approach, the arousal/norepinephrine effects described by the GANE (glutamate amplifies noradrenergic effects) model seem to modulate the precision attributed to prediction errors, favoring the selective updating of predictive models with larger prediction errors. However, to explain how arousal effects are triggered, it is likely that different kinds of prediction er...

Deep Predictive Coding Networks

The quality of data representation in deep learning methods is directly related to the prior model imposed on the representations; however, generally used fixed priors are not capable of adjusting to the context in the data. To address this issue, we propose deep predictive coding networks, a hierarchical generative model that empirically alters priors on the latent representations in a dynamic...