Attention acts, through cortical feedback pathways, to enhance the response of cells encoding expected or predicted information. Such observations are inconsistent with the predictive coding theory of cortical function which proposes that feedback acts to suppress information predicted by higher-level cortical regions. Despite this discrepancy, this article demonstrates that the predictive coding model can be used to simulate a number of the effects of attention. This is achieved via a simple mathematical rearrangement of the predictive coding model, which allows it to be interpreted as a form of biased competition model. Nonlinear extensions to the model are proposed that enable it to explain a wider range of data
Feedback connections are a prominent feature of cortical anatomy and are likely to have a significan...
Predictive Coding is both a technique for efficient information encoding and a method for performing...
Visual attention facilitates faster and more accurate decision-making for behaviorally relevant stim...
AbstractAttention acts, through cortical feedback pathways, to enhance the response of cells encodin...
Attention acts, through cortical feedback pathways, to enhance the response of cells encoding expect...
A simple variation of the standard biased competition model is shown, via some trivial mathematical ...
A simple model is shown to account for a large range of V1 classical, and non-classical, receptive f...
A simple variation of the standard biased competition model is shown, via some trivial mathematical ...
Predictive coding models of perception suggest that predicted sensory signals are attenuated (silenc...
Predictive coding models suggest that predicted sensory signals are attenuated (silencing of predict...
Predictive coding models suggest that predicted sensory signals are attenuated (silencing of predict...
Neuronal activity in response to a fixed stimulus has been shown to change as a function of attentio...
Predictive coding is an unsupervised learning principle which has been proposed to explain the brain...
We describe two models of attention that utilize probabilistic principles to compute task-relevant v...
This thesis investigated the relationship between prediction and attention in visual perception by r...
Feedback connections are a prominent feature of cortical anatomy and are likely to have a significan...
Predictive Coding is both a technique for efficient information encoding and a method for performing...
Visual attention facilitates faster and more accurate decision-making for behaviorally relevant stim...
AbstractAttention acts, through cortical feedback pathways, to enhance the response of cells encodin...
Attention acts, through cortical feedback pathways, to enhance the response of cells encoding expect...
A simple variation of the standard biased competition model is shown, via some trivial mathematical ...
A simple model is shown to account for a large range of V1 classical, and non-classical, receptive f...
A simple variation of the standard biased competition model is shown, via some trivial mathematical ...
Predictive coding models of perception suggest that predicted sensory signals are attenuated (silenc...
Predictive coding models suggest that predicted sensory signals are attenuated (silencing of predict...
Predictive coding models suggest that predicted sensory signals are attenuated (silencing of predict...
Neuronal activity in response to a fixed stimulus has been shown to change as a function of attentio...
Predictive coding is an unsupervised learning principle which has been proposed to explain the brain...
We describe two models of attention that utilize probabilistic principles to compute task-relevant v...
This thesis investigated the relationship between prediction and attention in visual perception by r...
Feedback connections are a prominent feature of cortical anatomy and are likely to have a significan...
Predictive Coding is both a technique for efficient information encoding and a method for performing...
Visual attention facilitates faster and more accurate decision-making for behaviorally relevant stim...