Item does not contain fulltextBoth spatial and temporal context play an important role in visual perception and behavior. Humans can extract statistical regularities from these contexts to help processing the present and to construct expectations about the future. Numerous studies have found reduced neural responses to expected stimuli compared to unexpected stimuli. However, most of these results concern expectations derived from temporal (sequential) regularities. Thus, little is known about the neural consequences of statistical learning of spatial regularities. In the current fMRI study, thirty-three human volunteers were exposed to object stimuli that could be expected or surprising in terms of their spatial and temporal context. We fo...
A commonly held view about neurons in early visual cortex is that they serve as localized feature de...
An appealing hypothesis suggests that neurons represent inputs in a coordinate system that is matche...
A popular model of visual perception states that coarse information (carried by low spatial frequenc...
Contains fulltext : 214020.pdf (publisher's version ) (Open Access)Humans can rapi...
Contains fulltext : 194822.pdf (publisher's version ) (Open Access)Prediction play...
When making a turn at a familiar intersection, we know what items and landmarks will come into view....
Contains fulltext : 207343.pdf (publisher's version ) (Open Access)Perception and ...
Learning the structure of the environment is critical for interpreting the current scene and predict...
Over repeated exposure to particular visual search displays, subjects are able to implicitly extract...
This repository contains all materials, data and code that are relevant to replicate the results rep...
This repository contains all (raw) data and code necessary to replicate the results reported in: Ric...
The physics of the environment provide a rich spatiotemporal structure for our experience. Objects m...
Prior knowledge about the visual world can change how a visual stimulus is processed. Two forms of p...
Neurons in the primary visual cortex (V1) receive sensory inputs that describe small, local regions ...
<div><p>A popular model of visual perception states that coarse information (carried by low spatial ...
A commonly held view about neurons in early visual cortex is that they serve as localized feature de...
An appealing hypothesis suggests that neurons represent inputs in a coordinate system that is matche...
A popular model of visual perception states that coarse information (carried by low spatial frequenc...
Contains fulltext : 214020.pdf (publisher's version ) (Open Access)Humans can rapi...
Contains fulltext : 194822.pdf (publisher's version ) (Open Access)Prediction play...
When making a turn at a familiar intersection, we know what items and landmarks will come into view....
Contains fulltext : 207343.pdf (publisher's version ) (Open Access)Perception and ...
Learning the structure of the environment is critical for interpreting the current scene and predict...
Over repeated exposure to particular visual search displays, subjects are able to implicitly extract...
This repository contains all materials, data and code that are relevant to replicate the results rep...
This repository contains all (raw) data and code necessary to replicate the results reported in: Ric...
The physics of the environment provide a rich spatiotemporal structure for our experience. Objects m...
Prior knowledge about the visual world can change how a visual stimulus is processed. Two forms of p...
Neurons in the primary visual cortex (V1) receive sensory inputs that describe small, local regions ...
<div><p>A popular model of visual perception states that coarse information (carried by low spatial ...
A commonly held view about neurons in early visual cortex is that they serve as localized feature de...
An appealing hypothesis suggests that neurons represent inputs in a coordinate system that is matche...
A popular model of visual perception states that coarse information (carried by low spatial frequenc...