Surprising scenarios can have different behavioural and neuronal consequences depending on the violation of the expectation. On the one hand, previous research has shown that the omission of a visual stimulus results in a robust cortical response representing that missing stimulus, a so-called negative prediction error. On the other hand, a large amount of studies revealed positive prediction error signals, entailing an increased neural response that can be attributed to the experience of a surprising, unexpected stimulus. However, there has been no evidence, so far, regarding how and when these prediction error signals co-occur. Here, we argue that the omission of an expected stimulus can and often does coincide with the appearance of an u...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Infrequent events, such as unexpected absence of outcomes (prediction errors), have a detrimental ef...
In the framework of visual cognition and predictive coding models, we tested the hypotheses that vis...
Visual cognition is thought to rely heavily on contextual expectations. Accordingly, previous studie...
Visual cortex is traditionally viewed as a hierarchy of neural feature detectors, with neural popula...
The brain generates internal models of the world to interpret incoming information and predict futur...
Emerging evidence indicates that prediction, instantiated at different perceptual levels, facilitate...
Predictive coding theories of perception highlight the importance of constantly updated internal mod...
International audienceWhile the neuronal activation in the medial frontal cortex is thought to refle...
International audienceRecent work casts Repetition Suppression (RS), i.e. the reduced neural respons...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Prediction errors are deemed necessary for the updating of internal models of the environment, promp...
Abstract As we gather noisy sensory information from the environment, prior knowledge about the like...
According to predictive accounts of perception, visual cortical regions encode sensory expectations ...
Humans and other animals can learn and exploit repeating patterns that occur within their environmen...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Infrequent events, such as unexpected absence of outcomes (prediction errors), have a detrimental ef...
In the framework of visual cognition and predictive coding models, we tested the hypotheses that vis...
Visual cognition is thought to rely heavily on contextual expectations. Accordingly, previous studie...
Visual cortex is traditionally viewed as a hierarchy of neural feature detectors, with neural popula...
The brain generates internal models of the world to interpret incoming information and predict futur...
Emerging evidence indicates that prediction, instantiated at different perceptual levels, facilitate...
Predictive coding theories of perception highlight the importance of constantly updated internal mod...
International audienceWhile the neuronal activation in the medial frontal cortex is thought to refle...
International audienceRecent work casts Repetition Suppression (RS), i.e. the reduced neural respons...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Prediction errors are deemed necessary for the updating of internal models of the environment, promp...
Abstract As we gather noisy sensory information from the environment, prior knowledge about the like...
According to predictive accounts of perception, visual cortical regions encode sensory expectations ...
Humans and other animals can learn and exploit repeating patterns that occur within their environmen...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Infrequent events, such as unexpected absence of outcomes (prediction errors), have a detrimental ef...
In the framework of visual cognition and predictive coding models, we tested the hypotheses that vis...