Perception is characterized by a reciprocal exchange of predictions and prediction error signals between neural regions. However, the relationship between such sensory mismatch responses and hierarchical predictive processing has not yet been demonstrated at the neuronal level in the auditory pathway. We recorded single-neuron activity from different auditory centers in anaesthetized rats and awake mice while animals were played a sequence of sounds, designed to separate the responses due to prediction error from those due to adaptation effects. Here we report that prediction error is organized hierarchically along the central auditory pathway. These prediction error signals are detectable in subcortical regions and increase as the signals ...
Predictive coding is an influential theory of neural processing underlying perceptual inference. How...
Predictive coding is an influential theory of neural processing underlying perceptual inference. How...
Brain function can be conceived as a hierarchy of generative models that optimizes predictions of se...
In this review, we attempt to integrate the empirical evidence regarding stimulus-specific adaptatio...
Predictive processing, a leading theoretical framework for sensory processing, suggests that the bra...
Neural mismatch responses have been proposed to rely on different mechanisms, including prediction e...
Neural mismatch responses have been proposed to rely on different mechanisms, including prediction e...
Neural mismatch responses have been proposed to rely on different mechanisms, including prediction e...
Neural mismatch responses have been proposed to rely on different mechanisms, including prediction e...
International audienceAccording to hierarchical predictive coding models, the cortex constantly gene...
International audienceAccording to hierarchical predictive coding models, the cortex constantly gene...
[EN]The mismatch negativity (MMN) is a key biomarker of automatic deviance detection thought to emer...
Sensory systems must account for both contextual factors and prior experience to adaptively engage w...
The auditory cortex (AC) encompasses distinct fields subserving partly different aspects of sound pr...
[EN] A remarkable ability of animals that is critical for survival is to detect and respond to to un...
Predictive coding is an influential theory of neural processing underlying perceptual inference. How...
Predictive coding is an influential theory of neural processing underlying perceptual inference. How...
Brain function can be conceived as a hierarchy of generative models that optimizes predictions of se...
In this review, we attempt to integrate the empirical evidence regarding stimulus-specific adaptatio...
Predictive processing, a leading theoretical framework for sensory processing, suggests that the bra...
Neural mismatch responses have been proposed to rely on different mechanisms, including prediction e...
Neural mismatch responses have been proposed to rely on different mechanisms, including prediction e...
Neural mismatch responses have been proposed to rely on different mechanisms, including prediction e...
Neural mismatch responses have been proposed to rely on different mechanisms, including prediction e...
International audienceAccording to hierarchical predictive coding models, the cortex constantly gene...
International audienceAccording to hierarchical predictive coding models, the cortex constantly gene...
[EN]The mismatch negativity (MMN) is a key biomarker of automatic deviance detection thought to emer...
Sensory systems must account for both contextual factors and prior experience to adaptively engage w...
The auditory cortex (AC) encompasses distinct fields subserving partly different aspects of sound pr...
[EN] A remarkable ability of animals that is critical for survival is to detect and respond to to un...
Predictive coding is an influential theory of neural processing underlying perceptual inference. How...
Predictive coding is an influential theory of neural processing underlying perceptual inference. How...
Brain function can be conceived as a hierarchy of generative models that optimizes predictions of se...