The auditory mismatch negativity (MMN) has been considered a preattentive index of auditory processing and/or a signature of prediction error computation. This study tries to demonstrate the presence of an MMN to deviant trials included in complex auditory stimuli sequences, and its possible relationship to predictive coding. Additionally, the transfer of information between trials is expected to be represented by stimulus-preceding negativity (SPN), which would possibly fit the predictive coding framework. To accomplish these objectives, the EEG of 31 subjects was recorded during an auditory paradigm in which trials composed of stimulus sequences with increasing or decreasing frequencies were intermingled with deviant trials presenting an ...
The human brain is highly responsive to (deviant) sounds violating an auditory regularity. Respectiv...
Within the framework of statistical learning, many behavioural studies investigated the processing o...
Repetitious patterns enable the auditory system to form prediction models specifying the most likely...
AbstractThe mismatch negativity (MMN) is a brain response to violations of a rule, established by a ...
International audienceThe mismatch negativity (MMN) is thought to index the activation of specialize...
International audienceThe mismatch negativity (MMN) is thought to index the activation of specialize...
International audienceThe mismatch negativity (MMN) is thought to index the activation of specialize...
International audienceThe mismatch negativity (MMN) is thought to index the activation of specialize...
In this review, we attempt to integrate the empirical evidence regarding stimulus-specific adaptatio...
The mismatch negativity (MMN) component of the auditory event-related potential can be used to study...
Research Doctorate - Doctor of Philosophy (PhD)The auditory system is capable of extrapolating repet...
Mismatch negativity (MMN) is a component of the difference waveform derived from passive auditory od...
This thesis aims at testing the predictive coding account of auditory perception. This framework res...
This thesis aims at testing the predictive coding account of auditory perception. This framework res...
This thesis aims at testing the predictive coding account of auditory perception. This framework res...
The human brain is highly responsive to (deviant) sounds violating an auditory regularity. Respectiv...
Within the framework of statistical learning, many behavioural studies investigated the processing o...
Repetitious patterns enable the auditory system to form prediction models specifying the most likely...
AbstractThe mismatch negativity (MMN) is a brain response to violations of a rule, established by a ...
International audienceThe mismatch negativity (MMN) is thought to index the activation of specialize...
International audienceThe mismatch negativity (MMN) is thought to index the activation of specialize...
International audienceThe mismatch negativity (MMN) is thought to index the activation of specialize...
International audienceThe mismatch negativity (MMN) is thought to index the activation of specialize...
In this review, we attempt to integrate the empirical evidence regarding stimulus-specific adaptatio...
The mismatch negativity (MMN) component of the auditory event-related potential can be used to study...
Research Doctorate - Doctor of Philosophy (PhD)The auditory system is capable of extrapolating repet...
Mismatch negativity (MMN) is a component of the difference waveform derived from passive auditory od...
This thesis aims at testing the predictive coding account of auditory perception. This framework res...
This thesis aims at testing the predictive coding account of auditory perception. This framework res...
This thesis aims at testing the predictive coding account of auditory perception. This framework res...
The human brain is highly responsive to (deviant) sounds violating an auditory regularity. Respectiv...
Within the framework of statistical learning, many behavioural studies investigated the processing o...
Repetitious patterns enable the auditory system to form prediction models specifying the most likely...