Auditory deviance detection in humans is indexed by the mismatch negativity (MMN), a component of the auditory evoked potential (AEP) of the electroencephalogram (EEG) occurring at a latency of 100-250 ms after stimulus onset. However, by using classic oddball paradigms, differential responses to regularity violations of simple auditory features have been found at the level of the middle latency response (MLR) of the AEP occurring within the first 50 ms after stimulus (deviation) onset. These findings suggest the existence of fast deviance detection mechanisms for simple feature changes, but it is not clear whether deviance detection among more complex acoustic regularities could be observed at such early latencies. To test this, we examine...
In this study we compared the amplitude, latency, and spatial distribution of the mismatch negativit...
Prompt detection of unexpected changes in the sensory environment is critical for survival. In the a...
Abstract—A key component in computational analysis of the auditory environment is the detection of n...
Auditory deviance detection in humans is indexed by the mismatch negativity (MMN), a component of th...
Auditory deviance detection in humans is indexed by the mismatch negativity (MMN), a component of th...
The detection of deviant sounds is a crucial function of the auditory system and is reflected by the...
The detection of deviant sounds is a crucial function of the auditory system and is reflected by the...
The mismatch negativity (MMN) provides a correlate of automatic auditory discrimination in human aud...
The detection of deviant sounds is a crucial function of the auditory system and is reflected by the...
Mismatch negativity (MMN) is generated by sounds violating a regular sequence of events including si...
Humans can detect various anomalies in a sound sequence without attending to each dimension explicit...
International audienceAuditory change detection has been associated with mismatch negativity (MMN), ...
An acoustic stimulus elicits an electroencephalographic response called auditory event-related poten...
Infrequent deviant sounds appearing in a repeated, ordered sequence of standard sounds elicit the Mi...
Infrequent deviant sounds appearing in a repeated, ordered sequence of standard sounds elicit the Mi...
In this study we compared the amplitude, latency, and spatial distribution of the mismatch negativit...
Prompt detection of unexpected changes in the sensory environment is critical for survival. In the a...
Abstract—A key component in computational analysis of the auditory environment is the detection of n...
Auditory deviance detection in humans is indexed by the mismatch negativity (MMN), a component of th...
Auditory deviance detection in humans is indexed by the mismatch negativity (MMN), a component of th...
The detection of deviant sounds is a crucial function of the auditory system and is reflected by the...
The detection of deviant sounds is a crucial function of the auditory system and is reflected by the...
The mismatch negativity (MMN) provides a correlate of automatic auditory discrimination in human aud...
The detection of deviant sounds is a crucial function of the auditory system and is reflected by the...
Mismatch negativity (MMN) is generated by sounds violating a regular sequence of events including si...
Humans can detect various anomalies in a sound sequence without attending to each dimension explicit...
International audienceAuditory change detection has been associated with mismatch negativity (MMN), ...
An acoustic stimulus elicits an electroencephalographic response called auditory event-related poten...
Infrequent deviant sounds appearing in a repeated, ordered sequence of standard sounds elicit the Mi...
Infrequent deviant sounds appearing in a repeated, ordered sequence of standard sounds elicit the Mi...
In this study we compared the amplitude, latency, and spatial distribution of the mismatch negativit...
Prompt detection of unexpected changes in the sensory environment is critical for survival. In the a...
Abstract—A key component in computational analysis of the auditory environment is the detection of n...