The different temporal dynamics of emotions are critical to understand their evolutionary role in the regulation of interactions with the surrounding environment. Here, we investigated the temporal dynamics underlying the perception of four basic emotions from complex scenes varying in valence and arousal (fear, disgust, happiness and sadness) with the millisecond time resolution of Electroencephalography (EEG). Event-related potentials were computed and each emotion showed a specific temporal profile, as revealed by distinct time segments of significant differences from the neutral scenes. Fear perception elicited significant activity at the earliest time segments, followed by disgust, happiness and sadness. Moreover, fear, disgust and hap...
The temporal dynamics of the neural activity that implements the dimensions valence and arousal duri...
Emotion regulation strategies are thought to have differential impact on emotional experience as a c...
The aim of the present dissertation was to reveal the spatio-temporal processing of dynamic and stat...
The different temporal dynamics of emotions are critical to understand their evolutionary role in th...
The different temporal dynamics of emotions are critical to understand their evolutionary role in th...
International audienceWhereas facial emotion recognition protocols have shown that each discrete emo...
How is emotion represented in the brain: is it categorical or along dimensions? In the present study...
The aim of the present study is to investigate the relationship between the time course of brain act...
Background Emotion arises from integrating information about the external world with memories of pas...
The aim of the present study is to investigate the relationship between the time course of brain act...
While naturalistic stimuli, such as movies, better represent the complexity of the real world and ar...
Emotions are fundamentally temporal processes dynamically changing over time. This temporal nature i...
Being able to classify experienced emotions by identifying distinct neural responses has tremendous ...
Being able to classify experienced emotions by identifying distinct neural responses has tremendous ...
Recognizing emotion in faces is important in human interaction and survival, yet existing studies do...
The temporal dynamics of the neural activity that implements the dimensions valence and arousal duri...
Emotion regulation strategies are thought to have differential impact on emotional experience as a c...
The aim of the present dissertation was to reveal the spatio-temporal processing of dynamic and stat...
The different temporal dynamics of emotions are critical to understand their evolutionary role in th...
The different temporal dynamics of emotions are critical to understand their evolutionary role in th...
International audienceWhereas facial emotion recognition protocols have shown that each discrete emo...
How is emotion represented in the brain: is it categorical or along dimensions? In the present study...
The aim of the present study is to investigate the relationship between the time course of brain act...
Background Emotion arises from integrating information about the external world with memories of pas...
The aim of the present study is to investigate the relationship between the time course of brain act...
While naturalistic stimuli, such as movies, better represent the complexity of the real world and ar...
Emotions are fundamentally temporal processes dynamically changing over time. This temporal nature i...
Being able to classify experienced emotions by identifying distinct neural responses has tremendous ...
Being able to classify experienced emotions by identifying distinct neural responses has tremendous ...
Recognizing emotion in faces is important in human interaction and survival, yet existing studies do...
The temporal dynamics of the neural activity that implements the dimensions valence and arousal duri...
Emotion regulation strategies are thought to have differential impact on emotional experience as a c...
The aim of the present dissertation was to reveal the spatio-temporal processing of dynamic and stat...