Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

560
Stanley Schachter and Jerome Singer proposed the two-factor theory of emotion, which emphasizes the interplay between physiological arousal and cognitive labeling in forming emotional experiences. This theory suggests that emotions are not simply a result of physiological responses but rather a combination of these responses and the individual's cognitive interpretation of them.
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences...
560
Labeling Emotion01:20

Labeling Emotion

228
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
228
Physiology of Emotion01:20

Physiology of Emotion

1.2K
The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
Autonomic Nervous System
The autonomic nervous system (ANS) plays a critical role in emotional responses by regulating involuntary physiological functions. It consists of two main components: the sympathetic and parasympathetic systems. The sympathetic system...
1.2K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

235
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
235

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-frequency oscillations in intraoperative recordings from hybrid arrays with micro- and macrocontacts.

Journal of neural engineering·2026
Same author

Investigation of blood-brain barrier penetration and pharmacokinetics of a new formulation of cyanide antidote dimethyl trisulfide.

Toxicology and environmental health sciences·2025
Same author

Master classes of the tenth international brain-computer interface meeting: showcasing the research of BCI trainees.

Journal of neural engineering·2025
Same author

Supracortical Microstimulation: Advances in Microelectrode Design and In Vivo Validation.

Annual review of biomedical engineering·2025
Same author

Intan Technologies integrated circuits can produce analog-to-digital conversion artifacts that affect neural signal acquisition.

Journal of neural engineering·2024
Same author

BCI-Utility Metric for Asynchronous P300 Brain-Computer Interface Systems.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2023

Related Experiment Video

Updated: Aug 29, 2025

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
08:17

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

Published on: April 12, 2018

10.7K

The Effects of Word Priming on Emotion Classification from Neurological Signals.

Cecilia Schmitz, Taylor Sweet, David E Thompson

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
    Summary

    This study developed a novel affective brain-computer interface (aBCI) by having participants classify facial emotions. Priming improved accuracy, achieving over 90% classification rates with electroencephalogram (EEG) data.

    More Related Videos

    Brain Imaging Investigation of the Memory-Enhancing Effect of Emotion
    15:57

    Brain Imaging Investigation of the Memory-Enhancing Effect of Emotion

    Published on: May 4, 2011

    16.7K
    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
    05:38

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

    Published on: June 29, 2021

    2.5K

    Related Experiment Videos

    Last Updated: Aug 29, 2025

    A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
    08:17

    A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

    Published on: April 12, 2018

    10.7K
    Brain Imaging Investigation of the Memory-Enhancing Effect of Emotion
    15:57

    Brain Imaging Investigation of the Memory-Enhancing Effect of Emotion

    Published on: May 4, 2011

    16.7K
    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
    05:38

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

    Published on: June 29, 2021

    2.5K

    Area of Science:

    • Neuroscience
    • Affective Computing
    • Human-Computer Interaction

    Background:

    • Affective states significantly influence human behavior and decision-making.
    • Existing affective brain-computer interface (aBCI) studies often face dataset imbalances due to inconsistent elicited emotions.
    • Participant-centric emotion elicitation in aBCI can be unreliable across diverse populations.

    Purpose of the Study:

    • To investigate a novel aBCI paradigm for reliable emotion classification.
    • To explore the impact of word priming (matching and mismatched) on facial emotion recognition accuracy using EEG.
    • To develop a robust emotion classifier leveraging advanced deep learning models.

    Main Methods:

    • Participants classified emotions from facial expression images, avoiding self-elicitation.
    • Electroencephalogram (EEG) data were recorded and processed.
    • A Big Transfer (BiT-M R101x1) model was employed for image classification, incorporating primed stimuli.
    • Separate classifier models were trained for matched and mismatched primed images.

    Main Results:

    • Primed images significantly enhanced overall classification accuracy.
    • Classifier models for both matched and mismatched primed images achieved accuracies exceeding 90%.
    • Similar high accuracies were obtained when using true image labels versus participant-generated labels.

    Conclusions:

    • Measuring brain activity during the classification of others' emotions offers a consistent and reliable aBCI approach.
    • The proposed paradigm overcomes the limitations of self-elicited emotions in aBCI.
    • High, balanced classification accuracies are achievable with this novel experimental design and deep learning integration.