Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience
Authors
Keywords
-
Journal
Scientific Reports
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-11-20
DOI
10.1038/s41598-020-77117-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Emotion Perception in Hadza Hunter-Gatherers
- (2020) Maria Gendron et al. Scientific Reports
- Variability in the analysis of a single neuroimaging dataset by many teams
- (2020) Rotem Botvinik-Nezer et al. NATURE
- Context-aware experience sampling reveals the scale of variation in affective experience
- (2020) Katie Hoemann et al. Scientific Reports
- Resynthesizing behavior through phylogenetic refinement
- (2019) Paul Cisek Attention Perception & Psychophysics
- The Default Mode Network’s Role in Discrete Emotion
- (2019) Ajay B. Satpute et al. TRENDS IN COGNITIVE SCIENCES
- SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
- (2018) Alberto Fernandez et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories.
- (2018) Erika H. Siegel et al. PSYCHOLOGICAL BULLETIN
- Distributed affective space represents multiple emotion categories across the human brain
- (2018) Heini Saarimäki et al. Social Cognitive and Affective Neuroscience
- Representation, Pattern Information, and Brain Signatures: From Neurons to Neuroimaging
- (2018) Philip A. Kragel et al. NEURON
- Maps of subjective feelings
- (2018) Lauri Nummenmaa et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Primary Interoceptive Cortex Activity during Simulated Experiences of the Body
- (2018) Christine D. Wilson-Mendenhall et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Historical pitfalls and new directions in the neuroscience of emotion
- (2017) Lisa Feldman Barrett et al. NEUROSCIENCE LETTERS
- Emotions as discrete patterns of systemic activity
- (2017) Lauri Nummenmaa et al. NEUROSCIENCE LETTERS
- Self-report captures 27 distinct categories of emotion bridged by continuous gradients
- (2017) Alan S. Cowen et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature
- (2017) Denes Szucs et al. PLOS BIOLOGY
- Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences
- (2016) Gal Raz et al. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE
- Principal component analysis: a review and recent developments
- (2016) Ian T. Jolliffe et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Functionalism cannot save the classical view of emotion
- (2016) Lisa Feldman Barrett Social Cognitive and Affective Neuroscience
- How should neuroscience study emotions? by distinguishing emotion states, concepts, and experiences
- (2016) Ralph Adolphs Social Cognitive and Affective Neuroscience
- Discrete Neural Signatures of Basic Emotions
- (2015) Heini Saarimäki et al. CEREBRAL CORTEX
- Intrinsic connectivity in the human brain does not reveal networks for ‘basic’ emotions
- (2015) Alexandra Touroutoglou et al. Social Cognitive and Affective Neuroscience
- Multivariate neural biomarkers of emotional states are categorically distinct
- (2015) Philip A. Kragel et al. Social Cognitive and Affective Neuroscience
- A Bayesian Model of Category-Specific Emotional Brain Responses
- (2015) Tor D. Wager et al. PLoS Computational Biology
- Allocating structure to function: the strong links between neuroplasticity and natural selection
- (2014) Michael L. Anderson et al. Frontiers in Human Neuroscience
- A Common Neural Code for Perceived and Inferred Emotion
- (2014) A. E. Skerry et al. JOURNAL OF NEUROSCIENCE
- Population coding of affect across stimuli, modalities and individuals
- (2014) Junichi Chikazoe et al. NATURE NEUROSCIENCE
- Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data
- (2014) Jeremy R. Manning et al. PLoS One
- Variety in emotional life: within-category typicality of emotional experiences is associated with neural activity in large-scale brain networks
- (2014) Christine D. Wilson-Mendenhall et al. Social Cognitive and Affective Neuroscience
- Exploring emotions using invasive methods: review of 60 years of human intracranial electrophysiology
- (2014) Sean A. Guillory et al. Social Cognitive and Affective Neuroscience
- Large-scale brain networks in affective and social neuroscience: towards an integrative functional architecture of the brain
- (2013) Lisa Feldman Barrett et al. CURRENT OPINION IN NEUROBIOLOGY
- Power failure: why small sample size undermines the reliability of neuroscience
- (2013) Katherine S. Button et al. NATURE REVIEWS NEUROSCIENCE
- Identifying Emotions on the Basis of Neural Activation
- (2013) Karim S. Kassam et al. PLoS One
- On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data
- (2013) Marijke Welvaert et al. PLoS One
- The brain basis of emotion: A meta-analytic review
- (2012) Kristen A. Lindquist et al. BEHAVIORAL AND BRAIN SCIENCES
- Data-driven functional clustering reveals dominance of face, place, and body selectivity in the ventral visual pathway
- (2012) Edward Vul et al. JOURNAL OF NEUROPHYSIOLOGY
- The effect of spatial smoothing on fMRI decoding of columnar-level organization with linear support vector machine
- (2012) Masaya Misaki et al. JOURNAL OF NEUROSCIENCE METHODS
- Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis
- (2012) J. Gonzalez-Castillo et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A functional architecture of the human brain: emerging insights from the science of emotion
- (2012) Kristen A. Lindquist et al. TRENDS IN COGNITIVE SCIENCES
- Discrete emotions predict changes in cognition, judgment, experience, behavior, and physiology: A meta-analysis of experimental emotion elicitations.
- (2011) Heather C. Lench et al. PSYCHOLOGICAL BULLETIN
- Neural reuse: A fundamental organizational principle of the brain
- (2010) Michael L. Anderson BEHAVIORAL AND BRAIN SCIENCES
- Autonomic specificity of basic emotions: Evidence from pattern classification and cluster analysis
- (2010) Chad L. Stephens et al. BIOLOGICAL PSYCHOLOGY
- Correspondence of the brain's functional architecture during activation and rest
- (2009) S. M. Smith et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now