Intrinsic connectivity in the human brain does not reveal networks for 'basic'emotions
A Touroutoglou, KA Lindquist… - Social cognitive and …, 2015 - academic.oup.com
We tested two competing models for the brain basis of emotion, the basic emotion theory
and the conceptual act theory of emotion, using resting-state functional connectivity …
and the conceptual act theory of emotion, using resting-state functional connectivity …
Developing an understanding of emotion categories: Lessons from objects
How and when infants and young children begin to develop emotion categories is not yet
well understood. Research has largely treated the learning problem as one of identifying …
well understood. Research has largely treated the learning problem as one of identifying …
The sense of should: A biologically-based framework for modeling social pressure
What is social pressure, and how could it be adaptive to conform to others' expectations?
Existing accounts highlight the importance of reputation and social sanctions. Yet, conformist …
Existing accounts highlight the importance of reputation and social sanctions. Yet, conformist …
Navigating the science of emotion
LF Barrett, C Westlin - Emotion measurement, 2021 - Elsevier
The science of emotion is muddled with a multitude of hypotheses and assumptions about
what emotions are and how they work. The standard narrative framework used in the …
what emotions are and how they work. The standard narrative framework used in the …
Mind reading and writing: the future of neurotechnology
Recent advances in neuroscience and technology have made it possible to record from
large assemblies of neurons and to decode their activity to extract information. At the same …
large assemblies of neurons and to decode their activity to extract information. At the same …
Multivoxel pattern analysis does not provide evidence to support the existence of basic emotions
E Clark-Polner, TD Johnson, LF Barrett - Cerebral Cortex, 2017 - academic.oup.com
Abstract Saarimaki et al.(2015) published a paper claiming to find the neural “fingerprints”
for anger, fear, disgust, happiness, sadness, and surprise using multivariate pattern …
for anger, fear, disgust, happiness, sadness, and surprise using multivariate pattern …
Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG
The neurological basis of affective behaviours in everyday life is not well understood. We
obtained continuous intracranial electroencephalography recordings from the human …
obtained continuous intracranial electroencephalography recordings from the human …
Emotion recognition based on high-resolution EEG recordings and reconstructed brain sources
H Becker, J Fleureau, P Guillotel… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Electroencephalography (EEG)-based emotion recognition is currently a hot issue in the
affective computing community. Numerous studies have been published on this topic …
affective computing community. Numerous studies have been published on this topic …
[HTML][HTML] Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience
Abstract Machine learning methods provide powerful tools to map physical measurements to
scientific categories. But are such methods suitable for discovering the ground truth about …
scientific categories. But are such methods suitable for discovering the ground truth about …
Deconstructing arousal into wakeful, autonomic and affective varieties
Arousal plays a central role in a wide variety of phenomena, including wakefulness,
autonomic function, affect and emotion. Despite its importance, it remains unclear as to how …
autonomic function, affect and emotion. Despite its importance, it remains unclear as to how …