[HTML][HTML] The influences of emotion on learning and memory

CM Tyng, HU Amin, MNM Saad, AS Malik - Frontiers in psychology, 2017 - frontiersin.org
Emotion has a substantial influence on the cognitive processes in humans, including
perception, attention, learning, memory, reasoning, and problem solving. Emotion has a …

The cultural evolution of emotion

KA Lindquist, JC Jackson, J Leshin… - Nature Reviews …, 2022 - nature.com
Scholarly debates about the nature of human emotion traditionally pit biological and cultural
influences against one another. Although many existing theories acknowledge the role of …

Self-report captures 27 distinct categories of emotion bridged by continuous gradients

AS Cowen, D Keltner - … of the national academy of sciences, 2017 - National Acad Sciences
Emotions are centered in subjective experiences that people represent, in part, with
hundreds, if not thousands, of semantic terms. Claims about the distribution of reported …

The theory of constructed emotion: an active inference account of interoception and categorization

LF Barrett - Social cognitive and affective neuroscience, 2017 - academic.oup.com
The science of emotion has been using folk psychology categories derived from philosophy
to search for the brain basis of emotion. The last two decades of neuroscience research …

Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories.

EH Siegel, MK Sands, W Van den Noortgate… - Psychological …, 2018 - psycnet.apa.org
The classical view of emotion hypothesizes that certain emotion categories have a specific
autonomic nervous system (ANS)“fingerprint” that is distinct from other categories …

The discrete emotions questionnaire: A new tool for measuring state self-reported emotions

C Harmon-Jones, B Bastian, E Harmon-Jones - PloS one, 2016 - journals.plos.org
Several discrete emotions have broad theoretical and empirical importance, as shown by
converging evidence from diverse areas of psychology, including facial displays …

Transformers for EEG-based emotion recognition: A hierarchical spatial information learning model

Z Wang, Y Wang, C Hu, Z Yin, Y Song - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The spatial information of Electroencephalography (EEG) is essential for emotion
recognition model to learn discriminative feature. The convolutional networks and recurrent …

A short review on emotion processing: a lateralized network of neuronal networks

N Palomero-Gallagher, K Amunts - Brain Structure and Function, 2022 - Springer
Emotions are valenced mental responses and associated physiological reactions that occur
spontaneously and automatically in response to internal or external stimuli, and can …

The brain basis of positive and negative affect: evidence from a meta-analysis of the human neuroimaging literature

KA Lindquist, AB Satpute, TD Wager, J Weber… - Cerebral …, 2016 - academic.oup.com
The ability to experience pleasant or unpleasant feelings or to represent objects as “positive”
or “negative” is known as representing hedonic “valence.” Although scientists …

Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies

JT Buhle, JA Silvers, TD Wager, R Lopez… - Cerebral …, 2014 - academic.oup.com
In recent years, an explosion of neuroimaging studies has examined cognitive reappraisal,
an emotion regulation strategy that involves changing the way one thinks about a stimulus in …