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Neurologically, affect regulation can be localised in the prefrontal cortex, the area responsible for emotion management. [14] The prefrontal cortex aids the control of the limbic system which is the home of the amygdala, the part of the brain which is believed to be central to the processing of our emotions. [15]
Affect labeling is an implicit emotional regulation strategy that can be simply described as "putting feelings into words". Specifically, it refers to the idea that explicitly labeling one's, typically negative, emotional state results in a reduction of the conscious experience, physiological response, and/or behavior resulting from that emotional state. [1]
This pathway is involved in cognition and the regulation of executive functions (e.g., attention, working memory, inhibitory control, planning, etc.) This intricate neural circuit serves as a crucial communication route within the brain, facilitating the transmission of dopamine, a neurotransmitter associated with reward, motivation, and ...
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Raichle coined the term "default mode" in 2001 to describe resting state brain function; [19] the concept rapidly became a central theme in neuroscience. [20] Around this time the idea was developed that this network of brain areas is involved in internally directed thoughts and is suspended during specific goal-directed behaviors.
A common additional task is to have the participant learn a new set of associations with the cued items and study the amount of interference from prior association that occurs. These experiments help to develop theories on how we learn associations and what conditions affect that learning. [5] The free recall does not use item pairs.
Emotions are categorized into various affects, which correspond to the current situation. [30] An affect is the range of feeling experienced. [31] Both positive and negative emotions are needed in our daily lives. [32] Many theories of emotion have been proposed, [33] with contrasting views. [34]
Visual object recognition refers to the ability to identify the objects in view based on visual input. One important signature of visual object recognition is "object invariance", or the ability to identify objects across changes in the detailed context in which objects are viewed, including changes in illumination, object pose, and background context.