Depression has been associated with increased response times at the incongruent, neutral, and negative-word trials of the classical and emotional Stroop tasks (Epp et al., 2012). Response time slow-down effects at incongruent and negative-word trials of the Stroop tasks were reported to correlate with depressive severity, indicating strong relevance of the effects to the symptomatology. The current study proposes a novel integrative computational model of neural mechanisms of both the classical and the emotional Stroop effects, drawing on the previous prominent theoretical explanations of performance at the classical Stroop task (Cohen et al., 1990; Herd et al., 2006), and in addition suggesting that negative emotional words represent condi...
We re-examined a modified emotional Stroop task that included an additional colour-word alongside th...
Depressed individuals frequently display disruptions in selective attention, but the time course and...
We present a neural network model of stimulus processing, which uses a mechanism of adaptive attenti...
Depression has been associated with increased response times at the incongruent, neutral, and negati...
Behavioural studies have demonstrated that the emotional Stroop task is a valuable tool for investig...
A mood-congruent sensitivity towards negative stimuli has been associated with development and maint...
PubMed ID: 26272019Word-Face Stroop task creates emotional conflict between affective words and affe...
The current research investigated differences in reactive and proactive cognitive control as a funct...
Previous research attempted to account for the emotional Stroop effect based on connectionist models...
Background. Depression is characterized by poor executive function, but – counterintuitively – in so...
peer reviewedPrevious research suggests that emotional stimuli capture attention and guide behavior ...
The current research investigated differences in reactive and proactive cognitive control as a funct...
<div><p>We re-examined a modified emotional Stroop task that included an additional colour-word alon...
Every day planning and execution of goal-directed human performance is dependent upon cognitive and ...
The emotional Stroop task (EST) is a widely used method in demonstrating how emotional material disr...
We re-examined a modified emotional Stroop task that included an additional colour-word alongside th...
Depressed individuals frequently display disruptions in selective attention, but the time course and...
We present a neural network model of stimulus processing, which uses a mechanism of adaptive attenti...
Depression has been associated with increased response times at the incongruent, neutral, and negati...
Behavioural studies have demonstrated that the emotional Stroop task is a valuable tool for investig...
A mood-congruent sensitivity towards negative stimuli has been associated with development and maint...
PubMed ID: 26272019Word-Face Stroop task creates emotional conflict between affective words and affe...
The current research investigated differences in reactive and proactive cognitive control as a funct...
Previous research attempted to account for the emotional Stroop effect based on connectionist models...
Background. Depression is characterized by poor executive function, but – counterintuitively – in so...
peer reviewedPrevious research suggests that emotional stimuli capture attention and guide behavior ...
The current research investigated differences in reactive and proactive cognitive control as a funct...
<div><p>We re-examined a modified emotional Stroop task that included an additional colour-word alon...
Every day planning and execution of goal-directed human performance is dependent upon cognitive and ...
The emotional Stroop task (EST) is a widely used method in demonstrating how emotional material disr...
We re-examined a modified emotional Stroop task that included an additional colour-word alongside th...
Depressed individuals frequently display disruptions in selective attention, but the time course and...
We present a neural network model of stimulus processing, which uses a mechanism of adaptive attenti...