Connectionist investigations of individual differences in Stroop performance

Area of Science:

• Cognitive psychology
• Computational neuroscience
• Psychology of anxiety

Background:

• The Stroop task is a common measure of cognitive control.
• High anxiety has been hypothesized to impair cognitive control via defective inhibition.
• Previous theories lack computational models to test mechanisms.

Purpose of the Study:

• To computationally model the Stroop task and investigate anxiety-related cognitive control theories.
• To explore the defective inhibition hypothesis and an alternative excitation hypothesis.
• To clarify the relationship between theoretical assumptions and empirical data in anxiety research.

Main Methods:

• A simple connectionist model simulating the Stroop task was implemented.
• The model allowed for the investigation of inhibition and excitation mechanisms.
• Simulations were used to analyze the relationship between anxiety, inhibition, and Stroop interference.

Main Results:

• Model simulations indicated a positive relationship between Stroop interference and inhibition, contrary to the defective inhibition hypothesis.
• Simulations supported an alternative excitation hypothesis, showing that stronger verbal connections to distracting stimuli correlated with increased interference.
• The model demonstrated that increased anxiety corresponds to greater interference.

Conclusions:

• Computational modeling can clarify theoretical assumptions in cognitive psychology.
• The findings challenge the defective inhibition hypothesis for high anxiety individuals.
• An excitation hypothesis, where anxiety strengthens connections to distractors, provides a better account of Stroop task performance in high anxiety individuals.
• This approach stimulates further theoretical specification and empirical research.