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A Distributed Spiking Neuron Model of Attention in the Stroop Task

Ms. Emilie Elizabeth Caron
University of Waterloo ~ Psychology
Terry Stewart
National Research Council of Canada

We present a spiking neuron-based model of the Stroop task where the attention mechanism is entirely implemented with distributed representations. This is done by using the Neural Engineering Framework and the associated Semantic Pointer Architecture to implement a selective attention mechanism. The resulting system exhibits the Stroop effect, as well as the associated Facilitation and Interference effects. In contrast with previous models, these effects are not generated via a localist competition mechanism. Rather, these effects are a result of controlled unbinding of information from a combined distributed representation.

response time distributions Last updated 3 years ago

Very nice work! I was wondering what the response time distributions look like. Do they look like what is observed in humans? How do those depend on accumulation time? And is the accumulation time comparable to human data on e.g., time pressure?

Dr. Marieke Van Vugt 1 comment
Unpacking attention Last updated 3 years ago

Very nice work! I enjoyed your presentation, and the analysis of the influence of different parameters. What remains a question is: how is attention controlled (i.e., what mechanisms sets the 0.7 * color + 0.3 * word), and why would that mechanism not be capable of just setting it to color. You address this a bit with the alternative with the direc...

Dr. Niels Taatgen 3 comments
Cite this as:

Caron, E., & Stewart, T. (2020, July). A Distributed Spiking Neuron Model of Attention in the Stroop Task. Paper presented at Virtual MathPsych/ICCM 2020. Via