Abstract
We constrained the binding problem by creating maps of different attributes. We compared the performance of different models with different maps in our current study. Our preliminary results showed that the performance of the model is the highest when location maps were used. These results suggest that the optimal way to constrain the binding problem is to create location maps of different attributes.
Keywords
the binding problem, maps
Recommended Citation
Han, Zhixian and Sereno, Anne, "Constraining the Binding Problem Using Maps" (2023). MODVIS Workshop. 2.
https://docs.lib.purdue.edu/modvis/2023/session03/2
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Cognitive Psychology Commons, Cognitive Science Commons, Computational Neuroscience Commons
Constraining the Binding Problem Using Maps
We constrained the binding problem by creating maps of different attributes. We compared the performance of different models with different maps in our current study. Our preliminary results showed that the performance of the model is the highest when location maps were used. These results suggest that the optimal way to constrain the binding problem is to create location maps of different attributes.