Paper: | PS-2A.32 |
Session: | Poster Session 2A |
Location: | Symphony/Overture |
Session Time: | Friday, September 7, 17:15 - 19:15 |
Presentation Time: | Friday, September 7, 17:15 - 19:15 |
Presentation: |
Poster
|
Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
Paper Title: |
Constructing neural-level models of behavior in working memory tasks |
Manuscript: |
Click here to view manuscript |
DOI: |
https://doi.org/10.32470/CCN.2018.1199-0 |
Authors: |
Zoran Tiganj, Nathanael Cruzado, Marc W. Howard, Boston University, United States |
Abstract: |
Constrained by results from classic behavioral experiments we provide a neural-level cognitive architecture for navigating memory and decision making space as a cognitive map. We propose a canonical microcircuit that can be used as a building block for working memory, decision making and cognitive control. The controller controls gates to route the flow of information between the working memory and the evidence accumulator and sets parameters of the circuits. We show that this type of cognitive architecture can account for results in behavioral experiments such as judgment of recency and delayed-match-to-sample. In addition, the neural dynamics generated by the cognitive architecture provides a good match with neurophysiological data from rodents and monkeys. |