Testing the Common Model of Cognition as a Brain Architecture
This project aims to examine the feasibility of the Common Model of Cognition as a feasibile, high-level brain architecture. It is a joint project carried out with John Laird of the University of Michigan, Christian Lebiere of Carnegie Mellon University, and Paul Rosenbloom of the University of Southern California.
The Common Model of Cognition
The Common Model of Cognition (CMC, formerly known as the "Standard Model of the Mind") is an abstract blueprint of how basic cognitive functionalities can be put together to support human and human-like intelligence:
Analysis of the Human Connectome Project Data
To test the CMC, each of the components of the CMC is identified with one or more brain regions, and the relationships between them translated into hypothesied patterns of effective connectivity.
These patterns are then translated into a neural network model using Dynamic Causal Modeling.
These network models can then be tested against a large repository of brain imaging data, the Human Connectome Project(HCP).
The different folders in this repository describe a number of comparative analysis carried out on the HCP data.
Publications
This project resulted in the following publications:
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Stocco, A., Sibert, C., Steine-Hanson, Z., Koh, N., Laird, J. E., Lebiere, C. J., & Rosenbloom, P. (2021). Analysis of the human connectome data supports the notion of a “Common Model of Cognition” for human and human-like intelligence across domains. NeuroImage, 235, 118035.
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Wapstra, N. J., Ketola, M., Thompson, S., Lee, A., Madhyastha, T., Grabowski, T. J., & Stocco, A. (2022). Increased Basal Ganglia Modulatory Effective Connectivity Observed in Resting-State fMRI in Individuals With Parkinson’s Disease. Frontiers in Aging Neuroscience, 14.