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Research projects
 

The role of basal ganglia rythms in cognitive processing

This research project explores rythms and synchrony in the basal ganglia, and how these rythms are affected by learning.

Knowledge representation and generalization

This research project aims at exploring how learning condition affects knowledge representation, and how the learned representation affects transfer performance in new tasks.

Collaborator: Shawn Ell.

The cognitive neuroscience of rule-guided behavior

This research aims at studying the different stages of rule-based processing (e.g., rule learning, rule automaticity, etc.) using neuroimaging, behavioral, and neurocomputational techniques. The resulting biologically-detailed computational model will eventually be integrated into a more complete brain network.

Collaborators: Greg Ashby, Shawn Ell, Todd Maddox.

Neurocomputational modeling of sequence learning

This project aims at developing a complete model of sequence learning and automatic sequence production that can simulate data at many different levels of analysis, such as single cells recording, behavioral data, fMRI data, etc.

Collaborator: Greg Ashby.

The role of visual attention in categorization

The goal of this research is twofold. First, this research aims at specifying the time course of the rule-based and the procedural systems in the COVIS theory of categorization. A second goal of this project aims at identifying the differential effect of distracting material in these two categorization systems.

Collaborators: Denis Cousineau.

Simulating the effect of dopamine imbalance on cognitive function

Data suggest that prefrontal dopamine levels are related to cognitive stability whereas striatal dopamine levels are related to cognitive plasticity. With such a wide ranging role, almost all cognitive activities should be affected by dopamine levels in the brain. This project involves the simulation of known dopamine imbalance such as Parkinson's disease and positive affect.

Collaborator: Greg Ashby.