July 11th, 2011 by Stephen
Coherence-based Models of Decision-Making
Over the last 10 years Dan Simon and I have collaborated on a series of studies testing a coherence-based model of decision making based on parallel constraint satisfaction processes in neural networks.
Neurobiological Bases of Risky Decision Making
I am in the middle of a NIDA funded grant in collaboration with Lynn Miller, Zhong-Lin Lu, Antoine Bechara, and Paul Robert Appleby that is examining the neurobiological bases of risky decision making in METH and non-METH using men who have sex with men (MSM). While they are in the scanner, we are examining their performance on a wide range of cognitive tasks that tap into various aspects of decision making.
Computational Modeling of Risky Decision-making
We will use the results of our fMRI studies of risky decision-making to build Neural Network models of risky decision-making.
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