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Research within the laboratory focuses on the neural mechanisms
underlying cognitive control, and its disturbance in psychiatric
illnesses such as schizophrenia. Below is a sampling of current
research within the lab.
Emotion and Cognition in Moral Judgment
We are using fMRI
and other techniques to investigate the psychological and neural
processes that produce moral judgments. Our research focuses on
the interaction between emotion and cognition. In the first phase
of this research we used fMRI to demonstrate that moral judgments
vary systematically in the extent to which they engage emotional
processes. At present we are examining the neural correlates of
internal moral conflict and looking for patterns of neural activity
that predict moral judgment.
Neuronal Mechanisms for Decision Optimization
Decision making is a frequent element of life of animals and humans. The
accuracy and speed of the decisions may be crucially important for survival.
Therefore, evolutionary pressure promotes animals making optimal decisions,
and hence it is plausible that decision networks in the brain have parameters
resulting in the optimal performance. Our research focuses on mathematical
analysis of neural network models of decision processes in the brain. We ask
what neuronal networks and what values of their parameters allows making
decisions with the maximum accuracy and in the shortest time. We seek the
network architecture allowing optimal decisions, and the optimal values of
parameters such as: decision threshold, neuronal gain, and decision bias.
Executive Control
Executive control refers to our ability to maintain and update abstract goals that
guide our behavior at a more concrete level. In a sense, executive control refers
to the most abstract goal that binds together concrete sub-goals. Inability to do
so has severe consequences for simple every-day behavior, consequences which include
distractibility and perseverance. The interplay of these two factors is the focus
of our research. We are interested in mapping out processes that underlie efficient
reconfiguration of goals (i.e., 'task-sets') when we change the focus of our
attention. Of particular relevance to this issue is the task-switching paradigm,
which calls on the basic components of executive control (as defined above),
maintenance of the relevant task-set and updating to a novel task-set on a switch
trial. We are using this paradigm to investigate how, and at what conceptual level,
information from the last task is maintained - and how it affects the upcoming
trial. We are investigating both behavior and brain activity (fMRI). In conjunction
we use connectionist models to simulate the process of interest - to fit data and
theory - and to generate empirical predictions.
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