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13 FEBRUARY 2014:
Announcing Computational Psychiatry Course 2014
Computational psychiatry is a new interdisciplinary field which seeks to characterize mental disorders in terms of aberrant computations at multiple scales. In recent years the field of human neuroscience, particularly functional neuroimaging, has begun to address the underlying neurobiology of changes in brain function related to psychiatric disease. This effort has produced some exciting early discoveries, but it has also highlighted the need for computational models that can bridge the explanatory gap between pathophysiology and psychopathology. The expertise and quantitative tools required to address this gap exist only across disciplines, combining skills and knowledge from investigators and clinicians that are jointly interested in solving problems of mental health.
This Computational Psychiatry course aims to bring together experts in neuroscience, psychiatry, decision sciences and computational modelling to define problems quantitatively in psychiatric disorder, and to train the next generation of scientists and clinicians that wish to apply these models to modern diagnosis and treatment strategies. Understanding mental function in computational terms will provide a deeper, more quantitative, insight into the mechanistic underpinnings of healthy and diseased cognition.
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