Unsupervised Thinking
a podcast about neuroscience, artificial intelligence and science more broadly

Wednesday, November 2, 2016

Episode 14: Computational Psychiatry

Computational psychiatry is a field in its infancy, but it offers potential to change the way mental disorders are diagnosed, treated, and understood. In this episode, we cover the different components of computational psychiatry, compare and contrast it to computational neuroscience (and old-school psychiatry), and discuss which of its promises are actually likely to be fulfilled. In particular, we get into:
-online games that inform diagnoses
-models of learning mechanisms that can explain disorder
-machine learning techniques that advise treatment plans
-neural circuit mechanisms that can('t) explain disease

We read:
TiCS Computational Psychiatry
Computational psychiatry as a bridge from neuroscience to clinical treatments
Characterizing a psychiatric symptom dimension related to deficits in goal-directed control

To listen to (or download) this episode, (right) click here

As always, our jazzy theme music "Quirky Dog" is courtesy of Kevin MacLeod (incompetech.com) 

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