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Exploring the steps of learning: Computational modeling of initiatory-actions among individuals with Attention-Deficit/Hyperactivity Disorder
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Description: This project is part of Gili Katabi PhD work. It contains the following components: data repository, task code, Github analysis scripts, manuscript and SI.
Abstract: ADHD is characterized by a difficulty to act in a goal directed manner. Even though most tasks in natural environments require a sequence of actions to be acted in order to obtain a goal, ADHD was never studied in the context of value-based sequence learning. Here, we made use of current advancements in hierarchical reinforcement learning algorithms to track the internal value and choice…
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