EMMANUEL HUTTON

We leverage multiple methodological approaches for investigating the psychology and neuroscience of cognition and action... The careful study of behavior is key to addressing psychological and neuroscientific questions. We use a variety of behavioral paradigms to study different aspects of action, including sensorimotor learning (e.g., force-field learning, visuomotor adaptation, etc.), reinforcement learning (e.g., bandit tasks, probabilistic RL, stimulus-response map learning, etc.), working memory paradigms, and more traditional psychophysics (e.g., evidence accumulation, sensory discriminations). Our goal is to use behavioral experiments to test novel ideas about action learning and memory... Computational modeling has many functions for our research, from generating precise behavioral and neural predictions, to simply organizing our thoughts. Our modeling approach relies on various machine learning techniques (e.g., state-space modeling, Q-learning, simple neural networks) and..