My research aims to better understand the neural and computational mechanisms underpinning symptoms of mood and anxiety disorders, with a particular focus on repetitive negative thought patterns. My lab applies methods from computational and cognitive neuroscience, such as computational modelling and neuroimaging, to capture aspects of learning and decision-making that play a role in the genesis of these conditions. In tandem, we seek to improve behavioural measurement of these processes via more naturalistic, gamified assessment methods.

Please see my Research Staff Profile for more detail.

Find out more about my research:

• The Wise Lab

Key Publications:

• Wise et al., 2023. Identifying transdiagnostic mechanisms in mental health using computational factor modelling. Biol. Psychiatry. 
• Wise et al., 2023. Interactive cognitive maps support flexible behavior under threat. Cell Reports.
• Wise et al., 2023. Naturalistic reinforcement learning. Trends Cogn.
• Wise et al., 2021. Model-based aversive learning in humans is supported by preferential task state reactivation. Sci. Adv.
• Wise et al., 2020. Associations between aversive learning processes and transdiagnostic psychiatric symptoms in a general population sample. Nat. Commun. 

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