Research interests

Future directions in systems & computational neuroscience.

My future research focuses on how learned predictive structures are expressed in neural activity, when they are revised, and how they contribute to affect and self-representation.

Fluorescently labelled neurons in mouse prefrontal cortex
Fluorescently labelled cortical neurons. Image credit ↓

Learning & predictive representations

How does repeated experience stabilise predictive representations that guide perception and action?

Conceptual brain circuit illustration of recurrent sensory, association, memory and action-selection processes.
Conceptual relationships; node positions do not specify anatomical localisation.View full size ↗
Selected references 4 papers

Uncertainty & rule updating

How does the brain decide whether unexpected evidence reflects noise or a change in the underlying rule?

Conceptual brain circuit illustration of sensory evidence, current rules, uncertainty and neuromodulation, with noise and rule-change alternatives.
Conceptual relationships; node positions do not specify anatomical localisation.View full size ↗
Selected references 4 papers

Interoception, affect & self-representation

How do learned expectations shape the neural representation of bodily states and the self?

Conceptual illustration of recurrent interactions among bodily signals, interoception, affect and self-representation.
Conceptual relationships; node positions do not specify anatomical localisation.View full size ↗
Selected references 4 papers

Images: mouse cerebellum by Sbrandner, public domain (sidebar; displayed crop). Interstellar neurons by Luisa Demarchi, Ilaria Bertocchi and Alessandra Oberto, CC BY-SA 4.0 (displayed crop).