Causal circuit mechanisms of decision formation in the human brain

How does the brain transform sensory information into decisions? Decision formation emerges from the interaction of multiple processes, including attentional selection, evidence integration, and response preparation, yet the underlying circuit mechanisms remain incompletely understood. This project will take a causal, integrative approach by combining high-density EEG, computational modelling, and non-invasive brain stimulation, with a particular focus on transcranial focused ultrasound (FUS). Using well-established perceptual paradigms, we will test how targeted perturbations of candidate brain regions influence behaviour, inferred decision parameters, and temporally resolved neural dynamics. By linking neural activity to computational models and behaviour, the project aims to move beyond correlational inference and establish a mechanistic account of how distributed brain systems support decision formation. This work will provide a foundation for understanding how these processes may be altered in clinical conditions. PhD candidates will receive training in advanced EEG analysis, computational modelling, and cutting-edge neuromodulation within a collaborative and internationally connected research environment. The project is well suited to students interested in rigorous, quantitative, and causal approaches to human neuroscience.