BSc, MSc, PhD
BBSRC AFL Fellow
- Somerville College Fulford Junior Research Fellow
The neural and computational basis of learning and decision-making
My research is focussed on understanding the mechanisms in the human brain that underpin learning and decision-making. Most of my research is focussed on investigating how statistical information about costs (such as risk, uncertainty or effort) and benefits (such as financial rewards) are processed in the brain, particularly when we are interacting with other people.
I use a combination of cognitive neuroscience methods, such as functional Magnetic Resonance Imaging (fMRI), in conjunction with computational modelling approaches. These techniques allow me to explore basic science questions in healthy adults. I also explore individual differences in clinical and sub-clinical populations to understand more about how decision-making processes can differ in disorders of motivation and social cognition. Currently I am involved in two main projects:
- Effort, apathy and reward – Examining the relationship between individual differences in apathy and how rewards are processed, when incurring physical or cognitive costs.
- Social decision-making – Examining the processing of rewards in the cingulate cortex during social interactions, and examining the functional and connectional properties of this area in the autistic spectrum.
Effort but not Reward Sensitivity is Altered by Acute Sickness Induced by Experimental Endotoxemia in Humans.
Draper A. et al, (2018), Neuropsychopharmacology, 43, 1107 - 1118
Justify your alpha
Lakens D. et al, (2018), Nature Human Behaviour, 2, 168 - 171
Contributions of the Medial Prefrontal Cortex to Social Influence in Economic Decision-Making.
Apps MAJ. and Ramnani N., (2017), Cereb Cortex, 27, 4635 - 4648
The anatomy of apathy: A neurocognitive framework for amotivated behaviour.
Le Heron C. et al, (2017), Neuropsychologia
Prosocial apathy for helping others when effort is required.
Lockwood PL. et al, (2017), Nat Hum Behav, 1