Projects per year
Personal profile
Biography
I joined the School of Psychology in 2017. I read psychology at Bristol University and was later awarded an M.Sc. in cognitive science from Birmingham University and Ph.Ds from St. Andrews University (field primatology) and Plymouth University (cognitive neuroscience)
Key Research Interests
At present, my research interests revolve around the cognitive processes underlying decision making ("what should I do?") and reinforcement learning ("how did it work out for me?"). My recent papers have looked at neural correlates of these processes and increasingly tend to use computational models. I have tended to use small monetary gambles as the means to study these processes but am now beginning to use primary reinforcers such as food and pain.
I am also interested in the role that habit plays in guiding our decision making behaviour
However I have worked in other areas, including field studies of primate social behaviour and assessment of bilingual language acquisition
Research supervision
I am interested in supervising lab-based projects that test theories about how people judge the value of received outcomes and the prospect of future outcomes. These theories are drawn from behavioural economics, neuroeconomics and good old fashioned instrumental conditioning. I use EEG (MSc and PhD only) and computational modelling of behaviour of decision making tasks.
Example projects are given below
PhD Students
Harry Stewardson 2019-2023
Harry investigated the neural basis of reinforcement learning by running two large scale EEG experiments using rewards (money) and punishments (bursts of white noise and electric shocks) and performing two meta-analyses. This resulted in four publications
MSc Students
Kerri Margrets-Kelly 2023
Kerri is currently running an EEG experiment to investigate how reinforcement learning adjusts to different scales of reward
Examples of undergraduate projects I have supervised
Spontaneous blinking rate as a mediator between tonic dopamine levels and measures of reward sensitivity. This is an ongoing interest. Undergraduates: Please get in touch if you are interested in dopamine
Deficits in depression: Exploring the effect of anhedonia on model-based learning (School of Psychology best undergraduate dissertation winner 2020)
Psychological health symptomologies do not predict sensitivity to punishment in aversive learning
BMI and reinforcement learning in the context of sweet vs. savoury high-calorie foods
Teaching Interests
Module Leader: Evolutionary Psychology (Year 3)
Lecturer: Cognitive and Biological Psychology (Year 2)
Seminar Leader: Psychology Lab Skills (M.Sc.)
Administrative Posts
Chair of the Psychology Research Ethics Committee
Collaborations and top research areas from the last five years
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aeon: a toolkit for machine learning with time series
Sami, S., Renoult, L. & Sambrook, T.
Engineering and Physical Sciences Research Council
1/08/23 → 30/09/25
Project: Research
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aeon: a toolkit for machine learning with time series
Bagnall, T., Renoult, L., Sambrook, T. & Sami, S.
Engineering and Physical Sciences Research Council
1/10/22 → 31/07/23
Project: Research
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Deaggregating reward punishment and utility in the human brain: an fMRI study
Experimental Psychology Society
1/09/17 → 11/04/18
Project: Research
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Valence precedes value in neural encoding of prediction error
Stewardson, H. & Sambrook, T. D., Jul 2023, In: Psychophysiology. 60, 7, e14266.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Citations (Scopus)13 Downloads (Pure) -
Reward, salience, and agency in event-related potentials for appetitive and aversive contexts
Stewardson, H. J. & Sambrook, T. D., Nov 2021, In: Cerebral Cortex. 31, 11, p. 5006–5014 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)26 Downloads (Pure) -
Reward prediction error in the ERP following unconditioned aversive stimuli
Stewardson, H. J. & Sambrook, T. D., 7 Oct 2021, In: Scientific Reports. 11, 19912.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)13 Downloads (Pure) -
Evidence for parietal reward prediction errors using great grand average meta-analysis
Stewardson, H. J. & Sambrook, T. D., Jun 2020, In: International Journal of Psychophysiology. 152, p. 81-86 6 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus)17 Downloads (Pure) -
Model-free and model-based reward prediction errors in EEG
Sambrook, T. D., Hardwick, B., Wills, A. J. & Goslin, J., Sep 2018, In: NeuroImage. 178, p. 162-171 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile21 Citations (Scopus)31 Downloads (Pure)