Contact information
Research groups
Colleges
Christopher Summerfield
PhD MSc BA
Professor of Cognitive Neuroscience
- ERC Consolidator Investigator
- Staff Scientist, Deepmind
- Fellow of Wadham College
Human learning and decision-making
Research SummarY
My work is concerned with understanding how humans learn and make decisions. We study learning in adults using computer-based tasks. We are interested in how humans acquire new concepts or patterns in data, and how they use this information to make decisions in novel settings. We simulate learning processes using computational models, including deep neural nettworks, that are tasked with similar challenges. We study the brains of humans during learning and decision-making using noninvasive methods such as fMRI and EEG.
Key publications
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Dissociable prior influences of signal probability and relevance on visual contrast sensitivity.
Journal article
Wyart V. et al, (2012), Proc Natl Acad Sci U S A, 109, 3593 - 3598
Recent publications
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Zero-shot counting with a dual-stream neural network model.
Journal article
Thompson JAF. et al, (2024), Neuron
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How do (perceptual) distracters distract?
Journal article
Dumbalska T. et al, (2022), PLoS Comput Biol, 18
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Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.
Journal article
Higgins I. et al, (2021), Nat Commun, 12
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A Normative Account of Confirmation Bias During Reinforcement Learning.
Journal article
Lefebvre G. et al, (2021), Neural Comput, 1 - 31
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Normative Principles for Decision-Making in Natural Environments.
Journal article
Summerfield C. and Parpart P., (2021), Annu Rev Psychol