PhD MSc BA
Professor of Cognitive Neuroscience
- ERC Consolidator Investigator
- Staff Scientist, Deepmind
- Fellow of Wadham College
Human learning and decision-making
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.
Dissociable prior influences of signal probability and relevance on visual contrast sensitivity.
Wyart V. et al, (2012), Proc Natl Acad Sci U S A, 109, 3593 - 3598
If deep learning is the answer, what is the question?
Saxe A. et al, (2021), Nat Rev Neurosci, 22, 55 - 67
Selective Integration during Sequential Sampling in Posterior Neural Signals.
Luyckx F. et al, (2020), Cereb Cortex
Where Does Value Come From?
Juechems K. and Summerfield C., (2019), Trends Cogn Sci, 23, 836 - 850
Causal Inference in the Multisensory Brain.
Cao Y. et al, (2019), Neuron, 102, 1076 - 1087.e8
Human noise blindness drives suboptimal cognitive inference.
Herce Castañón S. et al, (2019), Nat Commun, 10