- Summerfield Lab Research Group
PhD MSc BA
Professor of Cognitive Neuroscience
- ERC Starter Investigator
- Fellow of Wadham College
Neural and computational bases of human decision-making
My work is concerned with understanding the neural and comptutational mechanisms that underlie human perception and cognition. The main function of the nervous system is to select an appropriate action in response to incoming sensory information. In my lab, we attempt to understand how this occurs by using simple judgment tasks in which participants view a visual stimulus and classify it into one of two categories (i.e. is this grating tilted leftwards or rightwards? Is this face male or female?). We begin by measuring behaviour (choices and response times), eye movments and pupil diameter, and performing computer simulations to try to provide a mechanistic account of how information is transformed en route from sensation to action. Subsequently, we record brain activity using electroencephalography (EEG) or functional magnetic resonance imaging (fMRI), which can help validate the computational model and identify how it is implemented in the neural circuitry of the human brain.
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
Feature-Based Attention and Feature-Based Expectation.
Summerfield C. and Egner T., (2016), Trends Cogn Sci, 20, 401 - 404
Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network.
Balaguer J. et al, (2016), Neuron, 90, 893 - 903
Rhythmic gain control during supramodal integration of approximate number.
Spitzer B. et al, (2016), Neuroimage, 129, 470 - 479
Near-optimal Integration of Magnitude in the Human Parietal Cortex.
Tickle H. et al, (2016), J Cogn Neurosci, 28, 589 - 603
Economic irrationality is optimal during noisy decision making.
Tsetsos K. et al, (2016), Proc Natl Acad Sci U S A, 113, 3102 - 3107