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Unified probabilistic modelling of adaptive spatial-temporal structures in the human brain.

Learning from experience and adapting our behaviour to new situations is a fundamental skill for our everyday interactions. But what are the brain plasticity mechanisms that mediate an individual's ability to make progress during training on complex tasks? What is it that differentiates `good' from `poor' learners in their ability to adapt? Recent advances in functional brain imaging technology provide us with the unique opportunity to study how the human brain changes with learning. However, the existing methods focus predominantly on modelling brain activity data within a single session rather than across training sessions. As such, these methods are not capable of capturing larger scale dependencies emerging in brain activity as training progresses. We will develop a novel methodology that allows holistic unified modelling of a series of brain imaging data measured during the course of learning. Using this methodology we will study brain changes that result from extensive training on complex visual tasks.

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BRAINfest: 23-25 June 2017

Jun 15, 2017

The Adaptive Brain Lab are very excited to be taking part in the University of Cambridge's first ever BRAINfest. This exciting public engagement event aims to give the general public a chance to learn and ask questions about Neuroscience first-hand from researchers at the forefront of the field.

ABL at the Cambridge Science Festival 2017

Jun 13, 2017

This March saw the return of the Cambridge Science Festival, a city wide event which showcases the variety of new and exciting science going on across Cambridge. The Adaptive Brain Lab took part, spending the day presenting our work alongside other labs from the psychology department.

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