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Adaptive Brain Lab

 

How does the brain piece together information from the senses to interact with a rapidly changing world? This key brain activity underlies important skills such as recognising friends, categorizing objects, moving our bodies to interact with or avoid interesting or dangerous objects and working out where we are in the world.
Work in the Adaptive Brain Lab examines the brain mechanisms underlying our ability to perceive the structure of the world around us. We work on the basic premise that human perception is an active process that relies on the brain bringing together different pieces of sensory information and knowledge gained from past experience. We aim to understand how humans of all ages translate sensory experience into complex decisions and adaptive behaviours by taking into account previous experience and learning.

We address this challenge using an interdisciplinary approach that combines behavioural paradigms, movement recording, multimodal brain imaging (MRI, EEG, MEG, TMS) and state-of-the-art computational methods. We apply these techniques to study the young and ageing brain and understand adaptive behaviours across the lifespan.

 

Latest news

Reporting from Cambridge Science Festival 2019

19 March 2019

This March saw the return of the Cambridge Science Festival 2019. This is an annual, city wide event which showcases the variety of new and exciting science going on across Cambridge. Members of the Adaptive Brain Lab enjoyed hosting a stall in the Department of Psychology for the day on Saturday 16 March. Visitors enjoyed...

New paper in Nature Human Behaviour!

15 January 2019

A new publication by Dr. Vasilis Karlaftis, Joseph Giorgio, Dr. Andrew Welchman and Professor Zoe Kourtzi combines behavioural modelling with functional and structural brain connectivity and shows that individuals learn the structure of variable environments by employing alternate decision strategies that engage distinct brain networks:

New paper in e-Neuro!

9 January 2019

A new publication by Dr. Vasilis Karlaftis, Dr. Andrew Welchman and Professor Zoe Kourtzi answers how we extract meaningful structure and make predictions in novel environments.