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Adaptive Brain Lab


If you are a teenager (13-18), a young adult (19-34) or a slightly older adult (35+) and you speak English then you are eligible for our online study. The study consists of a short survey, a personalised learning task and a few online psychological tasks

Our study aims to understand what strategies individuals of different ages (from adolescence to older age) adopt in their learning and why. To address this, we developed an online task  during which individuals learn to predict the next token  in a sequence of symbols presented in a structured order. The players adopt different strategies to learn the probabilities with which given combinations of symbols appear.

In addition to the game we ask individuals to complete: a) a survey that gives us information about the player’s demographics and personality, b) cognitive tests that allow us to assess their ability for memory and cognitive flexibility as well as risk-taking behaviour. Our goal is to understand what cognitive and other traits are predictive of learning strategy in different age groups.

You can do all the tests online any time either  from  your browser (Chrome, Firefox, Safari) or by downloading  our app from Apple Store (iOS 11 and above) or Google Play. To sign up, follow this link

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Latest news

New paper by Elisa Zamboni in BioRxiv May 2020

29 May 2020

New paper by Elisa Zamboni et al is availabe at BioRxiv in which we examine fine-scale computations for adaptive processing in the human brain. Adapting to the environment statistics by reducing brain responses to repetitive sensory information is key for efficient information processing. Yet, the fine-scale computations...

New paper by Ke Jia in BioRxiv May 2020

25 May 2020

New paper by Ke Jia et al is available in BioRxiv in which we show that 7T brain imaging reveals adaptive fine-scale circuits in the human brain. Learning and experience are critical for translating ambiguous sensory information from our environments to perceptual decisions. Yet, evidence on how training molds the adult...

New paper in NeuroImage: Clinical!

4 March 2020

A new publication by Joseph Giorgio, Susan Landau, William Jagust, Peter Tino and Professor Zoe Kourtzi highlights new methods for Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease for the Alzheimer's disease Neuroimaging Initiative Read the full article: