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Adaptive Brain Lab


New paper by Elisa Zamboni et al in eLife

11 November 2020

Exciting work in the lab using Laminar fMRI reveals that adaptive processing involves recurrent processing within visual cortex and top-down influences from posterior parietal cortex via feedback. elife_figure_final_resized.png

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2 x Research Associate or Assistant positions in Cognitive Computational Neuroimaging

29 October 2020

Exciting opportunity to work with Prof Zoe Kourtzi at the Adaptive Brain Lab. The positions will focus on advanced ultra high-field neuroimaging (e.g. 7T brain imaging: laminar fMRI, MR Spectroscopy) in combination with computational modelling (Bayesian modelling, reinforcement learning, machine learning), human...

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Opening of Centre for Lifelong Learning and Individualised Cognition (CLIC)

13 October 2020

A new research centre focused on improving support for lifelong learning and cognitive agility opened on 1 October 2020 in Singapore. The Centre for Lifelong Learning and Individualised Cognition (CLIC) is a collaboration between the University of Cambridge and the Nanyang Technological University, Singapore, and is funded...

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Adaptive Brain Lab open for volunteer studies

22 September 2020

We are very pleased to announce that the Adaptive Brain Lab is now open and invites volunteers for studies. We have reviewed and implemented government and University guidance, and have updated our procedures to create a COVID secure testing environment. Our procedures are carefully designed in order to mitigate against...

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New paper by Ke Jia et al in Current Biology

16 September 2020

Using high-field laminar fMRI, we show that learning alters orientation specific representations in superficial V1 layers and enhances connectivity from visual to parietal cortex, suggesting that recurrent visual plasticity and feedforward connectivity gate perceptual decision making.

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2 x post-doctoral Research Associate or Assistant positions in Machine Learning for Precision Mental Health

7 September 2020

Exciting opportunity to work in collaboration with The Cambridge Centre for Mathematical Imaging in Healthcare, the Alan Turing Institute, and AstraZeneca on developing machine learning approaches for early diagnosis of dementia and mental health disorders . For details and applications see:

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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...

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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...

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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:

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Read more at: Reporting from Cambridge Science Festival 2019

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...

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