News

Novel MRI Sequence Unlocks New Doors in Preclinical Imaging

4 February 2025

The analytical capabilities of magnetic resonance imaging (MRI) can be used in both clinical and preclinical imaging applications to understand structural and functional information with high spatial and temporal resolution. Professor Uzay Emir, Dr. Stephen Sawiak, and the teams from Purdue University, the University of...

Professor Zoe Kourtzi and Minister for AI and Digital Government

Minister for AI and Digital Government learns about our work

16 January 2025

On Monday January 20th 2025, Professor Zoe Kourtzi was delighted to discuss with the Minister for AI and Digital Government our work on AI for early dementia prediction and translation of AI to healthcare during her visit at the University of Cambridge. More information about the Minister's visit can be found via the link...

Newly Published Paper

9 September 2024

New multimodal brain imaging study reveals a recurrent inhibitory plasticity mechanism that enhances sensory representations and optimises perceptual decisions. Jia K, Wang M, Steinwurzel C, Ziminski JJ, Xi Y, Emir U, Kourtzi Z. Recurrent inhibition refines mental templates to optimize perceptual decisions. Sci Adv. 2024...

Can AI help detect dementia early and accelerate drug discovery?

15 July 2024

Our cross-disciplinary team has developed new tools that predict dementia more precisely than the standard of care https://www.cam.ac.uk/research/news/artificial-intelligence-outperforms-clinical-tests-at-predicting-progress-of-alzheimers-disease https://youtu.be/FnDsNw57kuA A digital marker powered by AI detects dementia...

Newly Published Review Paper

21 June 2024

New review paper by @CambridgeABL on opportunities and challenges of training cognitive flexibility in real-world settings https://doi.org/10.1016/j.cobeha.2024.101413 @CambPsych @CamNeuro @CamBrainCNS

Cambridge ReseARch Trail

18 March 2024

Learn more about ABL’s work as part of the 2024 Cambridge Festival. There is an augmented reality Cambridge ReseARch trail which can be followed by downloading the app, "Cambridge AR Trail", from the relevant app store or by scanning the QR codes on posters at each trail location to get exploring. Further details about the...

What is Brain Plasticity?

1 March 2024

The Adaptive Brain Lab features in BBC's Brain Hacks. https://www.bbc.co.uk/iplayer/episode/ m001qr3k/brain-hacks to find more details.

AI-deas for better lifelong brain and mental health: a cross-disciplinary hub to tackle early prediction of brain and mental health disorders

9 February 2024

Brain diseases and mental health disorders are taking a toll on people throughout their lives. We develop and translate innovative AI tools to better understand brain health and disease. We explore the environmental, social and neurological factors at play, to develop responsible AI-driven tools that help clinicians...

a new exciting paper published!

1 April 2023

Exciting paper by @CambridgeABL showing that pulvinar myelin plasticity interacts with GABAergic inhibition to support learning and perceptual decision making. https://doi.org/10.1371/journal.pbio.3002029 Ziminski, J.J., Frangou, P., Karlaftis, V.M., Emir, U., and Kourtzi, Z. (2023). Microstructural and neurochemical...

New paper by Adrian Ng, Ke Jia et al in Journal of Neuroscience

14 October 2021

Ultra-High-Field Neuroimaging Reveals Fine-Scale Processing for 3D Perception Binocular vision plays a significant role in supporting our interactions with the surrounding environment. The fine-scale neural mechanisms that underlie the brain’s skill in extracting 3D structure from binocular signals are poorly understood...

Adaptive Brain Lab

Novel MRI Sequence Unlocks New Doors in Preclinical Imaging

Minister for AI and Digital Government learns about our work

Newly Published Paper

Can AI help detect dementia early and accelerate drug discovery?

Newly Published Review Paper

Cambridge ReseARch Trail

What is Brain Plasticity?

AI-deas for better lifelong brain and mental health: a cross-disciplinary hub to tackle early prediction of brain and mental health disorders

a new exciting paper published!

New paper by Adrian Ng, Ke Jia et al in Journal of Neuroscience

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