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Using machine learning (AI) techniques to analyse complex cohort data, a group of researchers uncovered hidden patterns in cohort data that might identify those at risk of developing dementia, or indicate promising areas for research into treatments.
Translational NeuroStimulation Laboratory
Anxiety Behaviour Brain function Brain imaging Cognitive models Decision-making Depression Disorders Evidence based treatment Experimental Functional imaging Information processing Magnetic Resonance Imaging (MRI) Mood Neuroscience Psychological therapy Psychology Therapy
We aim to understand processes of selective attention and action, learning and memory in the human brain. Through experiments in healthy volunteers and patients with brain disorders we seek to characterize how information processing networks respond (adaptively or maladaptively) when challenged by interference. Our motivation is to develop rational neurocognitive intervention strategies to help promote recovery from conditions such as depression and brain injury.