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Adaptive Brain Lab
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Research
Research overview
Seeing in 3D.
Adaptive Brain Circuits
Adaptive Brain Circuits overview
Brain networks and dynamics in visual adaptation
Ultra high-field mechanisms of sensory adaptation across cortical depth
Ultra-high field imaging of perceptual learning and human brain plasticity
Modelling human learning with matching learning
Learning and brain plasticity across the lifespan.
Learning to see and predict.
Learning to see and predict. overview
Interventions for Efficient Learning
Practice Makes Perfect
Decision strategies for statistical learning
Learning to predict.
AI for precision mental health
AI for precision mental health overview
Machine learning for neurocognitive profiling in ageing
Artificial networks for predicting lifelong brain health
Modelling prognostic trajectories in Alzheimer's disease
CLIC Research
EDoN
Funding
Funding overview
Flexible perception: functional plasticity mechanisms in the human brain.
Adaptive decision templates in the human brain.
Adaptive Brain Computations.
Laminar-PL
Laminar-PL overview
Research Objectives
Key results and figures - STAR Protocols
Key results and figures - Current Biology
PRISM: Perceptual Representation of Illumination, Shape & Material.
Decoding dorsal depth processing in the human brain.
Learning and brain plasticity: understanding individual variability across the lifespan.
Unified probabilistic modelling of adaptive spatial-temporal structures in the human brain.
Lifelong learning and cortical plasticity in the human brain.
Research into Ageing: Categorical Decisions in the Ageing Human Brain.
Classification Decisions in Machines and Human brains.
Research into Ageing: Categorical Decisions in the Ageing Human Brain.
Foraging Behavior in children: A new way to understand attentional development.
Applying causal interventions to brain networks underlying adaptive perceptual decision making.
Explaining the heterogeneity and topography in inferior temporal cortex with deep neural networks
Perceiving in depth: the intersection of minds and machines.
Machine learning in cognitive health and disease.
AI for precision mental health
ABC project
ABC project overview
ABC Members
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Collaborations
Collaborations overview
Unified probabilistic modelling of adaptive spatial-temporal structures in the human brain.
Learning shapes the processing of biological movements in the human visual cortex.
Uncertainty and Invariance in the Human Visual Cortex.
Development of visually evoked cortical activity in infant macaque monkeys studied longitudinally with fMRI.
Machine learning tools for personalised diagnosis in dementia.
Flexible perception: functional plasticity mechanisms in the human brain.
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Participate overview
i-ABC: A Personalised Learning Study
i-ABC: A Personalised Learning Study overview
iABC Further Information
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Adaptive Brain Lab
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Read more
at: Presentation (title TBC), by Elizabeth Michael
Presentation (title TBC), by Elizabeth Michael
Wednesday, 7 June, 2017 -
16:00
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17:30
Read more
at: Presentation (title TBC), by Kelly Diederen
Presentation (title TBC), by Kelly Diederen
Wednesday, 13 July, 2016 -
16:00
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16:30
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at: Presentation (title TBC), by Yarin Gal
Presentation (title TBC), by Yarin Gal
Friday, 10 June, 2016 -
16:00
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17:30
Read more
at: Presentation (title TBC), by Aiden Loe
Presentation (title TBC), by Aiden Loe
Wednesday, 18 May, 2016 -
16:00
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17:30
Read more
at: Presentation (title TBC), by Pietro Lio
Presentation (title TBC), by Pietro Lio
Wednesday, 27 April, 2016 -
13:00
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14:30
Read more
at: Presentation: 'Inhibitory mechanisms for visual learning', by Polytimi Frangou
Presentation: 'Inhibitory mechanisms for visual learning', by Polytimi Frangou
Wednesday, 13 April, 2016 -
16:00
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17:30
Read more
at: Presentation: 'Searching for early neuroimaging biomarkers of neurodegenerative dementia' by Su Li
Presentation: 'Searching for early neuroimaging biomarkers of neurodegenerative dementia' by Su Li
Wednesday, 16 March, 2016 -
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Read more
at: Presentation: 'TMS-evoked EEG response as a measure of cortical reactivity in the transition from waking to sleep' by Valdas Noreika
Presentation: 'TMS-evoked EEG response as a measure of cortical reactivity in the transition from waking to sleep' by Valdas Noreika
Wednesday, 9 March, 2016 -
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Read more
at: Presentation: 'Statistical learning project: update on the different approaches' by Monica Gates & Ignacio Perez-Pozuelo
Presentation: 'Statistical learning project: update on the different approaches' by Monica Gates & Ignacio Perez-Pozuelo
Wednesday, 2 March, 2016 -
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at: Presentation: 'Models of competition in the developing nervous system' by Stephen Eglen
Presentation: 'Models of competition in the developing nervous system' by Stephen Eglen
Wednesday, 24 February, 2016 -
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