Recent advances in Deep convolutional Neural Networks (DNNs) have enabled researchers to create accurate computation models of brain activity. DNNs present an exciting opportunity to understand how the brain coordinates various cognitive functions, such as visual processing and object recognition—indeed, some DNNs can achieve human-level performance on object categorisation. In this study, researchers aimed to […]
Age-related slowing of the brain is caused by structural decline
As we age, it’s common for our thinking to become slower as a result of changes in the brain. But how, exactly, does this happen? In this study, researchers aimed to establish a direct relationship between neural slowing and brain atrophy. They combined magnetoencephalographic (MEG) measures of brain processing speed with magnetic resonance imaging (MRI) […]
New study investigates brain representation of multi-step tasks: Default mode & multiple-demand systems show different preference for whole tasks and single steps
Achieving one’s goals requires knowing what to do and when. Tasks are typically hierarchical, with smaller steps nested within overarching goals. For effective, flexible behaviour, the brain must represent both levels. This study uses functional magnetic resonance imaging (fMRI) to contrast response time-courses and information content of two major cortical systems – the multiple-demand (MD) […]
Large-scale modelling study in chronic post-stroke aphasia
Neuroimaging has radically improved our understanding of how speech and language abilities map to the brain in normal and impaired participants, including the diverse, graded variations observed in post-stroke aphasia. MRC CBU’s Matt Lambon Ralph and Ajay Halai have been working alongside Anne Williams from University of Manchester, and have begun a handful of studies […]