MSM is an advanced tool for cortical surface mapping, which has been shown to outperform competing methods for the alignment of multimodal data, proving fundamental to the development of the Human Connectome Project’s Multimodal Parcellation of the Human Cerebral Cortex (Nature 2016) Although there is already support for use of this method via a page on… Continue reading Advanced features of MSM: a guide
Recently, I had the good fortune of benefitting from some media training from by http://www.mediawoman.co.uk/. This was an empowering experience, providing straightforward, easy to implement guidance of how to prepare for media interview. My main takeaway being: prepare (at most) 3-4 key messages, which you deliver with clear, simple language, in at most 3 short… Continue reading Does Brexit spell catastrophe for science?
The period of rapid cortical expansion during fetal and early neonatal life is a crucial time over which the brain’s surface transforms from a smooth sheet to a highly convoluted surface. During this time, the cellular foundations of our advanced cognitive abilities are mapped out, as connections start to form between distant regions, myelinating, and… Continue reading Learning from models of the developing cortex
Neuroscience research is a vital source of inspiration for the design of Artificial Intelligence (AI) systems. Whilst, ultimately there is no reason that biological networks represent the only successful blueprint of a cognitive system, at this time they are the best available model. Accordingly, detailed understanding of the primate visual system has framed design for… Continue reading The symbiotic relationship between neuroscience and machine learning
I have argued in the past that fMRI studies are limited by ‘oversimplified assumptions made during pre-processing’ That, by modelling all human brains from the same broad topological structure (enforcing a constant number of functionally specialised regions, organised in a consistent pattern across all brains) we are not capturing true inter-subject variability in cortical organisation.… Continue reading Are variations in Functional Connectivity strength driven by variations in spatial topography?
Its ironic really – how divisive initiatives for Equality and Diversity can be, but sitting in an Inclusion Matters workshop, led by the EPSRC this week, I couldn’t help but be struck by the strength of emotions many people have on this topic. Nobody can deny that academic careers aren’t inherently tough on everyone, and so… Continue reading Inclusion Matters
Due to the immense complexity of the brain’s neural network, research into the brain is performed at a hierarchy of scales. One common holistic approach is to model the brain, at a coarse scale, as consisting of a relatively small number of functionally specialised regions, connected in a network, known as the connectome. Recent advances… Continue reading The Cortical Explorer – A Web-based user-interface for the exploration of the human cerebral cortex
Functional Magnetic Resonance Imaging (fMRI) has been under intense scrutiny this summer following concerns over the replicability, and claims that up to 40, 000 studies may be invalidated by poor statistics . Unfortunately, despite being a powerful resource for non-invasive exploration of brain function, fMRI signals are an indirect measure of brain activity, that suffer from many… Continue reading Forget weak statistics, fMRI studies suffer from oversimplified assumptions made during pre-processing
I recently write a blog post for Lab news describing my take on the HCP multimodal cortical parcellation. You can find it here
***note the slides that accompanied the Imperial Festival Presentation of this theme*** are attached here With the sudden emergence of real-world artificial intelligence (AI) applications such as Google DeepMind’s #alphago, decisively beating human Go champion, Lee Sedol; Samsung releasing an AI for breast cancer detection ; and Microsoft announcing a deep learning application for the blind… Continue reading Clever Robots: Understanding Artificial Intelligence in the context of our own minds