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
The WU-Minn Human Connectome Project has provided an immensely powerful resource of 1000 adult subjects functional and structural imaging data, all projected to the surface. This resource has already begun to generate high impact publications and huge leap forwards in understand macroscale brain structure and its influences on human behaviour . Nevertheless the data sets… Continue reading ***Unofficial*** Guide to the HCP surface file formats
Let’s say you have run a functional imaging experiment on a group of different subjects: you have asked all the subjects to perform a task in the scanner, and you want to know whether the response of all subjects to that task is the same. For example, you have some healthy subjects, and some with… Continue reading Multimodal Surface Matching (MSM): a flexible tool for aligning generic data on the cortical surface
It seems that many people are having trouble compiling Kolmogorov’s QPBO MRF optimisation library for Mac OS, and clang. So, I thought I’d post some tips on how I did it, albeit with considerable help from those more knowledgeable in good c++ practice than myself! There seems to be a problem with the implementation of… Continue reading Tricks to Implementing QPBO and the ELC: MRF optimisation library
Simple models of functional or structural connectivity are insufficient to fully characterise the macroscale connectome. This was the overriding message conveyed from a series of talks organised at Imperial this week, starting with two excellent methods talks from FMRIB Oxford, and culminating in an inspiring overview of connectome research: past, present and future from Professor… Continue reading The future of connectome modelling lies in multi-modal imaging
Our understanding of Autism, and its variants, has grown rapidly since it was first discussed by Hans Asperger and Leo Kanner in the 1930s and 40s. Yet, although only half of those diagnosed with the condition experience intellectual disability, there is still stigma attached to the condition. In a new book (NeuroTribes: The Legacy of Autism and the… Continue reading Autism spectrum disorder: An Ethical dilemma facing connectomics research?