Neural population dynamics during reaching

Getting a better understanding of how motor neurons work. This sounds similar to what Sebastian Seung talks about in Connectome.
Abstract here;
http://www.nature.com/nature/journal/vaop/ncurrent/full/nature11129.html
More understandable news story here;
http://www.newswise.com/articles/rhythmic-firing-of-nerves-involved-in-body-s-movements

Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis

I think this means that the 10% use of the brain is blown completely out of the water. If you look at my colored fMRI scans further down in the blog you can see brightly colored active areas all over my brain when I was trying to move my ankle up and down to follow a cursor with my foot.
I'm not sure how I can use this information  but it's interesting.
http://www.pnas.org/content/109/14/5487

Abstract

The brain is the body's largest energy consumer, even in the absence of demanding tasks. Electrophysiologists report on-going neuronal firing during stimulation or task in regions beyond those of primary relationship to the perturbation. Although the biological origin of consciousness remains elusive, it is argued that it emerges from complex, continuous whole-brain neuronal collaboration. Despite converging evidence suggesting the whole brain is continuously working and adapting to anticipate and actuate in response to the environment, over the last 20 y, task-based functional MRI (fMRI) have emphasized a localizationist view of brain function, with fMRI showing only a handful of activated regions in response to task/stimulation. Here, we challenge that view with evidence that under optimal noise conditions, fMRI activations extend well beyond areas of primary relationship to the task; and blood-oxygen level-dependent signal changes correlated with task-timing appear in over 95% of the brain for a simple visual stimulation plus attention control task. Moreover, we show that response shape varies substantially across regions, and that whole-brain parcellations based on those differences produce distributed clusters that are anatomically and functionally meaningful, symmetrical across hemispheres, and reproducible across subjects. These findings highlight the exquisite detail lying in fMRI signals beyond what is normally examined, and emphasize both the pervasiveness of false negatives, and how the sparseness of fMRI maps is not a result of localized brain function, but a consequence of high noise and overly strict predictive response models.