… data in mice and neural tracer data from the Allen Mouse … of the true mesoscale connectome
of the mouse brain. Furthermore, we … of each brain graph was determined by optimizing the …

… are used to model neuronal projections and estimate … Herein, we will review publications
comparing anatomical tract tracing … This suggests that subject- or tract-specific optimization may …

… space, the downloaded axon tracing data of 373 neurons were converted from the original
… The network can be extended to include dMRI data acquired using optimized parameters or …

The mammalian brain is composed of densely connected and interacting regions, which
form structural and functional networks. An improved understanding of the structure–function …

… structures from brain imaging data, eg, fMRI and DTI. … thus take the advantage of large-scale
training samples. For example, … In the future, optimization approaches will be used to decide …

… neural processes through which early adversity exerts these effects remain largely unknown.
We used generative network modelling of the mouse connectome … used to optimise model …

… In a previous work for the mouse brain connectome, the … The goal of this present work is to
optimize MRH methods for … In vivo human brain DTI at submillimeter isotropic resolution (0.85 …

… or regulatory pathways within neurons to the interactions between … the connectome, the
graph nodes were determined using the … We optimized the weights for the direct and indirect …

… connectome, which is one of the most comprehensive data-sets to map mouse brain connectivity,
from anterograde viral neuronal … We successfully traced the cingulum bundle (E), fornix …

… aimed at optimizing the use of Big Data in Neuroscience and … -level topology of the brain”)
via DTI and simulation studies … brain imaging phenotypes (see, the 60 + center large-scale …