… and dynamic activity of neurons and brain regions and how … the many structural traces left
as a result of neuronal activity. … for compiling large-scale maps of the human connectome, we …

… 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 …

… are used for large scale simulations of neuron populations … undirected graph derived from
DTI and tractographic data. Here, … tracing publications of the rat brain have been evaluated to …

… -brain streamline tractography was conducted on each DTI image … large-scale neuronal
tracing data, such as the Allen Mouse … and parameters could be potentially optimized in order to …

… connectome [39], ie, the full “wiring diagram” of the brain … parameter, which enables
optimized computation, going from … visual analysis of large-scale connectomics data based on a …

… that neurons encode sensory information using a small … out a grid search on the optimized
parameters (Supplementary … the relationship between the mouse brain connectomes and the …

… 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 …