… In this review, we are particularly interested in how dMRI data are used to model neuronal
… This suggests that subject- or tract-specific optimization may dramatically improve accuracy. …

… are taken up by neurons and axonally transported, allowing assessment of the location, …
2014 Large-scale topology and the default mode network in the mouse connectome. PNAS …

… will thus take the advantage of large-scale training samples. For example… For comparison,
the same inputs will be firstly optimized by … DBN is a hierarchical neural network that can learn …

… 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 …

… analysis looking at large-scale neural networks. This have … at the lower level is not as
optimized as at the cervical level (… Adding diffusion tensor imaging (DTI) to simultaneous fMRI or …

… The goal of this present work is to optimize MRH methods for … are dense with small stellate
neurons, interneurons, and glia … In vivo human brain DTI at submillimeter isotropic resolution (…

… 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 …

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

… in MRI and related modalities like DTI and fMRI. For example, … -resolution sections from the
mouse brain with Nissl contrast (39), … tools for emerging large-scale neuroimaging datasets. …

… Also approaches using coupled neural … (DTI) and resting-state functional Magnetic
Resonance Imaging (fMRI). We subsequently analyse both approaches in terms of an optimization …