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[HTML][HTML] Inference in the age of big data: Future perspectives on neuroscience
Neuroscience is undergoing faster changes than ever before. Over 100 years our field
qualitatively described and invasively manipulated single or few organisms to gain …
qualitatively described and invasively manipulated single or few organisms to gain …
Membrane resistance and shunting inhibition: where biophysics meets state‐dependent human neurophysiology
Activation of neurons not only changes their membrane potential and firing rate but as a
secondary action reduces membrane resistance. This loss of resistance, or increase of …
secondary action reduces membrane resistance. This loss of resistance, or increase of …
Functional mechanisms of recovery after chronic stroke: modeling with the virtual brain
We have seen important strides in our understanding of mechanisms underlying stroke
recovery, yet effective translational links between basic and applied sciences, as well as …
recovery, yet effective translational links between basic and applied sciences, as well as …
[HTML][HTML] Using connectomics for predictive assessment of brain parcellations
The organization of the human brain remains elusive, yet is of great importance to the
mechanisms of integrative brain function. At the macroscale, its structural and functional …
mechanisms of integrative brain function. At the macroscale, its structural and functional …
Quantifying functional connectivity in multi‐subject fMRI data using component models
Functional magnetic resonance imaging (fMRI) is increasingly used to characterize
functional connectivity between brain regions. Given the vast number of between‐voxel …
functional connectivity between brain regions. Given the vast number of between‐voxel …
[HTML][HTML] Multi-subject stochastic blockmodels for adaptive analysis of individual differences in human brain network cluster structure
There is considerable interest in elucidating the cluster structure of brain networks in terms
of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle …
of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle …
Infinite von Mises–Fisher mixture modeling of whole brain fMRI data
Cluster analysis of functional magnetic resonance imaging (fMRI) data is often performed
using gaussian mixture models, but when the time series are standardized such that the …
using gaussian mixture models, but when the time series are standardized such that the …
Probabilistic clustering of the human connectome identifies communities and hubs
A fundamental assumption in neuroscience is that brain function is constrained by its
structural properties. This motivates the idea that the brain can be parcellated into …
structural properties. This motivates the idea that the brain can be parcellated into …
Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model
Understanding the differences between functional and structural human brain connectivity
has been a focus of an extensive amount of neuroscience research. We employ a novel …
has been a focus of an extensive amount of neuroscience research. We employ a novel …
[HTML][HTML] An Edge-Based Approach to Partitioning and Overlap** Graph Clustering with User-Specified Density
Graph clustering has received considerable attention recently, and its applications are
numerous, ranging from the detection of social communities to the clustering of computer …
numerous, ranging from the detection of social communities to the clustering of computer …