… constrained generative, biophysical models of brain activity with anatomical connections, …
of whether we examine whole-brain connectivity data or connectivity data based on single …

… brain network model parameters are relatively stable over … of these unstable connections
would be equally effective to render … The major advantage of brain network modeling is that it …

… Consistent with this notion, multiple modeling studies have recently shown that biophysical
models constrained by regionally heterogeneous micro-architectural information, such as …

… providing differing constraints over the manner in which brain state trajectories change over
time… To effectively characterize these different dynamic modes of organization, I leverage the …

… Using the neuroinformatics platform The Virtual Brain, we … sex) brain network models (BNMs),
based on individual anatomical … good predictions of the optimal working point of the brain …

… (Rs-fMRI) is an efficient tool to examine brain network connections. Classification studies …
elements and with a priori sparse pattern imposed as an additional constraint:(2) X ˆ = min X > …

… How do we demonstrate that a brain network feature is more … inference that they are effectively
subsumed into the very … we increase the constraints imposed on the null model, we begin …

… autoencoder (VAE) model, which adds a constraint to the encoder … input, and autoregressive
flow-based models, which can … future research more effectively, this review delves into some …

… Second, NMF does not enforce an orthogonality or independence constraint and, therefore,
… more effectively model distinct subgraphs that may be jointly related via weak connections …

… To effectively ameliorate this issue, we design an adaptive rectification network (AR-Net) for
the … To evaluate the effectiveness of the AR-Net, we compare the Baseline model with the …