In models reconstructed from MRI scans of patients with embolic stroke of undetermined source, computational simulations reveal that fibrosis has the intrinsic capacity to sustain arrhythmia drivers when subjected to triggered activity known to exist in patients with atrial fibrillation.
A comprehensive, data-driven and interpretable nonlinear computational modeling framework based on deep neural networks uncovers different nonlinear transformations of speech signal in the human auditory cortex.
Attenuated anticipatory activity in ventromedial prefrontal cortex is modulated by dopamine D1 receptor density in nucleus accumbens, and accounts for impaired probabilistic reward learning in older adults.
The ion channel genealogy resource is a comprehensive and intuitive comparison tool for ion channel models and experimental data, helping to visualize their similarity and function to facilitate better experimentally-constrained modeling.
A novel computation tool for microbial community modeling predicts the evolution and diversification of E. coli in laboratory evolution experiments and gives insight into the underlying metabolic processes.