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.
The combination of computational modeling and protein design can reveal key determinants of antibody–antigen binding and optimize small sets of antigen variants for efficient experimental localization of epitopes.