Robert A. McDougal

TL;DR: A future for neuroscience is predicted increasingly fueled by new technology and high performance computation, and increasingly in need of comprehensive user-friendly databases such as ModelDB to provide the means to integrate the data for deeper insights into brain function in health and disease.

TL;DR: The NetPyNE tool provides both programmatic and graphical interfaces to develop data-driven multiscale network models in NEURON, and facilitates model sharing by exporting and importing standardized formats (NeuroML and SONATA).

TL;DR: Human Neocortical Neurosolver (HNN) has a graphical user interface designed to help researchers and clinicians interpret the neural origins of MEG/EEG and its ability to associate signals across scales makes it a unique tool for translational neuroscience research.

TL;DR: The Reaction-Diffusion (rxd) module in Python as mentioned in this paper provides specification and simulation for these dynamics, coupled with the electrophysiological dynamics of the cell membrane, allowing arbitrary reaction formulas to be specified using Python syntax, which are then transparently compiled into bytecode that uses NumPy for fast vectorized calculations.

TL;DR: Open Source Brain is a platform for sharing, viewing, analyzing, and simulating standardized models from different brain regions and species, and it is demonstrated how existing components can be reused by constructing new models of inhibition-stabilized cortical networks that match recent experimental results.