New features: Use hyperthreading cores in determining number of cores to run on for better performance Windows: running with WSL is much faster than native install and via Docker Analysis: Dipole data files are saved with higher precision to avoid rounding errors when dipole is very small Docker: Shared directory is now hnn_out. This directory exists in the docker container at the same path as on the host OS (e.g. /Users/me/hnn_out) instead of /home/hnn_user/hnn_out When loading files in GUI, there are shortcuts to hnn_out and source code directories Improve error checking: xauthority keys, ssh keys, open ports Refactoring of hnn_docker.sh that makes it much more robust Stop using docker-compose. Only relies on docker to manage containers Clean up hnn_docker.log formatting and remove special characters from output Ubuntu: Install script renamed to hnn-ubuntu.sh Install script works with ubuntu 14.04, 16.04 and 18.04 Use the precompiled NEURON package instead of compiling from source Log output from install script to ubuntu_install.log Windows: Renamed install script to hnn-windows.ps1 Support user names with spaces (issue #163) Install script will work for users without admin privileges (except MPI) Include a windows container Dockerfile that is used by Travis. It can be used to run simulations, but cannot launch GUI Support running HNN from WSL and run tests in Travis. Mac Install now tested on OS versions Catalina, Mojave, Sierra, High Sierra, and El Capitan