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jonescompneurolab/hnn: HNN Release 1.3.0

Sam Neymotin; Blake Caldwell; ramcdougal; Lucas Kasser; Ryan Thorpe; stephanie-r-jones; Salvador Dura-Bernal; Nikolas Evers

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
Files (7.4 MB)
Name Size
jonescompneurolab/hnn-v1.3.0.zip
md5:71c8727138fad59152997b9d003dbc99
7.4 MB Download
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