(Apologies for the cross posts)
I am happy to announce that the latest release of the Comp-Neuro Fedora
Linux based operating system for computational neuroscience research is
now available for download from:
For those that prefer torrents to direct server downloads, it can also
be downloaded here:
Detailed documentation can be accessed at:
Based on the Fedora Workstation OS, the Comp-Neuro installer image
includes a plethora of computational neuroscience software. This
- commonly used simulators: NEST, NEURON, Brian2, Arbor, Auryn, CalC,
COPASI, GENESIS, MOOSE;
- the complete Python 3.9 science stack: Matplotlib, Jupyter notebooks,
Numpy, Pandas, Pillow, Scikit-image, Scikit-learn, Scipy, Statsmodels,
Sympy, *and* other utilities such as GNU Octave.
Comp-Neuro Fedora also uses the popular and modern GNOME desktop
environment, and so includes all the productivity tools that are part
of the latest GNOME 3.38 release.
Further, more software that is not included in the installation media
can also be installed from the Fedora software repositories and from
FlatHub. The ISO installer image is a "live" image, which means one
can also run the operating system directly off the image without
installing it to disk
Fedora, and so Comp-Neuro Fedora is completely Free and Open Source
Software, which is free for everyone to use, share, study, and modify.
It is developed by the volunteer community driven NeuroFedora Special
Interest Group (SIG).
Any feedback and comments are most welcome. If you develop software
for neuroscience research, please consider getting in touch with the
NeuroFedora community to help us include it in NeuroFedora.
Everyone is welcome to join the community and work on whatever tasks
they find interesting. No prior knowledge or skills are expected.
On behalf of the NeuroFedora community,
Ankur Sinha (He / Him / His) | https://ankursinha.in
Research Fellow at the Silver Lab, University College London | http://silverlab.org/
Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org
Time zone: Europe/London
---------- Forwarded message ---------
From: Tal Yarkoni <tyarkoni(a)utexas.edu>
Date: Fri, Oct 2, 2020 at 16:21
Subject: [FSL] Opportunities for experienced modellers to join a
collaborative NSF-funded open source software development project
An NSF-funded multi-investigator collaboration is seeking individuals to
help develop a standardized format for exchanging computational models
among neuroscience, cognitive science and machine learning. The project was
recently funded by NSF’s Convergence Accelerator Program, and involves
Princeton Neuroscience Institute; The University of Texas at Austin;
University College London; Yale Computer Science Department; and Intel Labs
in collaboration with members of the broader community.
We seek individuals who have considerable experience in computational
modeling in cognitive science, neuroscience, and/or machine learning.
Preference is for individuals with a PhD in a relevant discipline
(Neuroscience, Cognitive Psychology and/or Computer Science), but others
with sufficient demonstrated experience will be considered. Experience in
Python is necessary, and experience in one or more existing modeling
environments (e.g., NEURON, The Virtual Brain, NeuroML, Emergent, Nengo,
ACT-R, PyTorch and/or TensorFlow) is preferred. Involvement can be remote.
Interested individuals should contact Jonathan Cohen (jdc(a)princeton.edu),
Padraig Gleeson (p.gleeson(a)ucl.ac.uk), or Tal Yarkoni (tyarkoni(a)utexas.edu).
Tal Yarkoni, Ph.D.
Research Associate Professor
Department of Psychology
University of Texas at Austin
To unsubscribe from the FSL list, click the following link: