jonescompneurolab / hnn

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

Date Created 2018-04-04 (6 years ago)

Commits 1,679 (last one 7 months ago)

Stargazers 77 (0 this week)

Watchers 15 (0 this week)

Forks 22

License other

Ranking

RepositoryStats indexes 534,551 repositories, of these jonescompneurolab/hnn is ranked #324,155 (39th percentile) for total stargazers, and #142,015 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #59,212/103,470.

jonescompneurolab/hnn is also tagged with popular topics, for these it's ranked: python (#13,874/20447), data-analysis (#431/612), erp (#127/173), pyqt5 (#123/170), eeg (#68/111)

Other Information

jonescompneurolab/hnn has 7 open pull requests on Github, 189 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 40 open issues and 89 closed issues.

There have been 20 releases, the latest one was published on 2021-03-20 (3 years ago) with the name HNN Release 1.3.2.

Homepage URL: http://hnn.brown.edu

All Topics

eeg erp meg beta alpha brain gamma human pyqt5 python neocortex biophysical interneuron data-analysis neuronal-network pyramidal-neuron electrophysiology simulation-modeling computational-neuroscience

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10 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2024-06-19 @ 11:50am, id: 128077928 / R_kgDOB6JQaA