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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.

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HNN-netpyne has already been validated to replicate the HNN-GUI tutorials. However, there is minimal documentation on how to do that.

documentation
HNN-netypyne

Tune/validate with mouse M1 EEG/MEG experimental data

HNN-netypyne

Tune/validate using macaque A1 EEG/MEG experimental data

HNN-netypyne

- More efficient connectivity – currently all-to-all and most weights=0 - Fix cell locations and distance-dependent connectivity (1um spacing) - Make dipole code more generic – currently hardcoded for L2pyr...

HNN-netypyne

I recently installed hnn_core and it broke my docker installation of HNN GUI I am attempting the pip installation for mac I ran the prechecks and it appears Xquartz, NEURON,...

installation

From Chris Bailey @cjayb: "Hi Salva Re. mpi: I just meant that your GH page doesn’t mention it as a dependency Re. extgauss note that it’s sort of a relic,...

HNN-netypyne

Please merge this once a release has been created for the HNN-integration. Users will be directed to download the new version.

documentation

To avoid hnn-core breaking HNN, we should set up cron jobs [like here](https://docs-staging.travis-ci.com/user/cron-jobs/) so tests are run periodically and any PR that breaks HNN will be caught early.

testing