hnn-core 0.2 released!

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Mainak Jas

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Sep 30, 2021, 10:56:10 AM9/30/21
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Dear all,


We are pleased to announce the release of HNN-core 0.2. HNN-core is a package that is part of the Human Neocortical Neurosolver (HNN) software suite and offers a Pythonic interface for simulating macroscale human MEG and EEG signals from a biophysically-detailed neocortical model. HNN-core is designed to simulate primary electrical current time courses (i.e., current dipoles) that can be compared with source-localized MEG and EEG data. 


Examples of use are provided for simulating commonly measured MEG/EEG signals, including event related potentials and low-frequency brain rhythms.These examples closely follow the more detailed tutorials provided for HNN-GUI.


This release includes several exciting new features including the ability to record local field potentials, optimization routines for experimental data and easy modification of connectivity/cell properties.


On Linux and Mac, it is possible to install HNN-core using a single line:


$ pip install --upgrade hnn_core


Follow us on twitter here: https://twitter.com/HNNsolver 


We welcome your bug reports, feature requests, critiques and contributions on our Github page.


Best,

HNN-core development team


People who contributed to this release (in alphabetical order)


  • Alex Rockhill

  • Blake Caldwell

  • Christopher Bailey

  • Dylan Daniels

  • Kenneth Loi

  • Mainak Jas

  • Nick Tolley

  • Ryan Thorpe

  • Sarah Pugliese

  • Stephanie R. Jones

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