HNN-core: A Python software for cellular and circuit-level interpretation of human MEG/EEG-Reference-Cited by-同舟云学术

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HNN-core: A Python software for cellular and circuit-level interpretation of human MEG/EEG

Published:2023-12-15 Issue:92 Volume:8 Page:5848
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Jas Mainak^ORCID,Thorpe Ryan^ORCID,Tolley Nicholas^ORCID,Bailey Christopher^ORCID,Brandt Steven,Caldwell Blake^ORCID,Cheng Huzi,Daniels Dylan^ORCID,Pujol Carolina Fernandez^ORCID,Khalil Mostafa,Kanekar Samika^ORCID,Kohl Carmen^ORCID,Kolozsvári Orsolya^ORCID,Lankinen Kaisu^ORCID,Loi Kenneth,Neymotin Sam^ORCID,Partani Rajat^ORCID,Pelah Mattan,Rockhill Alex^ORCID,Sherif Mohamed^ORCID,Hamalainen Matti^ORCID,Jones Stephanie^ORCID

Publisher

The Open Journal

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://joss.theoj.org/papers/10.21105/joss.05848.pdf

Reference22 articles.

1. Human neocortical neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data;Neymotin;Elife,2020

2. Quantitative analysis and biophysically realistic neural modeling of the MEG mu rhythm: Rhythmogenesis and modulation of sensory-evoked responses;Jones;Journal of neurophysiology,2009

3. Neural mechanisms underlying human auditory evoked responses revealed by human neocortical neurosolver;Kohl;Brain topography,2022

4. Thalamocortical mechanisms regulating the relationship between transient beta events and human tactile perception;Law;Cerebral Cortex,2022

5. Array programming with NumPy;Harris;Nature,2020

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