Human Neocortical Neurosolver
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Human Neocortical Neurosolver (HNN) is a software tool for simulating and interpreting electrical signals generated by the brain's neocortex, specifically MEG/EEG signals. It provides a computational modeling framework to help researchers study neural circuits and brain activity patterns.
First commit
Software value
$662K
Tags
alpha
beta
biophysical
brain
computational-neuroscience
data-analysis
eeg
electrophysiology
erp
gamma
human
interneuron
meg
neocortex
neuronal-network
pyqt5
pyramidal-neuron
python
simulation-modeling
License(s)
Other
Data sources
Git
GitHub