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.
-
Updated
Jun 4, 2024 - Python
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.
T2N is an extension of the TREES toolbox providing an interface between Matlab and the compartmental modeling environment NEURON. It was published in (and should be cited this way): Beining M, Mongiat, LA, Schwarzacher SW, Cuntz H, Jedlicka P: T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born denta…
Python implementation of the NICE & SONIC models for multiple neuron types, along with command-line scripts for rapid simulations.
pydentate is a biophysically realistic computational model of the dentate gyrus, a hippocampal brain region associated with memory formation and a computation called pattern separation.
This detailed and robust compartmental model accompanies the manuscript Beining et al (2017): T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife
Simulations for characterizing stochastic threshold in biophysical neurons.
codes for JSTARS paper: Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions
Add a description, image, and links to the biophysical topic page so that developers can more easily learn about it.
To associate your repository with the biophysical topic, visit your repo's landing page and select "manage topics."