hnn
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jonescompneurolab
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.
We have been internally discussing this WIP for a few months; time to put it up on github. The [hnn-core](https://github.com/jonescompneurolab/hnn-core) project is a more flexible way to run NEURON (Python)...
Spectral data is not computed near zero for edge-effects, but it's not also chopped for edge effects at the end of the simulation. If the scale is manually adjusted to...
Should use the wait icon after selecting a parameter file in case the simulation was run and there is a lot of data to load (which could incur a noticeable...
Depends on #232 Both of these classes can be removed if the hnn-core `Spike` class is relied upon.
Hi, This is more of a conceptual issue rather than a technical one, I hope this is the place to ask. If not, I'd be happy to be advised where...
During the process of determining if [hnn-core outputs the same results over multiple trials as hnn](https://github.com/jonescompneurolab/hnn-core/issues/113) (i.e., as governed by assigning random states), we determined that hnn no longer recreates...
Add parameter value checking from GUI, before the param files are written, to ensure that all parameters are within valid ranges. Otherwise, there can be problems when the simulation is...
In the spike viewer, the same shades of red and green are used in the input histograms and to show the spiking of the pyramidal cells. This leads to confusion...
In developing and testing hypotheses on the circuit origin of the data, it would be very useful for the user to have an easy way to see which parameters are...
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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.