neurolib

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Testing: test_models with dynamic loading

1

Right now, we have a list of all models to test and have a function for each of them. This is kind of ugly. Therefore, I think we should have...

caglorithm

Try to make MultiModel faster

1

I got a couple of requests about the speed of MultiModel. It seems that for a larger network it is painfully slow. I suspect a couple of things: - `jitcdde`...

jajcayn

Pipeline for mean-field approximation of spiking networks

4

I recently worked out the mean-field approximation of the spiking model of the hippocampus, more-or-less successfully. This process can be automated to a large extent. The idea is to allow...

jajcayn

```python from neurolib.utils.parameterSpace import ParameterSpace shape = 4 pars = [np.random.rand(shape, shape) for i in range(10)] parameters = ParameterSpace({"p": pars}) parameters.getRandom() ``` Returns ``` --------------------------------------------------------------------------- ValueError Traceback (most recent call...

caglorithm

```python from neurolib.utils.parameterSpace import ParameterSpace shape = 2 n_pars = 2 pars = [np.random.rand(shape, shape) for i in range(n_pars)] parameters = ParameterSpace({"p": pars}) ``` Returns ``` --------------------------------------------------------------------------- ValueError Traceback (most...

caglorithm

Need to do a proper optimization of parameters so the fit value is good. Right now it's... suboptimal. File: example-3-meg-functional-connectivity.ipynb 

caglorithm

wc.run(continue_run=True) breaks

4

by calling ``` for i, val in enumerate(inputs): if i==0: wc.run() else: wc.run(continue_run=True) ``` the following error is returned as i=2: ``` Traceback (most recent call last): File "/mnt/antares_raid/home/ronjastroms/anaconda3/envs/trial/lib/python3.7/multiprocessing/process.py", line...

ronja-roevardotter

TODO: `Exploration.useRandomICs` not implemented yet

caglorithm

autochunk: option to save all simulated data to disk

2

WIP, maybe netcdf?

caglorithm

...

caglorithm