tensionhead
tensionhead
Hello everyone, I hope I am using the right terms here, but what I want is to ship a little piece of 'data', an ```icon.png``` (14kB), with my package [pyBOAT](https://github.com/tensionhead/pyBOAT)....
When assembling the synthetic power spectra in `gen.py` [here](https://github.com/fooof-tools/fooof/blob/b376e009eb5b2ad2809660e7568203dc109db50a/fooof/sim/gen.py#L404): ```python powers = np.power(10, ap_vals + pe_vals + noise) ``` obviously it is assumed, that all components are on log10 scale....
Make a dedicated `/doc` folder and re-structure the Markdown into separate files. Think about some `.io` web page.
Currently the Kuramoto order parameter is termed "Phase coherence". This is mostly misleading, use maybe better "phase locking" to distinguish from the "coherence" (normalized CSDs) measure.
To reproduce: ```python import syncopy as spy adata1 = spy.synthdata.white_noise() adata1.info = {'var1': 3} adata2 = adata1.selectdata(channel=1) adata2.info >> {} ```
Even though we still miss quite some functionality (topoplots, interactive artifact rejection), it might be possible to create a little walkthrough starting from a FT dataset mentioned [here](https://www.fieldtriptoolbox.org/faq/what_types_of_datasets_and_their_respective_analyses_are_used_on_fieldtrip/).
Field Trip's `ft_preprocessing` has a `montage` cfg parameter, which internally calls [ft_apply_montage](https://github.com/fieldtrip/fieldtrip/blob/master/forward/ft_apply_montage.m). This function applies a linear operator (the matrix given in `montage.tra`) onto the channel axis, creating linear combinations...
For multiple comparison testing, we want to implement the randomization and permutation testing strategies outlined in [Nichols and Holmes](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6871862/). In a typical application scenario we have two different conditions (attentive...
A section where we describe how to update/set the trialdefinitions for `AnalogData` and `SpikeData`