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Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

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Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4. Release notes Sourced from jinja2's releases. 3.1.4 This is the Jinja 3.1.4 security release, which fixes security issues and bugs but does not otherwise...

dependencies

Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.66.1 to 4.66.3. Release notes Sourced from tqdm's releases. tqdm v4.66.3 stable cli: eval safety (fixes CVE-2024-34062, GHSA-g7vv-2v7x-gj9p) tqdm v4.66.2 stable pandas: add DataFrame.progress_map (#1549) notebook: fix...

dependencies

To reproduce: ```python import syncopy as spy adata1 = spy.synthdata.white_noise() adata1.info = {'var1': 3} adata2 = adata1.selectdata(channel=1) adata2.info >> {} ```

Bug

**Describe the bug** Our internal Gitlab tests fail with latest dev version because of the new dependency `pynwb`, which is not available for powerlinux on condaforge. **To Reproduce** Check gitlab...

dependencies

Best is to end with a `spike_psth` result

Documentation

We encourage use of both Syncopy and MNE, and do not want to reinvent the wheel by building complex features that are already available in MNE. To make working with...

Design
Feature Request

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/).

Documentation
FT compat

To implement performance monitoring over time, we should Implement some airspeed velocity performance tests for Syncopy. See [airspeed velocity (asv) docs](https://asv.readthedocs.io/en/stable/using.html) for more info. Basically we would like to be...

Feature Request
Performance

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...

Feature Request
FT compat

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...

Feature Request