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License: MIT License
Project management for Andrew's 2021 Neuropixel Utilities enhancement project
License: MIT License
Apply the new MATLAB capabilities for function argument validation using argument
blocks and declarative property constraints across at least two functions where inputParser
is currently used (e.g. in runKilosort2
).
Implement class organization updates in at least two classes towards the goal of a smaller and more inspectable public API for class consumers/library users. This is expected to include changes such as:
Reproduce the full workflow described in the wiki example (https://djoshea.github.io/neuropixel-utils/#example-walkthrough) which spans 1) IMEC file load, 2) IMEC file investigation, 3) Kilosort2 run, and 4) Kilosort derived data load and visualization.
This will need to be done in a way that can be run in a modest home lab, and should include all the lab setup code.
Implement code organization updates towards the goal of fewer files per folder (package folders or otherwise). For instance:
On a separate fork, implement (that is, switch to using and being a client of) kwikteam/npy-matlab: via subtree to develop a proof-of-concept for discussion with the npy-matlab owners. npy-matlab is experimental code to read/write NumPy .NPY files in Matlab.
Submission of all Contributions to the Project hosted at the Public Hosting Site (GitHub, with upstreaming to https://github.com/djoshea/neuropixel-utils) under the License Terms (MIT License).
Create a Matlab Live Script version of the workflow from #1.
Streamline some of the readXXX functions, e.g. to use string
array processing.
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