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@@ -88,8 +88,8 @@ The script produces a figure saved in three different graphics file formats.
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### Directory code/reachgraspio
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Contains the file `reachgraspio.py`, which contains the loading routine specific to the Reach-to-Grasp experiments in this repository. This loading routine merges the recorded data with metadata information from the odML files into a common Neo object. It is recommended that this loading routine is used in combination with the odML and Neo libraries (see below) to work on the data.
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-### Further subdirectories of code
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-The subdirectories `python-neo`, `python-odml`, and `elephant` contain snapshots of the Neo[1], odML[2], and Elephant[3] libraries, respectively, that are required by the example scripts and the reachgraspio loading routine. In short, Neo provides the data model, generic Blackrock loading routines, and APIs used to load the data; odML provides an API to handle the metadata files; and Elephant is a library for the analysis of neuronal data based on the Neo data model that is used by the example script for filtering raw signals to obtain offline filtered LFPs. By modifying the file `load_local_neo_odml_elephant.py` in the code directory it is possible to instruct the example scripts to use system-wide installed versions of these libraries instead of the static snapshots. Note however, that future versions of these libraries may requires adapted versions of the `reachgraspio.py` loading routine (see Updates below).
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+### Python dependencies
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+The provided code is based on the Python libraries Neo[1], odML[2], and Elephant[3], that are required by the example scripts and the reachgraspio loading routine. In short, Neo provides the data model, generic Blackrock loading routines, and APIs used to load the data; odML provides an API to handle the metadata files; and Elephant is a library for the analysis of neuronal data based on the Neo data model that is used by the example script for filtering raw signals to obtain offline filtered LFPs. To run the provided code install the Python dependencies listed in `code/requirements.txt`. Note however, that the versions specified in the `code/requirements.txt` are fixed to match the `reachgraspio.py` loading routine (see Updates below) and more recent versions might exist.
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* [1] https://github.com/NeuralEnsemble/python-neo
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* [2] https://github.com/G-Node/python-odml
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* [3] https://github.com/NeuralEnsemble/elephant
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@@ -110,5 +110,5 @@ This includes, in particular, the loading routine reachgraspio.py, which may nee
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## Licensing
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<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" property="dct:title">Massively parallel multi-electrode recordings of macaque motor cortex during an instructed delayed reach-to-grasp task</span> in the directories `datasets` and `datasets_matlab` by <span xmlns:cc="http://creativecommons.org/ns#" property="cc:attributionName">Institut de Neurosciences de la Timone (INT), UMR 7289, CNRS – Aix Marseille Université, Marseille, France and Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich, Jülich, Germany</span> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.
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-All code in the directories `code`, `code/python-odml`, `code/python-neo`, `code/elephant`, and `code/reachgraspio` are each published under the BSD 3 clause licenses. See the `LICENSE.txt` or `LICENSE` files in the corresponding directories for the full license.
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+All code in the directories `code` and `code/reachgraspio` are each published under the BSD 3 clause licenses. See the `LICENSE.txt` or `LICENSE` files in the corresponding directories for the full license.
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