Workflow for visual stimuli, including gratings, launched via Psychtoolbox.
A complete workflow can be built using the DataJoint Elements.
This repository provides demonstrations for:
- Set up a workflow using DataJoint Elements (see workflow_visual_stimulus/pipeline.py)
- Displaying gratings.
See the Element Visual Stimulus description for the background information and development timeline. For more information on the DataJoint Elements project, please visit https://elements.datajoint.org. This work is supported by the National Institutes of Health.
The installation instructions can be found at the DataJoint Elements documentation.
Please refer to the workflow-specific Jupyter notebooks for an in-depth explanation of how to run the workflow.
If your work uses DataJoint and DataJoint Elements, please cite the respective Research Resource Identifiers (RRIDs) and manuscripts.
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DataJoint for Python or MATLAB
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Yatsenko D, Reimer J, Ecker AS, Walker EY, Sinz F, Berens P, Hoenselaar A, Cotton RJ, Siapas AS, Tolias AS. DataJoint: managing big scientific data using MATLAB or Python. bioRxiv. 2015 Jan 1:031658. doi: https://doi.org/10.1101/031658
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DataJoint (RRID:SCR_014543) - DataJoint for
<Select Python or MATLAB>
(version<Enter version number>
)
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DataJoint Elements
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Yatsenko D, Nguyen T, Shen S, Gunalan K, Turner CA, Guzman R, Sasaki M, Sitonic D, Reimer J, Walker EY, Tolias AS. DataJoint Elements: Data Workflows for Neurophysiology. bioRxiv. 2021 Jan 1. doi: https://doi.org/10.1101/2021.03.30.437358
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DataJoint Elements (RRID:SCR_021894) - Element Array Electrophysiology (version
<Enter version number>
)
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