Overview: This page highlights a couple of academic research projects on the topic of "Neuroinformatics & ML Tools for Visualizing and Interpreting Computationally-relevant Latent Structures in Large-scale Neural Recording Datasets"
2023 Project: SIMNETS Neural Analysis Methods for Mapping Neuron Relationships from Large-scale Neural Recording Data
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SIMNETS (Similarity Networks) Neural Analysis Toolbox from our paper (Cell Press iScience: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4554596; bioRxiv: doi.org/10.1101/463364)
- Python tutorial, see: SIMNETS py tutorial/SIMNETS_Py_demo_simData.ipynb
- MATLAB tutorial, see: https://github.com/DonoghueLab/SIMNETS-Analysis-Toolbox
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Neural Encoding-Decoding Algorithms for Large-scale Neural Recording Data
- For SSIMS Matlab ToolBox, see:https://github.com/DonoghueLab/SSIMS-Analysis-Toolbox