Textbook for NESC 3505, Neural Data Science, at Dalhousie University
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Updated
Jun 13, 2026 - Jupyter Notebook
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
Tools for analyzing spiking data from single-neuron recodings.
A brief tutorial for working with single unit spiking data.
Analysis Code and Data of "Concept neurons in the human medial temporal lobe flexibly represent abstract relations between concepts" (Bausch et al., 2021). Also see https://www.nature.com/articles/s41467-021-26327-3
Code for working with human single-neurons (HSN): a module as part of the HSNPipeline.
Add a description, image, and links to the single-unit topic page so that developers can more easily learn about it.
To associate your repository with the single-unit topic, visit your repo's landing page and select "manage topics."