Science Score: 57.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 6 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (9.7%) to scientific vocabulary
Repository
Analysis code for Treasure Hunt.
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 3
- Releases: 1
Metadata Files
README.md
Treasure Hunt Analyses
Analysis repository for Treasure Hunt.
Overview
This repository analyses data from the Treasure Hunt (TH) task, a spatial-navigation memory task, with data from implanted microwires.
Project Guide
You can step through all the analyses and results in this project by stepping through the notebooks folders.
Note that some parts of the project, including running analyses across the whole dataset,
are done by stand alone scripts, which are available in the scripts folder.
Reference
The project is described in the following paper:
Donoghue, T., Cao, R., Han, C. Z., Holman, C. M., Brandmeir, N. J., Wang, S., & Jacobs, J. (2023). Single
neurons in the human medial temporal lobe flexibly shift representations across spatial and memory tasks.
Hippocampus, 33(5), 600–615. DOI: 10.1002/hipo.23539
Direct Link: https://doi.org/10.1002/hipo.23539
Requirements
This repository requires Python >= 3.7.
As well as typical scientific Python packages, dependencies include: - pynwb - convnwb - spiketools
The full list of dependencies is listed in requirements.txt.
Repository Layout
This repository is set up in the following way:
- code/ contains custom code and utilities for doing the analyses
- notebooks_overlap/ contains notebooks that step through analyses combining both tasks
- notebooks_th/ contains notebooks that step through analyses of the TH task
- scripts/ contains stand alone scripts
Data
The datasets analyzed in this project are from human subjects with implanted microwires.
Data notes: - Datasets for this project are organized into the NWB format. - Basic preprocessing and data conversion is done in the ConvertTH repository. - Spike sorting, to isolate putative single-neurons, has been performed on this data.
Owner
- Name: Human Single Neuron Pipeline
- Login: HSNPipeline
- Kind: organization
- Email: tdonoghue.research@gmail.com
- Website: https://hsnpipeline.github.io/
- Repositories: 4
- Profile: https://github.com/HSNPipeline
Pipeline for single neuron projects & analyses with human subjects.
Citation (CITATION.cff)
cff-version: 1.2.0
message: >-
If you use this software, please cite it using the metadata from this file.
type: software
title: 'AnalyzeTH'
authors:
- given-names: 'Thomas'
family-names: 'Donoghue'
orcid: 'https://orcid.org/0000-0001-5911-0472'
- given-names: 'Claire Z'
family-names: 'Han'
- given-names: 'Runnan'
family-names: 'Cao'
- given-names: 'Joshua'
family-names: 'Jacobs'
repository-code: 'https://github.com/HSNPipeline/AnalyzeTH'
license: MIT
preferred-citation:
type: article
authors:
- given-names: 'Thomas'
family-names: 'Donoghue'
orcid: 'https://orcid.org/0000-0001-5911-0472'
- given-names: 'Runnan'
family-names: 'Cao'
- given-names: 'Claire Z'
family-names: 'Han'
- given-names: 'Cameron M'
family-names: 'Holman'
- given-names: 'Nicholas J'
family-names: 'Brandmeir'
- given-names: 'Shuo'
family-names: 'Wang'
- given-names: 'Joshua'
family-names: 'Jacobs'
doi: '10.1002/hipo.23539'
journal: 'Hippocampus'
title: 'Single neurons in the human medial temporal lobe flexibly shift representations across spatial and memory tasks'
issue: 5
year: 2023
volume: 33
start: 600
end: 615