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NeuroTask - Random Target: A Benchmark Dataset for Multi-Task, -Session and -Subject Neural Analysis

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ID: 001055DRAFT
Contact Filipe, A. Carolina
File Count 5
Size 1.2 GiB
Created June 14, 2024
Last update July 12, 2024
Licenses: spdx:CC-BY-4.0
Access Information: dandi:OpenAccess

NeuroTask is a benchmark dataset designed to facilitate the development of accurate and efficient methods for analyzing multi-session, multi-task, and multi-subject neural data. NeuroTask integrates 6 datasets from motor cortical regions, covering 7 tasks across 17 subjects.

Check out the github repository for more resources and some example...

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Keywords:
Random Target
Macaque
Motor cortex
Reaching
Benchmark
Contributors
Filipe, A. Carolina
Park, Il Memming
Funding information
No funding information available.
Related resources
Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology [Data set]
ID: https://doi.org/10.5281/zenodo.583331
Resource Type: dcite:Dataset
Repo: Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology
Relation: dcite:IsDerivedFrom
Superior arm-movement decoding from cortex with a new, unsupervised-learning algorithm.
ID: doi:10.1088/1741-2552/aa9e95
Resource Type: dcite:JournalArticle
Repo: J Neural Eng 15(2)
Relation: dcite:IsPublishedIn
Assets Summary
Species
Macaca mulatta - Rhesus monkey
Data Standard
Neurodata Without Borders (NWB)
RRID:SCR_015242
Number Of Subjects
4
Variable Measured
ProcessingModule
Measurement Technique
analytical technique
Dandiset Actions
Files
Owners
Carolina Filipe
Versions
DRAFT
Jul 12, 2024
There are no published versions. When a version gets published, it will appear here.