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Sampling representational plasticity of simple imagined movements across days enables long-term neuroprosthetic control

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DOI: 10.48324/dandi.001535/0.260608.0617
ID: 0015350.260608.0617
Contact Natraj, Nikhilesh
File Count 1
Size 4.8 GB
Created June 8, 2026
Last update June 8, 2026
Licenses: spdx:CC-BY-4.0
Access Information: dandi:OpenAccess

Long-term electrocorticographic (ECoG) training data during contextual brain computer interface (BCI) control in a tetraplegic human participant. The data uploaded represent long-term recordings from a 128 channel ECoG grid over contralateral sensorimotor cortex when trying to access directions in 3D space (6 axial directions plus 1 for the origin for a total of 7 directional targets). Data from...

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Keywords:
ECoG, Human, BCI
Contributors
Natraj, Nikhilesh
Ganguly, Karunesh ORCID logo
Funding information
NIH
- Award Number: R01HD111562
Anatomy
Related resources
Sampling representational plasticity of simple imagined movements across days enables long-term neuroprosthetic control
ID: 10.1016/j.cell.2025.02.001
Resource Type: dcite:DataPaper
Repo: Cell
Relation: dcite:IsSupplementTo
Assets Summary
Species
Homo sapiens - Human
Data Standard
Neurodata Without Borders (NWB)
RRID:SCR_015242
Number Of Subjects
1
Dandiset Actions
Files
Owners
NIKHILESH NATRAJ
karuneshganguly
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