Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.706, placing it in the top 28.3% of the data-sharing corpus. It has been cited 24 times, with 21 citing works in its 1-hop citation network.
Ranks in the top 28% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.483
From this paper's citation signal
Citation Network Contribution
0.223
From 11 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 21 citers.
National Institutes of Health
Grant: 5UH3NS107714-03
A Biomimetic Approach Towards a Dexterous Neuroprosthesis
National Institutes of Health
Grant: 3R01NS121079-04S1
Quantifying neural variability and learning during real world brain-computer interface use
Fields of Study
Keywords
Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology
Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology