BRAND: A platform for closed-loop experiments with deep network models

This is the supporting data for "BRAND: A platform for closed-loop experiments with deep network models". It can be analyzed using the code at github.com/brandbci/paper-figures.

This dataset contains:

Latency measurements from computers running the BRAND software under several different conditions

Example data from a real-time neural data simulator made using BRAND

Cursor kinematics from a participant using BRAND to perform cursor control with an intracortical brain-computer interface in the BrainGate2 clinical trial (ClinicalTrials.gov Identifier: NCT00912041)*

Funding: This work was supported by the Emory Neuromodulation and Technology Innovation Center (ENTICe), NIH Eunice Kennedy Shriver NICHD K12HD073945, NIH-NINDS/OD DP2NS127291 (CP), NIH-NIDCD/OD DP2DC021055, Simons Collaborations for the Global Brain Pilot Award 872146SPI (SDS), NIH-NIBIB T32EB025816 (YHA), NIH-NICHD F32HD112173 (SRN), NIH-NIDCD U01DC017844, and Department of Veterans Affairs Rehabilitation Research and Development Service A2295R and N2864C (LRH). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health, or the Department of Veterans Affairs, or the United States Government.

*CAUTION: Investigational device. Limited by federal law to investigational use.