Multichannel sensorimotor cortex electrophysiology recordings from two monkeys performing reaching tasks. The dataset includes spike times sorted into units, fingertip and target positions sampled at 250 Hz, and spans 47 sessions over approximately 11 months. It was created by Joseph E. O’Doherty.
Use Cases
- Training brain-computer interface decoders based on continuous, non-trial-segmented electrophysiology and kinematic data.
- Analyzing arm kinematics statistics based on fingertip and target position trajectories.
- Studying spike noise-correlations or signal-correlations in sensorimotor cortex.
- Exploring the stability of extracellular recordings over sessions based on data spanning multiple months.
- Comparing different BCI decoder models on a common dataset of neural activity and reaching behavior.
Strengths
- Contains data from 47 sessions across two primate subjects.
- Includes approximately 26,500 total reaches (20,000 from monkey 1, 6,500 from monkey 2).
- Provides simultaneous recordings from up to 192 channels in sensorimotor cortex.
- Data is continuous and not segmented into trials, which is described as ideal for BCI decoder training.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Joseph E. O’Doherty, Universidad Católica de Santa Fe
- Collection Method
- Recorded from two monkeys performing self-paced reaching tasks.
- Time Range
- Spanning about 10 months for monkey 1 and about 1 month for monkey 2.