MC_RTT (DANDI 000129) holds sorted spiking activity and behaviour from one rhesus macaque making self-paced reaches between targets drawn at random from an 8 × 8 grid, with no gaps or pre-movement delays, recorded by an electrode array implanted in primary motor cortex, together with finger, cursor and target position. Recorded by Joseph O'Doherty and colleagues in the Sabes Lab at UCSF, prepared for the Neural Latents Benchmark (Pei et al., 2021) and released on DANDI under CC BY 4.0. Only its stored training and validation trials are used here; its test file is not opened.
Also known asMC_RTT · Neural Latents Benchmark MC_RTT · DANDI 000129 · macaque motor cortex spiking activity during self-paced reaching · O'Doherty et al. random target task
Held-out trials of the same session · x/y finger velocity
R², mean of x and y (higher is better)
0.240
1 macaque (animal data)
Training meanreference or comparator, not a decoding model
Held-out trials of the same session · x/y finger velocity
R², mean of x and y (higher is better)
−0.00175
1 macaque (animal data)
Ridge on spike-count history
Held-out trials of the same session · x/y finger velocity
R², x (higher is better)
0.202
1 macaque (animal data)
Training meanreference or comparator, not a decoding model
Held-out trials of the same session · x/y finger velocity
R², x (higher is better)
−0.000104
1 macaque (animal data)
Ridge on spike-count history
Held-out trials of the same session · x/y finger velocity
R², y (higher is better)
0.278
1 macaque (animal data)
Training meanreference or comparator, not a decoding model
Held-out trials of the same session · x/y finger velocity
R², y (higher is better)
−0.00340
1 macaque (animal data)
Ridge on spike-count history
Held-out trials of the same session · x/y finger velocity
RMSE in m/s (lower is better)
0.056
1 macaque (animal data)
Training meanreference or comparator, not a decoding model
Held-out trials of the same session · x/y finger velocity
RMSE in m/s (lower is better)
0.064
1 macaque (animal data)
Ridge on spike-count history
Held-out trials of the same session · x/y finger velocity
MAE in m/s (lower is better)
0.038The ridge is worse than the training mean on this metric.
1 macaque (animal data)
Training meanreference or comparator, not a decoding model
Held-out trials of the same session · x/y finger velocity
MAE in m/s (lower is better)
0.033
1 macaque (animal data)
One macaque in one session, with training and validation trials interleaved: with one animal every figure is that animal’s, and no interval is reported, because the validation rows are correlated samples, not independent subjects. Not an official Neural Latents Benchmark score and not co-smoothing; offline, with no real-time or closed-loop claim, and no cross-day, cross-animal or human claim.
Source and licence
MC_RTT (Neural Latents Benchmark)
CreditO'Doherty, Joseph (2024) MC_RTT: macaque motor cortex spiking activity during self-paced reaching (Version 0.241017.1444) [Data set]. DANDI archive. https://doi.org/10.48324/dandi.000129/0.241017.1444, CC BY 4.0. Recorded by Joseph E. O'Doherty, Mariana M. B. Cardoso, Joseph G. Makin and Philip N. Sabes in the Sabes Lab at UCSF (Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology, Zenodo, doi:10.5281/zenodo.3854034; procedure: Makin et al., Journal of Neural Engineering 15(2), 026010 (2018), doi:10.1088/1741-2552/aa9e95). Prepared for the Neural Latents Benchmark: Felix Pei, Joel Ye et al., Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity, NeurIPS 2021 Track on Datasets and Benchmarks, arXiv:2109.04463. Derived analysis by BCI Report; not endorsed by the authors.
BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data remain their creators’.
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