# MC_RTT (Neural Latents Benchmark): intracortical spiking results

One macaque’s motor-cortex spiking during self-paced reaching: finger velocity

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 as** MC_RTT · Neural Latents Benchmark MC_RTT · DANDI 000129 · macaque motor cortex spiking activity during self-paced reaching · O'Doherty et al. random target task

Description sources [doi.org](https://doi.org/10.48324/dandi.000129/0.241017.1444) · [arxiv.org](https://arxiv.org/abs/2109.04463) · [doi.org](https://doi.org/10.5281/zenodo.3854034)

## Where it appears

- [Do simple baselines work on signals other than scalp EEG?](https://bci.report/topics/beyond-scalp-eeg/#mc-rtt)

## Published results

Every figure below is copied from a reviewed download, not recomputed for this page.

### Beyond scalp EEG · one macaque’s motor-cortex spiking, finger velocity within one session

Read with its protocol: [Beyond scalp EEG](https://bci.report/topics/beyond-scalp-eeg/#mc-rtt) · [beyond-scalp-update.json](https://bci.report/data/beyond-scalp-update.json)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| Ridge on spike-count history | 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 mean — reference 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 mean — reference 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 mean — reference 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 mean — reference 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) | 0.038 — The ridge is worse than the training mean on this metric. | 1 macaque (animal data) |
| Training mean — reference 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)

**Credit** O'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.

[CC BY 4.0 ↗](https://creativecommons.org/licenses/by/4.0/) · [Dataset record ↗](https://doi.org/10.48324/dandi.000129/0.241017.1444)

BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data remain their creators’.

[All datasets →](https://bci.report/datasets/) · [All methods →](https://bci.report/methods/)

## Cite this page

BCI Report (2026). *MC_RTT (Neural Latents Benchmark): intracortical spiking results*. https://bci.report/datasets/nlb-mc-rtt/

Figures from release [`beyond-scalp-update-20261012`](https://bci.report/releases/#beyond-scalp-update-20261012) (2026-10-12). Cite the upstream dataset as well: its credit is on this page.

Every release is archived on Zenodo: [doi:10.5281/zenodo.23123296](https://doi.org/10.5281/zenodo.23123296). [BibTeX for the site and its releases →](https://bci.report/api/#cite-heading) · [CITATION.cff ↗](https://raw.githubusercontent.com/twu3202/bci-report/main/CITATION.cff)

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Markdown copy of https://bci.report/datasets/nlb-mc-rtt/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/