# LTRSVP · EEG Signals from an RSVP Task: EEG decoding results

P300 target images in rapid serial visual presentation at three rates

EEG Signals from an RSVP Task (PhysioNet ltrsvp, version 1.0.0, May 2017) holds EEG from 11 healthy participants who watched aerial images of London in rapid serial visual presentation at 5, 6 and 10 images per second; target images had an airplane superimposed. Eight posterior channels (PO8, PO7, PO3, PO4, P7, P8, O1, O2) at 2048 Hz, filtered 0.15–28 Hz, two recordings per rate separated by a long break. Contributed from the University of Essex and described by Matran-Fernandez and Poli in PLoS ONE (2017).

**Also known as** LTRSVP · EEG Signals from an RSVP Task · PhysioNet ltrsvp · Matran-Fernandez & Poli (2017)

Description sources [physionet.org](https://physionet.org/content/ltrsvp/1.0.0/) · [doi.org](https://doi.org/10.1371/journal.pone.0178498)

## Where it appears

- [Does a P300 decoder calibrated on a screen still work in VR?](https://bci.report/topics/screen-to-vr/)

## Published results

Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.

### Image rate · trained on one recording at one rate, tested on a different recording

Read with its protocol: [Screen to VR](https://bci.report/topics/screen-to-vr/) · Chance level 50.0% · [extension-update.json](https://bci.report/data/extension-update.json)

**Balanced accuracy, 9 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- Logistic regression on 100-ms means · Trained at 5 Hz (run a), tested at 5 Hz (run b): 73.6% (65.8%–80.8%)
- Logistic regression on 100-ms means · Trained at 5 Hz (run a), tested at 6 Hz (run b): 70.7% (64.5%–76.7%)
- Logistic regression on 100-ms means · Trained at 5 Hz (run a), tested at 10 Hz (run b): 60.8% (56.5%–65.8%)
- Logistic regression on 100-ms means · Trained at 6 Hz (run a), tested at 5 Hz (run b): 74.9% (68.5%–80.9%)
- Logistic regression on 100-ms means · Trained at 6 Hz (run a), tested at 6 Hz (run b): 71.4% (64.3%–78.1%)
- Logistic regression on 100-ms means · Trained at 6 Hz (run a), tested at 10 Hz (run b): 60.6% (57.4%–64.3%)
- Logistic regression on 100-ms means · Trained at 10 Hz (run a), tested at 5 Hz (run b): 67.5% (59.9%–75.2%)
- Logistic regression on 100-ms means · Trained at 10 Hz (run a), tested at 6 Hz (run b): 69.8% (61.9%–77.2%)
- Logistic regression on 100-ms means · Trained at 10 Hz (run a), tested at 10 Hz (run b): 63.0% (57.7%–68.0%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| Logistic regression on 100-ms means | Trained at 5 Hz (run a), tested at 5 Hz (run b) | Balanced accuracy | 73.6% (65.8%–80.8%) | 9 |
| Logistic regression on 100-ms means | Trained at 5 Hz (run a), tested at 6 Hz (run b) | Balanced accuracy | 70.7% (64.5%–76.7%) | 9 |
| Logistic regression on 100-ms means | Trained at 5 Hz (run a), tested at 10 Hz (run b) | Balanced accuracy | 60.8% (56.5%–65.8%) | 9 |
| Logistic regression on 100-ms means | Trained at 6 Hz (run a), tested at 5 Hz (run b) | Balanced accuracy | 74.9% (68.5%–80.9%) | 9 |
| Logistic regression on 100-ms means | Trained at 6 Hz (run a), tested at 6 Hz (run b) | Balanced accuracy | 71.4% (64.3%–78.1%) | 9 |
| Logistic regression on 100-ms means | Trained at 6 Hz (run a), tested at 10 Hz (run b) | Balanced accuracy | 60.6% (57.4%–64.3%) | 9 |
| Logistic regression on 100-ms means | Trained at 10 Hz (run a), tested at 5 Hz (run b) | Balanced accuracy | 67.5% (59.9%–75.2%) | 9 |
| Logistic regression on 100-ms means | Trained at 10 Hz (run a), tested at 6 Hz (run b) | Balanced accuracy | 69.8% (61.9%–77.2%) | 9 |
| Logistic regression on 100-ms means | Trained at 10 Hz (run a), tested at 10 Hz (run b) | Balanced accuracy | 63.0% (57.7%–68.0%) | 9 |
| Logistic regression on 100-ms means | Trained at 5 Hz minus trained at 10 Hz, same 10-Hz test images | Paired difference | −2.2 pp (−6.8 pp–+2.8 pp) — 7 people lower, 2 higher. The interval crosses zero: no change is established. Rate and recording change together: not a causal effect of image rate. | 9 |

## Source and licence

### LTRSVP · EEG Signals from an RSVP Task

**Credit** Ana Matran (University of Essex) · EEG Signals from an RSVP Task 1.0.0, PhysioNet (2017), doi:10.13026/C2KX0P. Original publication: Ana Matran-Fernandez and Riccardo Poli, Towards the automated localisation of targets in rapid image-sifting by collaborative brain-computer interfaces, PLoS ONE 12(5): e0178498 (2017), doi:10.1371/journal.pone.0178498. PhysioNet platform: Pollard et al. (2026), doi:10.1038/s44360-026-00096-z.

[Open Data Commons Attribution License 1.0 ↗](https://opendatacommons.org/licenses/by/1-0/) · [Dataset record ↗](https://physionet.org/content/ltrsvp/1.0.0/)

BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data belong to the people credited.

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

## Cite this page

BCI Report (2026). *LTRSVP · EEG Signals from an RSVP Task: EEG decoding results*. https://bci.report/datasets/ltrsvp/

Figures from release [`extension-update-20261002`](https://bci.report/releases/#extension-update-20261002) (2026-10-02). 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/ltrsvp/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/