# Deep4Net: results on public EEG datasets

Compact model

Deep4Net is Braindecode's name for the deep ConvNet of Schirrmeister et al. (Human Brain Mapping, 2017). It stacks four convolution–max-pooling blocks with ELU activations; the first block is split into a convolution over time and a spatial filter across all electrodes, and a dense softmax layer gives the class output.

**Also known as** Deep4Net · Deep ConvNet · DeepConvNet · Schirrmeister et al. 2017

**Reference** [Schirrmeister RT, Springenberg JT, Fiederer LDJ, Glasstetter M, Eggensperger K, Tangermann M, Hutter F, Burgard W, Ball T. Deep learning with convolutional neural networks for EEG decoding and visualization. Human Brain Mapping 38(11):5391–5420, 2017. ↗](https://doi.org/10.1002/hbm.23730)

Directory status: Evaluated · [Official code ↗](https://github.com/braindecode/braindecode/tree/v1.5.1) · Description sources [arxiv.org](https://arxiv.org/abs/1703.05051) · [pmc.ncbi.nlm.nih.gov](https://pmc.ncbi.nlm.nih.gov/articles/PMC5655781/) · [doi.org](https://doi.org/10.1002/hbm.23730) · [github.com](https://github.com/braindecode/braindecode/blob/v1.5.1/braindecode/models/deep4.py) · [github.com](https://github.com/robintibor/braindecode) · [github.com](https://github.com/TNTLFreiburg/braindecode)

## Published results

Grouped by dataset. Compare figures within a group only: across groups the task, cohort, chance level and electrode layout all change.

### [ds005342](https://bci.report/datasets/ds005342/) · Core matrix · idle & command

Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · [experiments.json](https://bci.report/data/experiments.json)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [Deep4Net](https://bci.report/methods/deep4net/) | Seated motor imagery · cue-gated replay | Command detection ≤3 s | 3.3% | 4 |
| [Deep4Net](https://bci.report/methods/deep4net/) | Seated motor imagery · cue-gated replay | Idle false activation | 1.7% | 4 |

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

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Markdown copy of https://bci.report/methods/deep4net/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/