# Representational Similarity Analysis on Neural dataset Movie2 stimulus

Source: [Representational Similarity Analysis on Neural dataset Movie2 stimulus](<https://www.sota2.com/research/sota/representational-similarity-analysis-on-neural-dataset-movie2-stimulus>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:06:02.402Z

Evaluation of Representational Similarity Analysis (RSA) performance using the Neural dataset Movie2 stimulus, measured by TSRSA score and Percentage of neural ceiling.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Representational Similarity Analysis |
| Dataset (including any stated split) | Neural dataset Movie2 stimulus |
| Metric | TSRSA Score |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [TSRSA Score](<https://www.sota2.com/research/sota/representational-similarity-analysis-on-neural-dataset-movie2-stimulus.md?metric=TSRSA%20Score>): Higher is better; unit: SCALAR.

- [Neural Ceiling (%)](<https://www.sota2.com/research/sota/representational-similarity-analysis-on-neural-dataset-movie2-stimulus.md?metric=Neural%20Ceiling%20(%25)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | TSRSA Score | Result date | Report paper |
| --- | --- | --- | --- |
| LoRaFB-SNet | 0.283 | Not recorded | 68fa5f6f1e209131ce9e9d4a |
| CORnet | 0.223 | Not recorded | 68fa5f6f1e209131ce9e9d4a |
| ResNet-2p-CPC | 0.172 | Not recorded | 68fa5f6f1e209131ce9e9d4a |
| SEW-ResNet | 0.094 | Not recorded | 68fa5f6f1e209131ce9e9d4a |

### LoRaFB-SNet

TSRSA Score: 0.283. Result ID: 698bc7b27a967eddb771506b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa5f6f1e209131ce9e9d4a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5f6f1e209131ce9e9d4a.md>)

[Implementation](<https://github.com/Grasshlw/SNN-Neural-Similarity-Movie>)

Recorded evaluation configuration: {"Pre-training Dataset":"UCF101"}. This record does not assert independent reproduction.

### CORnet

TSRSA Score: 0.223. Result ID: 698bc7b27a967eddb7715068.

[Reporting paper](<https://www.sota2.com/research/paper/68fa5f6f1e209131ce9e9d4a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5ef41e209131ce9e687d.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"UCF101"}. This record does not assert independent reproduction.

### ResNet-2p-CPC

TSRSA Score: 0.172. Result ID: 698bc7b27a967eddb7715069.

[Reporting paper](<https://www.sota2.com/research/paper/68fa5f6f1e209131ce9e9d4a.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"UCF101"}. This record does not assert independent reproduction.

### SEW-ResNet

TSRSA Score: 0.094. Result ID: 698bc7b27a967eddb771506a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa5f6f1e209131ce9e9d4a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ba61e209131cea2f958.md>)

[Implementation](<https://github.com/fangwei123456/Spike-Element-Wise-ResNet>)

Recorded evaluation configuration: {"Pre-training Dataset":"UCF101"}. This record does not assert independent reproduction.

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