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--- |
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license: mit |
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tags: |
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- tactile |
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- whiskers |
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size_categories: |
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- 1M<n<10M |
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--- |
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This is the ShapeNet whisking dataset used in our paper: https://arxiv.org/abs/2505.18361 |
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- `110hz/` is the high-variation low-fidelity dataset |
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- `1000hz/` is the low-variation high-fidelity dataset |
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- `models` contains checkpoints for our two models with the best task/neural score |
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### Citation |
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If you use this dataset in your work, please cite: |
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``` |
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@misc{chung2025tactile, |
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title={Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain}, |
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author={Trinity Chung and Yuchen Shen and Nathan C. L. Kong and Aran Nayebi}, |
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year={2025}, |
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eprint={2505.18361}, |
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archivePrefix={arXiv}, |
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primaryClass={q-bio.NC}, |
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url={https://arxiv.org/abs/2505.18361}, |
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} |
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``` |
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### Contact |
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If you have any questions or encounter issues, feel free to contact Trinity. |
