Atari-style video game learning fMRI
收藏OpenNeuro2022-10-31 更新2026-03-14 收录
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https://openneuro.org/datasets/ds004323
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资源简介：
Atari-style video game learning fMRI
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This dataset contains behavioral and functional MRI (BOLD) data from 32 human subjects learning to play different Atari-style games. Additionally, it includes code for analyzing the data using two different models:
* Explore, Model, Plan Agent (EMPA): a theory-based reinforcement learning agent (see [Tsividis et al. (2021)](https://arxiv.org/abs/2107.12544v1)),
* Double Deep Reinforcement Learning network (DDQN): a deep reinforcement learning agent (see [van Hasselt et al. (2015)](https://arxiv.org/abs/1509.06461))
This dataset was collected for the following paper:
* [Tomov, M.S., Tsividis, P.A., Pouncy, T., Tenenbaum, J.B., & Gershman, S.J. (2022). The neural architecture of theory-based reinforcement learning.](https://www.biorxiv.org/content/10.1101/2022.06.14.496001v1)
For more information, see the Methods section of the paper.
创建时间：
2022-10-31
