An actor-model framework for visual sensory encoding

This record contains the dataset used in the article:"Leong, F., Rahmani, B., Psaltis, D. et al. An actor-model framework for visual sensory encoding. Nat Commun 15, 808 (2024).https://doi.org/10.1038/s41467-024-45105-5"The code to load the model and generate the figures in the article is available at https://doi.org/10.5281/zenodo.10519578 There are four folders: 'models' contains the trained neural network for the different experiments. 'spikes_data' contains the data used to train the neural network. This can be used to train a network from scratch. 'Van_Hateren_image' contains the image dataset used in the experiments.'stimulus' contains the stimulus used as input to train the forward and actor models.本数据集对应学术论文《Leong, F., Rahmani, B., Psaltis, D. 等. 面向视觉感官编码的演员模型（actor-model）框架. 自然-通讯（Nat Commun）, 15, 808 (2024). https://doi.org/10.1038/s41467-024-45105-5》所使用的全部数据。用于加载模型与生成该论文插图的代码可访问链接：https://doi.org/10.5281/zenodo.10519578。 本数据集包含四个子文件夹： 1. `models`：存储用于各项不同实验的预训练神经网络模型； 2. `spikes_data`：存储用于训练神经网络的脉冲数据集，可用于从零开始训练神经网络模型； 3. `Van_Hateren_image`：存储实验过程中使用的图像数据集； 4. `stimulus`：存储作为前向模型与演员模型输入的刺激数据。