Nonlinear spatial integration allows the retina to detect the sign of defocus in natural scenes

The dataset comprises three types of data. First, multi-electrode array recordings of mouse retinal ganglion cells performed by Awen Louboutin and Tom Quetu. Second, point spread functions from mouse and human optical eye models, and associated convolved natural images. Third, results from a convolutional neural network model trainings.本数据集涵盖三类数据：其一，由Awen Louboutin与Tom Quetu完成的小鼠视网膜神经节细胞（retinal ganglion cells）多电极阵列（multi-electrode array）记录数据；其二，源自小鼠与人类眼部光学模型的点扩散函数（point spread functions），以及与之相关的卷积自然图像；其三，卷积神经网络（convolutional neural network）模型训练所得的实验结果。