基于鸽子视顶盖神经元响应对不同颜色背景字符图像的重建研究

解析脑神经元动作电位（spike）表征的视觉信息是重要的科学问题，从spike信号中重建视觉刺激是解决该问题的重要途径。提供了一种从神经元spike信号重建视觉刺激的方法，通过提取四种颜色背景下五种字符图像刺激的鸽视顶盖（OT）神经元的spike发放率特征，构建线性逆滤波器和随机森林重建模型，优化模型参数，从而实现不同颜色背景的字符图像重建并分析了背景颜色对重建结果的影响。结果表明，最优参数条件下，线性逆滤波器模型对白、红、绿、蓝背景下字符图像的平均重建正确率达到0.9225±0.0268、0.9027±0.0204、0.9358±0.0235、0.8170±0.0313，随机森林模型对应的图像平均重建正确率为0.9499±0.0255、0.9228±0.0303、0.9472±0.0239、0.7913±0.0255。方差分析发现，白色、红色和绿色背景图像重建结果无显著性差异，但这三种颜色背景图像重建结果与蓝色背景重建结果有显著性差异。

Research on character image reconstruction under different color backgrounds based on neuron spike signals in pigeon optic tectum

It is an important scientific problem to analyze visual information represented by action potentials(spike) of brain neurons. Reconstruction of visual stimuli by spike signals is an important approach to solve this problem. This paper provided a method to reconstruct visual stimuli from spike signals of neurons. This experiment adopted five kinds of character images under four color backgrounds to stimulate the pigeons, and then extracted the firing rate characteristics of spike signals from the optic tectum(OT) neurons. And this experiment constructed a linear inverse filter and a random forest reconstruction model and optimized the model parameters to reconstruct characters images under different color backgrounds. And this paper analyzed the effect of background color on reconstruction results. The results show that under optimal parameter, the average reconstruction accuracy of character images in white, red, green and blue backgrounds using the linear inverse filter model is 0.9225±0.0268, 0.9027±0.0204, 0.9358±0.0235, and the average reconstruction accuracy of character images using the random forest model is 0.9499±0.0255, 0.9228±0.0303, 0.9472±0.0239, and 0.7913±0.0255. The analysis of variance shows that there is no significant difference in the image reconstruction results of white, red, and green backgrounds, but the image reconstruction results of the three colors backgrounds are significantly different from the reconstruction results of the blue background image.