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首页> 外文期刊>Seeing and perceiving >Magnitude of Perceived Change in Natural Images May BeLinearly Proportional to Differences in NeuronalFiring Rates
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Magnitude of Perceived Change in Natural Images May BeLinearly Proportional to Differences in NeuronalFiring Rates

机译：自然图像中感知变化的幅度可能与神经元激发速率的差异成线性比例

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摘要

We are studying how people perceive naturalistic suprathreshold changes in the colour, size, shape or loca-tion of items in images of natural scenes, using magnitude estimation ratings to characterise the sizes of the perceived changes in coloured photographs. We have implemented a computational model that tries to explain observers' ratings of these naturalistic differences between image pairs. We model the action-potential firing rates of, millions of neurons, having linear and non-linear summation behaviour closely modelled on real VI neurons. The numerical parameters of the model's sigmoidal transducer function are set by optimising the same model to experiments on contrast discrimination (contrast `dippers') on monochrome photographs of natural scenes. The model, optimised on a stimulus-intensity domain in an experiment reminiscent of the Weber–Fechner relation, then produces tolerable predictions of the ratings for most kinds of naturalistic image change. Importantly, rating rises roughly linearly with the model's numerical output, which represents differences in neuronal firing rate in response to the two images under comparison; this implies that rating is proportional to the neuronal response.
机译：我们正在研究人们如何看待自然场景图像中项目的颜色，大小，形状或位置的自然变化，使用幅度估计等级来表征彩色照片中感知到的变化的大小。我们实现了一个计算模型，该模型试图解释观察者对图像对之间这些自然差异的评价。我们对数百万个神经元的动作电位激发速率进行了建模，这些线性和非线性求和行为的行为与真实VI神经元密切相关。该模型的S形换能器函数的数值参数是通过优化同一模型以对自然场景的单色照片上的对比度判别（“北斗”）进行实验来设置的。该模型在让人联想到Weber-Fechner关系的实验中在刺激强度域上进行了优化，然后针对大多数自然图像变化对等级进行可忍受的预测。重要的是，评分与模型的数值输出大致呈线性增长，这代表了响应的两个比较图像在神经元放电速率上的差异;这意味着等级与神经元反应成正比。

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