Cope Davis, Blakeslee Barbara, McCourt Mark E
J Opt Soc Am A Opt Image Sci Vis. 2013 Nov 1;30(11):2401-8. doi: 10.1364/JOSAA.30.002401.
A class of models for lateral geniculate nucleus (LGN) on-cell behavior is proposed. The models consist of a linear filter with divisive normalization by root mean square local contrast and include an intrinsic noise density parameter. The properties of these models are shown to match observed LGN behavior: (1) a linear response to low-magnitude stimuli; (2) a linear response without saturation (luxotonic behavior) for zero-contrast stimuli (homogeneous fields) with increasing magnitude; and (3) response saturation for nonzero contrast stimuli with increasing magnitude. The models possess an intrinsic scale for signal-to-noise ratio (SNR). The models show under and supersaturation, as well as saturation, for sinusoidal grating stimuli with increasing contrast and predict that different SNR regimes will cause a single neuron to show different contrast response curves. A companion paper [1] provides a detailed analysis of the full nonlinear response for sinusoidal grating stimuli and circular spot stimuli.
提出了一类用于外侧膝状体（LGN）on细胞行为的模型。这些模型由一个通过均方根局部对比度进行归一化的线性滤波器组成，并包含一个固有噪声密度参数。这些模型的特性被证明与观察到的LGN行为相匹配：（1）对低强度刺激的线性响应；（2）对于零对比度刺激（均匀场），随着强度增加，线性响应且无饱和（光强适应行为）；（3）对于非零对比度刺激，随着强度增加响应饱和。这些模型具有信噪比（SNR）的固有尺度。对于对比度增加的正弦光栅刺激，这些模型表现出欠饱和、过饱和以及饱和情况，并预测不同的SNR状态将导致单个神经元表现出不同的对比度响应曲线。一篇配套论文[1]提供了对正弦光栅刺激和圆形光斑刺激的完整非线性响应的详细分析。
