Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli
Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli
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DOI：
10.1088/0954-898x/12/3/304
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发表时间：
2001-08-01
影响因子：
7.8
通讯作者：
Gallant, JL
中科院分区：
文献类型：
--
作者：
Theunissen, FE;David, SV;Gallant, JL
我们提出了一个广义的反向相关技术，可用于估计时空感受野（STRFs）的感觉神经元从他们的反应，如听觉发声或自然视觉场景的任意刺激。STRF估计的一般解决方案需要通过刺激自相关矩阵对刺激-响应互相关进行归一化。当二阶刺激统计是平稳的，归一化只涉及傅立叶变换自相关矩阵（功率谱）的对角元素。在非平稳情况下，归一化需要整个自相关矩阵。我们目前的建模研究，证明了这种方法的可行性和准确性，以及神经生理数据比较STRF估计使用自然与合成刺激合奏。对于听觉和视觉神经元，这些不同的刺激获得的STRF是相似的，但表现出系统的差异，可能是功能上的显着。这种方法应该是有用的，以确定哪些方面的自然信号所代表的感觉神经元，并可能揭示这些神经元的新的响应特性。
We present a generalized reverse correlation technique that can be used to estimate the spatio-temporal receptive fields (STRFs) of sensory neurons from their responses to arbitrary stimuli such as auditory vocalizations or natural visual scenes. The general solution for STRF estimation requires normalization of the stimulus-response cross-correlation by the stimulus autocorrelation matrix. When the second-order stimulus statistics are stationary, normalization involves only the diagonal elements of the Fourier-transformed auto-correlation matrix (the power spectrum). In the non-stationary case normalization requires the entire auto-correlation matrix. We present modelling studies that demonstrate the feasibility and accuracy of this method as well as neurophysiological data comparing STRFs estimated using natural versus synthetic stimulus ensembles. For both auditory and visual neurons, STRFs obtained with these different stimuli are similar, but exhibit systematic differences that may be functionally significant. This method should be useful for determining what aspects of natural signals are represented by sensory neurons and may reveal novel response properties of these neurons.