Inference of nonlinear receptive field subunits with spike-triggered clustering
Inference of nonlinear receptive field subunits with spike-triggered clustering
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DOI：
10.7554/elife.45743
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发表时间：
2020-03-09
期刊：
影响因子：
7.7
通讯作者：
Chichilnisky, E. J.
中科院分区：
文献类型：
--
作者：
Shah, Nishal P.;Brackbill, Nora;Chichilnisky, E. J.
感觉神经元的反应通常使用校正的线性亚单位的加权组合来建模。由于这些亚单位通常不能直接测量，因此需要一种灵活的方法来根据下游神经元的反应来推断它们的性质。我们提出了一种通过软聚类尖峰触发刺激来估计亚单位的最大似然估计方法，并在视觉神经元中验证了其有效性。对于猕猴视网膜中的视网膜节细胞，估计的亚基将感受野划分为紧凑的区域，可能代表聚集的双极细胞输入。联合聚类揭示了相邻细胞之间共享的亚基，产生了一个简约的种群模型。使用位于线性感受野零空间的刺激进行的闭环验证显示，非细胞中的非线性比细胞上的更强。对自然图像的反应，通过抖动来模拟凝视的眼睛运动，通过亚单位模型准确地预测出来。最后，在猕猴V1神经元上验证了该方法的通用性。
Responses of sensory neurons are often modeled using a weighted combination of rectified linear subunits. Since these subunits often cannot be measured directly, a flexible method is needed to infer their properties from the responses of downstream neurons. We present a method for maximum likelihood estimation of subunits by soft-clustering spike-triggered stimuli, and demonstrate its effectiveness in visual neurons. For parasol retinal ganglion cells in macaque retina, estimated subunits partitioned the receptive field into compact regions, likely representing aggregated bipolar cell inputs. Joint clustering revealed shared subunits between neighboring cells, producing a parsimonious population model. Closed-loop validation, using stimuli lying in the null space of the linear receptive field, revealed stronger nonlinearities in OFF cells than ON cells. Responses to natural images, jittered to emulate fixational eye movements, were accurately predicted by the subunit model. Finally, the generality of the approach was demonstrated in macaque V1 neurons.