Department of Physiology, University of California, San Francisco, San Francisco, CA 94143, USA.
Neuron. 2013 Jul 10;79(1):167-79. doi: 10.1016/j.neuron.2013.05.026.
We have used a new approach to study the neural decoding function that converts the population response in extrastriate area MT into estimates of target motion to drive smooth pursuit eye movement. Experiments reveal significant trial-by-trial correlations between the responses of MT neurons and the initiation of pursuit. The preponderance of significant correlations and the relatively low reduction in noise between MT and the behavioral output support the hypothesis of a sensory origin for at least some of the trial-by-trial variation in pursuit initiation. The finding of mainly positive MT-pursuit correlations, whether the target speed is faster or slower than the neuron's preferred speed, places strong constraints on the neural decoding computation. We propose that decoding is based on normalizing a weighted population vector of opponent motion responses; normalization comes from neurons uncorrelated with those used to compute the weighted population vector.
我们采用了一种新的方法来研究神经解码功能，该功能将外侧纹状区 MT 的群体反应转换为目标运动的估计值，以驱动平滑追踪眼动。实验揭示了 MT 神经元的反应与追踪开始之间存在显著的逐次试验相关性。大量显著相关的存在以及 MT 与行为输出之间相对较低的噪声降低支持了以下假设：至少在某些情况下，追踪开始的逐次试验变化源自感觉。无论是目标速度快于还是慢于神经元的最佳速度，MT 与追踪的主要正相关都对神经解码计算施加了很强的约束。我们提出，解码是基于对对手运动反应的加权群体向量进行归一化；归一化来自与用于计算加权群体向量的神经元不相关的神经元。
