Park Il Memming, Meister Miriam L R, Huk Alexander C, Pillow Jonathan W
1] Center for Perceptual Systems, The University of Texas at Austin, Austin, Texas, USA. [2] Department of Psychology, The University of Texas at Austin, Austin, Texas, USA. [3] Institute for Neuroscience, The University of Texas at Austin, Austin, Texas, USA.
1] Institute for Neuroscience, The University of Texas at Austin, Austin, Texas, USA. [2] Department of Physiology and Biophysics, University of Washington, Seattle, Washington, USA.
Nat Neurosci. 2014 Oct;17(10):1395-403. doi: 10.1038/nn.3800. Epub 2014 Aug 31.
It has been suggested that the lateral intraparietal area (LIP) of macaques plays a fundamental role in sensorimotor decision-making. We examined the neural code in LIP at the level of individual spike trains using a statistical approach based on generalized linear models. We found that LIP responses reflected a combination of temporally overlapping task- and decision-related signals. Our model accounts for the detailed statistics of LIP spike trains and accurately predicts spike trains from task events on single trials. Moreover, we derived an optimal decoder for heterogeneous, multiplexed LIP responses that could be implemented in biologically plausible circuits. In contrast with interpretations of LIP as providing an instantaneous code for decision variables, we found that optimal decoding requires integrating LIP spikes over two distinct timescales. These analyses provide a detailed understanding of neural representations in LIP and a framework for studying the coding of multiplexed signals in higher brain areas.
有人提出，猕猴的侧顶内区（LIP）在感觉运动决策中起基本作用。我们使用基于广义线性模型的统计方法，在单个神经元放电序列水平上研究了LIP中的神经编码。我们发现，LIP反应反映了时间上重叠的任务相关信号和决策相关信号的组合。我们的模型考虑了LIP神经元放电序列的详细统计信息，并能准确预测单次试验中任务事件产生的神经元放电序列。此外，我们为LIP的异质、多路复用反应推导了一个最优解码器，该解码器可在生物学上合理的电路中实现。与将LIP解释为为决策变量提供瞬时编码不同，我们发现最优解码需要在两个不同的时间尺度上对LIP神经元放电进行整合。这些分析为深入理解LIP中的神经表征提供了依据，并为研究高等脑区多路复用信号的编码提供了框架。
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