Clery Stephane, Cumming Bruce G, Nienborg Hendrikje
University of Tuebingen, Werner Reichardt Centre for Integrative Neuroscience, 72076 Tuebingen, Germany, and.
Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, Maryland 20892.
J Neurosci. 2017 Jan 18;37(3):715-725. doi: 10.1523/JNEUROSCI.2445-16.2016.
Fine judgments of stereoscopic depth rely mainly on relative judgments of depth (relative binocular disparity) between objects, rather than judgments of the distance to where the eyes are fixating (absolute disparity). In macaques, visual area V2 is the earliest site in the visual processing hierarchy for which neurons selective for relative disparity have been observed (Thomas et al., 2002). Here, we found that, in macaques trained to perform a fine disparity discrimination task, disparity-selective neurons in V2 were highly selective for the task, and their activity correlated with the animals' perceptual decisions (unexplained by the stimulus). This may partially explain similar correlations reported in downstream areas. Although compatible with a perceptual role of these neurons for the task, the interpretation of such decision-related activity is complicated by the effects of interneuronal "noise" correlations between sensory neurons. Recent work has developed simple predictions to differentiate decoding schemes (Pitkow et al., 2015) without needing measures of noise correlations, and found that data from early sensory areas were compatible with optimal linear readout of populations with information-limiting correlations. In contrast, our data here deviated significantly from these predictions. We additionally tested this prediction for previously reported results of decision-related activity in V2 for a related task, coarse disparity discrimination (Nienborg and Cumming, 2006), thought to rely on absolute disparity. Although these data followed the predicted pattern, they violated the prediction quantitatively. This suggests that optimal linear decoding of sensory signals is not generally a good predictor of behavior in simple perceptual tasks.
Activity in sensory neurons that correlates with an animal's decision is widely believed to provide insights into how the brain uses information from sensory neurons. Recent theoretical work developed simple predictions to differentiate decoding schemes, and found support for optimal linear readout of early sensory populations with information-limiting correlations. Here, we observed decision-related activity for neurons in visual area V2 of macaques performing fine disparity discrimination, as yet the earliest site for this task. These findings, and previously reported results from V2 in a different task, deviated from the predictions for optimal linear readout of a population with information-limiting correlations. Our results suggest that optimal linear decoding of early sensory information is not a general decoding strategy used by the brain.
立体深度的精细判断主要依赖于物体之间深度的相对判断(相对双眼视差),而非眼睛注视点距离的判断(绝对视差)。在猕猴中,视觉区域V2是视觉处理层级中最早观察到对相对视差具有选择性的神经元的部位(托马斯等人,2002年)。在此,我们发现,在经过训练执行精细视差辨别任务的猕猴中,V2区的视差选择性神经元对该任务具有高度选择性,并且它们的活动与动物的感知决策相关(无法用刺激来解释)。这可能部分解释了在下游区域所报告的类似相关性。尽管这与这些神经元在该任务中的感知作用相符,但这种与决策相关的活动的解释因感觉神经元之间的神经元间“噪声”相关性的影响而变得复杂。最近的研究工作已经开发出简单的预测方法来区分解码方案(皮特科夫等人,2015年),而无需测量噪声相关性,并发现早期感觉区域的数据与具有信息限制相关性的群体的最优线性读出相符。相比之下,我们这里的数据与这些预测有显著偏差。我们还针对先前报道的V2区在一项相关任务(粗略视差辨别,尼恩伯格和卡明,2006年)中与决策相关的活动结果测试了这一预测,该任务被认为依赖于绝对视差。尽管这些数据遵循了预测模式,但在数量上违反了预测。这表明感觉信号的最优线性解码通常并非简单感知任务中行为的良好预测指标。
与动物决策相关的感觉神经元活动被广泛认为能为大脑如何利用感觉神经元的信息提供见解。最近的理论研究工作开发了简单的预测方法来区分解码方案,并发现支持对具有信息限制相关性的早期感觉群体进行最优线性读出。在此,我们观察到猕猴视觉区域V2中执行精细视差辨别任务的神经元的决策相关活动,这是该任务的最早部位。这些发现以及先前报道的V2区在另一项任务中的结果偏离了对具有信息限制相关性的群体进行最优线性读出的预测。我们的结果表明,早期感觉信息的最优线性解码并非大脑使用的一般解码策略。