Horridge Adrian
Research School of Biological Sciences, Australian National University, Box 475, Canberra ACT 2601, Australia.
J Exp Biol. 2009 Sep 1;212(17):2721-9. doi: 10.1242/jeb.030916.
The compound eye of the bee is an array of photoreceptors, each at an angle to the next, and therefore it catches an image of the outside world just as does the human eye, except that the image is not inverted. Eye structure, however, tells us little about what the bee actually abstracts from the panorama. Moreover, it is not sufficient to observe that bees recognise patterns, because they may be responding to only small parts of them. The only way we can tell what the bee actually detects is to train bees to come to simple patterns or distinguish between two patterns and then present the trained bees with test patterns to see what they have learned. After much training and numerous tests, it was possible to identify the parameters in the patterns that the bees detected and remembered, to study the responses of the trained bees to unfamiliar patterns and to infer the steps in the visual processing mechanism. We now have a simple mechanistic explanation for many observations that for almost a century have been explained by analogy with cognitive behaviour of higher animals. A re-assessment of the capabilities of the bee is required. Below the photoreceptors, the next components of the model mechanism are small feature detectors that are one, two or three ommatidia wide that respond to light intensity, direction of passing edges or orientation of edges displayed by parameters in the pattern. At the next stage, responses of the feature detectors for area and edges are summed in various ways in each local region of the eye to form several types of local internal feature totals, here called cues. The cues are the units of visual memory in the bee. At the next stage, summation implies that there is one of each type in each local eye region and that local details of the pattern are lost. Each type of cue has its own identity, a scalar quantity and a position. The coincidence of the cues in each local region of the eye is remembered as a retinotopic label for a landmark. Bees learn landmark labels at large angles to each other and use them to identify a place and find the reward. The receptors, feature detectors, cues and coincidences of labels for landmarks at different angles, correspond to a few letters, words and sentences and a summary description for a place. Shapes, objects and cognitive appraisal of the image have no place in bee vision. Several factors prevented the advance in understanding until recently. Firstly, until the mid-century, so little was known that no mechanisms were proposed. At that time it was thought that the mechanism of the visual processing could be inferred intuitively from a successful training alone or from quantitative observations of the percentage of correct choices after manipulation of the patterns displayed. The components were unknown and there were too many unidentified channels of causation in parallel (too many cues learned at the same time) for this method to succeed. Secondly, for 100 years, the criterion of success of the bees was their landing at or near the reward hole in the centre of the pattern. At the moment of choice, therefore, the angle subtended by the pattern at the eye of the bees was very large, 100-130 deg., with the result that a large part of the eye learned a number of cues and several labels on the target. As a result, in critical tests the bees would not respond but just went away, so that the components of the system could not be identified. Much effort was therefore wasted. These problems were resolved when the size of the target was reduced to about the size of one or two fields of the cues and landmark labels, 40-45 deg., and the trained bees were tested to see whether they could or could not recognise the test targets.
蜜蜂的复眼是由一系列光感受器组成的,每个光感受器与相邻的光感受器都呈一定角度,因此它捕捉到的外界图像与人眼类似,只是图像不会颠倒。然而,眼睛的结构并不能告诉我们蜜蜂从全景中实际提取了什么信息。此外,仅仅观察到蜜蜂能够识别图案是不够的,因为它们可能只是对图案的一小部分做出反应。我们能够确定蜜蜂实际检测到什么的唯一方法,是训练蜜蜂识别简单图案或区分两种图案,然后向经过训练的蜜蜂展示测试图案,以了解它们学到了什么。经过大量的训练和无数次测试,才有可能确定蜜蜂检测到并记住的图案中的参数,研究经过训练的蜜蜂对不熟悉图案的反应,并推断视觉处理机制中的步骤。对于近一个世纪以来一直通过与高等动物认知行为进行类比来解释的许多观察结果,我们现在有了一个简单的机械论解释。需要对蜜蜂的能力进行重新评估。在光感受器之下,模型机制的下一个组成部分是小型特征探测器,它们宽一个、两个或三个小眼面,对光强度、通过边缘的方向或图案中参数显示的边缘方向做出反应。在下一阶段,眼睛每个局部区域中的特征探测器对区域和边缘的反应以各种方式进行汇总,以形成几种类型的局部内部特征总和,这里称为线索。线索是蜜蜂视觉记忆的单元。在下一阶段,汇总意味着每个局部眼区域中每种类型都有一个,并且图案的局部细节会丢失。每种类型的线索都有其自身的标识、一个标量值和一个位置。眼睛每个局部区域中线索的重合被作为地标的视网膜拓扑标签记住。蜜蜂学习相互之间夹角很大的地标标签,并利用它们来识别一个地方并找到奖励。感受器、特征探测器、线索以及不同角度地标标签的重合,对应于几个字母、单词和句子以及对一个地方的简要描述。形状、物体和对图像的认知评估在蜜蜂视觉中没有一席之地。直到最近,有几个因素阻碍了这方面理解的进展。首先,直到本世纪中叶,人们所知甚少,因此没有提出任何机制。当时人们认为,仅从成功的训练或对操纵显示图案后正确选择百分比的定量观察中,就能直观地推断出视觉处理机制。组成部分未知,并且并行存在太多未确定的因果通道(同时学到的线索太多),这种方法无法成功。其次,100年来,蜜蜂成功的标准是它们在图案中心的奖励孔处或附近着陆。因此,在选择的那一刻,图案在蜜蜂眼中所张的角度非常大,为100 - 130度,结果眼睛的很大一部分学到了目标上的许多线索和几个标签。结果,在关键测试中蜜蜂不会做出反应,而是直接飞走,这样就无法识别系统的组成部分。因此浪费了很多精力。当将目标的大小减小到大约一个或两个线索和地标标签区域的大小,即40 - 45度,并测试经过训练的蜜蜂是否能够识别测试目标时,这些问题得到了解决。