Localization and Distribution of Function in the Brain

K. Pribram
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Abstract

'-, , -Triroughout his research career, Karl Lashley remained puzzled by-the relationship between brain, behavior, and experience. On one hand, his experiments showed the brain to be put together with exquisite anatomical precision, which was to 'some degree reflected in the separation by behavioral function of the several sensorimotor systems and even regional differences within the so-called association areas, On the other hand, results of other experiments and observations made it clear that engrams, memory traces, could not be localized and that perceptual images and motor panerns displayed constancies and equivalences for which it was difficult to conceive any permanent "wiring diagram. " Lashley is best known for his continuing attention to these nonlocalizable aspects of brain function that he formalized in the laws of mass action and equipotentiality. But it should be remembered that these aspects were puzzling to Lashley in large part because he was so keenly aware of the anatomical precision of the connectivity th'at gave rise to nonlocal characteristics in function. Had the brain been shown to be essentially a randomly connected network (as was so often assumed by those then working in the field of artificial intelligence), the problem might not have loomed so insurmountable. In this chapter I present data that fill out a theoretical frame that was proposed by Lashley as a possible resolution of the localizationlnonlocalization puzzle. These data have accumulated during the quarter century that has intervened since his last paper. The data have been gathered without reference to the frame, and the frame itself was derived, not from brain-behavior studies, but from the
大脑功能的定位和分布
在卡尔·拉什利的整个研究生涯中,他一直对大脑、行为和经验之间的关系感到困惑。一方面,他的实验表明,大脑在解剖学上是精确地组合在一起的,这在某种程度上反映在几个感觉运动系统的行为功能的分离上,甚至在所谓的联想区域内的区域差异上。另一方面,其他实验和观察的结果清楚地表明,印痕、记忆痕迹、不能定位,而且感知图像和运动模式显示的是恒常性和等效性,很难想象出任何永久的“接线图”。拉什利最为人所知的是他对大脑功能不可定位方面的持续关注,并将其形式化于质量作用和等电位定律中。但要记住的是,这些方面让拉什利感到困惑,很大程度上是因为他非常敏锐地意识到连接的解剖学精度,这导致了功能上的非局部特征。如果大脑被证明本质上是一个随机连接的网络(就像当时从事人工智能领域工作的人经常假设的那样),这个问题可能就不会显得如此难以克服。在本章中,我将提供一些数据,以充实Lashley提出的一个理论框架,作为解决定位与非定位难题的可能方法。这些数据是在他上一篇论文之后的25年里积累起来的。这些数据是在没有参考框架的情况下收集的,框架本身不是来自大脑行为研究,而是来自
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