Patterson Karalyn, Plaut David C
MRC Cognition and Brain Sciences UnitCarnegie Mellon University.
Top Cogn Sci. 2009 Jan;1(1):39-58. doi: 10.1111/j.1756-8765.2008.01012.x.
This article presents a sobering view of the discipline of cognitive neuropsychology as practiced over the last three or four decades. Our judgment is that, although the study of abnormal cognition resulting from brain injury or disease in previously normal adults has produced a catalogue of fascinating and highly selective deficits, it has yielded relatively little advance in understanding how the brain accomplishes its cognitive business. We question the wisdom of the following three "choices" in mainstream cognitive neuropsychology: (a) single-case methodology, (b) dissociation between functions as the most important source of evidence, and (c) a central goal of diagramming the functional architecture of cognition rather than specifying how its components work. These choices may all stem from an excessive commitment to strict and fine-grained modularity. Although different brain regions are undoubtedly specialized for different functions, we argue that parallel and interactive processing is a better assumption about cognitive processing. The essential goal of specifying representations and processes can, we claim, be significantly assisted by computational modeling which, by its very nature, requires such specification.
本文呈现了对认知神经心理学学科在过去三四十年实践情况的一种发人深省的观点。我们的判断是,尽管对先前正常成年人因脑损伤或疾病导致的异常认知的研究已经产生了一系列引人入胜且高度选择性的缺陷,但在理解大脑如何完成其认知任务方面进展相对较少。我们质疑主流认知神经心理学中以下三个“选择”的明智性:(a)单病例方法,(b)将功能分离作为最重要的证据来源,以及(c)描绘认知功能架构而非具体说明其组成部分如何工作这一核心目标。这些选择可能都源于对严格且精细模块化的过度执着。虽然不同脑区无疑专门负责不同功能,但我们认为并行和交互式处理是关于认知加工的一个更好假设。我们声称,通过计算建模能够显著辅助明确表征和过程这一基本目标,而计算建模本质上就需要这种明确性。