Department of Psychological Sciences, Birkbeck College, University of London London, UK.
Front Hum Neurosci. 2015 Feb 27;9:101. doi: 10.3389/fnhum.2015.00101. eCollection 2015.
There has been a great expansion of research into human reasoning at all of Marr's explanatory levels. There is a tendency for this work to progress within a level largely ignoring the others which can lead to slippage between levels (Chater et al., 2003). It is argued that recent brain imaging research on deductive reasoning-implementational level-has largely ignored the new paradigm in reasoning-computational level (Over, 2009). Consequently, recent imaging results are reviewed with the focus on how they relate to the new paradigm. The imaging results are drawn primarily from a recent meta-analysis by Prado et al. (2011) but further imaging results are also reviewed where relevant. Three main observations are made. First, the main function of the core brain region identified is most likely elaborative, defeasible reasoning not deductive reasoning. Second, the subtraction methodology and the meta-analytic approach may remove all traces of content specific System 1 processes thought to underpin much human reasoning. Third, interpreting the function of the brain regions activated by a task depends on theories of the function that a task engages. When there are multiple interpretations of that function, interpreting what an active brain region is doing is not clear cut. It is concluded that there is a need to more tightly connect brain activation to function, which could be achieved using formalized computational level models and a parametric variation approach.
在马的所有解释层面上,对人类推理的研究都有了很大的扩展。这项工作往往在一个层面上进行,而在很大程度上忽略了其他层面,这可能导致层面之间的滑动(Chatter 等人,2003)。有人认为,最近关于演绎推理的大脑成像研究——实现层面——在很大程度上忽略了推理的新范式——计算层面(Over,2009)。因此,本文主要关注如何与新范式相关,对最近的成像结果进行了回顾。成像结果主要来自 Prado 等人最近的一项荟萃分析(2011 年),但在相关的地方也回顾了进一步的成像结果。得出了三个主要观察结果。首先,确定的核心脑区的主要功能很可能是详尽的、可反驳的推理,而不是演绎推理。其次,减法方法和元分析方法可能会消除所有认为是人类推理基础的系统 1 内容特定过程的痕迹。第三,解释任务激活的大脑区域的功能取决于任务所涉及的功能理论。当对该功能有多种解释时,解释活跃的大脑区域在做什么就不那么清楚了。结论是需要更紧密地将大脑激活与功能联系起来,这可以通过使用形式化的计算层面模型和参数变化方法来实现。