Center for Cognitive Neuroscience, Duke Institute for Brain Sciences, Duke University Durham, NC, USA ; Department of Psychology, Yale University New Haven, CT, USA.
Front Neurosci. 2013 Aug 21;7:147. doi: 10.3389/fnins.2013.00147. eCollection 2013.
A coordinate transformation framework for understanding how neurons compute sensorimotor behaviors has generated significant advances toward our understanding of basic brain function. This influential scaffold focuses on neuronal encoding of spatial information represented in different coordinate systems (e.g., eye-centered, hand-centered) and how multiple brain regions partake in transforming these signals in order to ultimately generate a motor output. A powerful analogy can be drawn from the coordinate transformation framework to better elucidate how the nervous system computes cognitive variables for social behavior. Of particular relevance is how the brain represents information with respect to oneself and other individuals, such as in reward outcome assignment during social exchanges, in order to influence social decisions. In this article, I outline how the coordinate transformation framework can help guide our understanding of neural computations resulting in social interactions. Implications for numerous psychiatric disorders with impaired representations of self and others are also discussed.
用于理解神经元如何计算感觉运动行为的坐标转换框架在我们对基本大脑功能的理解方面取得了重大进展。这个有影响力的框架侧重于神经元对不同坐标系(例如,以眼睛为中心、以手为中心)中表示的空间信息的编码,以及多个大脑区域如何参与转换这些信号,以最终产生运动输出。可以从坐标转换框架中得出一个强有力的类比,以更好地阐明神经系统如何计算社会行为的认知变量。特别相关的是大脑如何代表关于自己和他人的信息,例如在社交互动中分配奖励结果,以影响社交决策。在本文中,我概述了坐标转换框架如何帮助我们理解导致社交互动的神经计算。还讨论了对自我和他人的代表受损的多种精神障碍的影响。