Pastor-Bernier Alexandre, Volkmann Konstantin, Chi U Seak Leo, Stasiak Arkadiusz, Plott Charles R, Schultz Wolfram
Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK.
Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA.
STAR Protoc. 2023 Jun 8;4(2):102296. doi: 10.1016/j.xpro.2023.102296.
Realistic, everyday rewards contain multiple components, such as taste and size. However, our reward valuations and the associated neural reward signals are single dimensional (vector to scalar transformation). Here, we present a protocol to identify these single-dimensional neural responses for multi-component choice options in humans and monkeys using concept-based behavioral choice experiments. We describe the use of stringent economic concepts to develop and implement behavioral tasks. We detail regional neuroimaging in humans and fine-grained neurophysiology in monkeys and describe approaches for data analysis. For complete details on the use and execution of this protocol, please refer to our work on humans Seak et al. and Pastor-Bernier et al. and monkeys Pastor-Bernier et al. , Pastor-Bernier et al., and Pastor-Bernier et al..
现实生活中的日常奖励包含多个组成部分，如味道和大小。然而，我们的奖励估值以及相关的神经奖励信号是单维的（从向量到标量的转换）。在这里，我们提出了一种方案，通过基于概念的行为选择实验来识别人类和猴子中针对多成分选择选项的这些单维神经反应。我们描述了使用严格的经济概念来开发和实施行为任务。我们详细介绍了人类的区域神经成像和猴子的精细神经生理学，并描述了数据分析方法。有关此方案的使用和执行的完整详细信息，请参考我们关于人类的研究（Seak等人和Pastor-Bernier等人）以及关于猴子的研究（Pastor-Bernier等人、Pastor-Bernier等人和Pastor-Bernier等人）。
