Proj 2: Decision Making and Control in Perception and Attention (p. 184 - 206)

知觉识别是决策的一种基本形式。在这个项目中，我们提出了一套 猴和猴知觉决策的功能神经解剖学研究 人类使用功能磁共振成像和行为测量来测试DDM对刺激效果的预测 辨别难度、注意、刺激概率、任务和反应方式对神经活动的影响 知觉和决策大脑皮层区域。我们已经开发出执行fMRI的功能 清醒，表现为猴子，允许我们在猴子和人类身上使用功能磁共振成像进行平行实验 猴子的单单元记录(在项目5下)。这些平行的研究将使用相同的知觉 决策任务：有眼动反应的运动辨别。然后我们将通过以下方式扩展这项工作 进一步的刺激和任务操纵。基于DDM，我们预测刺激的操纵 概率、刺激辨别难度、反应方式和任务要求会产生不同的影响 与知觉表征相关的区域中的活动和作为信息的累积者的区域 决策。利用功能磁共振成像技术，我们将检验DDM对偏向效应的预测 在注意力任务中操纵刺激概率。我们将把对DDM的调查扩大到更多 行为和功能磁共振研究中的复杂刺激，即面部。鉴于目前DDMto的应用 决策的神经科学假设存在两个种群，每个种群编码一个 具有简单比率代码的两种可能的刺激，面部和其他复杂刺激的神经表示 涉及具有多个神经种群的分布式种群反应。对于基于以下各项的决策 对于复杂刺激的识别，知觉表征必须基于符合以下条件的群体反应 转换成由决策任务需求确定的两个备选方案的简单代码。建议数 研究将解决DDM是否可以扩展到分布式神经表示的模型。

Perceptual recognition is a fundamental forms of decision-making. In this project, we propose a set of experiments to investigate the functional neuroanatomy of perceptual decision-making in monkeys and humans using fMRI and behavioral measures to test predictions of the DDM on the effects of stimulus discrimination difficulty, attention, stimulus probability, task, and response modality on neural activity in perceptual and decision-making cortical regions. We have developed the capability to perform fMRI in awake, behaving monkeys, allowing us to run parallel experiments using fMRI in monkeys and humans and single unit recording in monkeys (under project 5). These parallel studies will use the same perceptual decision-making task: motion discrimination with oculomotor response. We will then extend this work with further stimulus and task manipulations. Based on the DDM, we predict that manipulations of stimulus probability, stimulus discrimination difficulty, response modality, and task demands will have differing effects on activity in areas associated with perceptual representation and areas that act as accumulators for decision-making. Using fMRI we will test the predictions of the DDM on the biasing effect induced by manipulating stimulus probabilities in an attention task. We will extend our investigation of the DDM to more complex stimuli, namely faces, in behavioral and fMRI studies. Whereas current application of the DDMto the neuroscience of decision-making assumesthe existence of two populations, each of which codes one of two possible stimuli with a simple rate code, the neural representation of faces and other complex stimuli involves a distributed population response with multiple neural populations. For decisions based on recognition of complex stimuli, perceptual representation must be based on population responses that are translated into a simple code for two alternatives determined by decision task demands. The proposed studies will address whether the DDM can be extended to a model of distributed neural representation.