Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104-6074, USA.
Cereb Cortex. 2012 May;22(5):1052-67. doi: 10.1093/cercor/bhr178. Epub 2011 Jul 17.
Perceptual decision making requires a complex set of computations to implement, evaluate, and adjust the conversion of sensory input into a categorical judgment. Little is known about how the specific underlying computations are distributed across and within different brain regions. Using a reaction-time (RT) motion direction-discrimination task, we show that a unique combination of decision-related signals is represented in monkey frontal eye field (FEF). Some responses were modulated by choice, motion strength, and RT, consistent with a temporal accumulation of sensory evidence. These responses converged to a threshold level prior to behavioral responses, reflecting decision commitment. Other responses continued to be modulated by motion strength even after decision commitment, possibly providing a memory trace to help evaluate and adjust the decision process with respect to rewarding outcomes. Both response types were encoded by FEF neurons with both narrow- and broad-spike waveforms, presumably corresponding to inhibitory interneurons and excitatory pyramidal neurons, respectively, and with diverse visual, visuomotor, and motor properties, albeit with different frequencies. Thus, neurons throughout FEF appear to make multiple contributions to decision making that only partially overlap with contributions from other brain regions. These results help to constrain how networks of brain regions interact to generate perceptual decisions.
知觉决策需要一系列复杂的计算来实现、评估和调整将感官输入转换为类别判断的过程。目前对于特定的基础计算是如何在不同的大脑区域之间和内部分布的,我们知之甚少。使用反应时(RT)运动方向辨别任务,我们表明,猴子额眼区(FEF)中存在一种独特的决策相关信号组合。一些反应受到选择、运动强度和 RT 的调节,与感觉证据的时间累积一致。这些反应在行为反应之前收敛到一个阈值水平,反映了决策的承诺。其他反应在决策承诺后仍继续受到运动强度的调节,可能提供记忆痕迹,以帮助评估和调整与奖励结果有关的决策过程。这两种反应类型都被 FEF 神经元以窄峰和宽峰波的形式编码,分别对应于抑制性中间神经元和兴奋性锥体神经元,并且具有不同的视觉、视动和运动特性,尽管频率不同。因此,FEF 中的神经元似乎对决策做出了多种贡献,这些贡献与其他大脑区域的贡献只有部分重叠。这些结果有助于限制大脑区域网络如何相互作用以产生知觉决策。