Scott Benjamin B, Constantinople Christine M, Erlich Jeffrey C, Tank David W, Brody Carlos D
Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Department of Molecular Biology, Princeton University, Princeton, United States.
Elife. 2015 Dec 17;4:e11308. doi: 10.7554/eLife.11308.
Decision-making behavior is often characterized by substantial variability, but its source remains unclear. We developed a visual accumulation of evidence task designed to quantify sources of noise and to be performed during voluntary head restraint, enabling cellular resolution imaging in future studies. Rats accumulated discrete numbers of flashes presented to the left and right visual hemifields and indicated the side that had the greater number of flashes. Using a signal-detection theory-based model, we found that the standard deviation in their internal estimate of flash number scaled linearly with the number of flashes. This indicates a major source of noise that, surprisingly, is not consistent with the widely used 'drift-diffusion modeling' (DDM) approach but is instead closely related to proposed models of numerical cognition and counting. We speculate that this form of noise could be important in accumulation of evidence tasks generally.
决策行为通常具有显著的变异性,但其来源尚不清楚。我们开发了一种视觉证据积累任务,旨在量化噪声来源,并在自愿头部固定期间进行,以便在未来的研究中实现细胞分辨率成像。大鼠积累呈现给左右视觉半视野的离散闪光数量,并指示闪光数量较多的一侧。使用基于信号检测理论的模型,我们发现它们对闪光数量的内部估计中的标准差与闪光数量呈线性比例关系。这表明了一个主要的噪声来源,令人惊讶的是,这与广泛使用的“漂移扩散建模”(DDM)方法不一致,而是与数值认知和计数的提出模型密切相关。我们推测这种噪声形式在一般的证据积累任务中可能很重要。