Pinto Lucas, Koay Sue A, Engelhard Ben, Yoon Alice M, Deverett Ben, Thiberge Stephan Y, Witten Ilana B, Tank David W, Brody Carlos D
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, United States.
Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
Front Behav Neurosci. 2018 Mar 6;12:36. doi: 10.3389/fnbeh.2018.00036. eCollection 2018.
The gradual accumulation of sensory evidence is a crucial component of perceptual decision making, but its neural mechanisms are still poorly understood. Given the wide availability of genetic and optical tools for mice, they can be useful model organisms for the study of these phenomena; however, behavioral tools are largely lacking. Here, we describe a new evidence-accumulation task for head-fixed mice navigating in a virtual reality (VR) environment. As they navigate down the stem of a virtual T-maze, they see brief pulses of visual evidence on either side, and retrieve a reward on the arm with the highest number of pulses. The pulses occur randomly with Poisson statistics, yielding a diverse yet well-controlled stimulus set, making the data conducive to a variety of computational approaches. A large number of mice of different genotypes were able to learn and consistently perform the task, at levels similar to rats in analogous tasks. They are sensitive to side differences of a single pulse, and their memory of the cues is stable over time. Moreover, using non-parametric as well as modeling approaches, we show that the mice indeed accumulate evidence: they use multiple pulses of evidence from throughout the cue region of the maze to make their decision, albeit with a small overweighting of earlier cues, and their performance is affected by the magnitude but not the duration of evidence. Additionally, analysis of the mice's running patterns revealed that trajectories are fairly stereotyped yet modulated by the amount of sensory evidence, suggesting that the navigational component of this task may provide a continuous readout correlated to the underlying cognitive variables. Our task, which can be readily integrated with state-of-the-art techniques, is thus a valuable tool to study the circuit mechanisms and dynamics underlying perceptual decision making, particularly under more complex behavioral contexts.
感觉证据的逐渐积累是感知决策的关键组成部分,但其神经机制仍知之甚少。鉴于小鼠有广泛可用的遗传和光学工具,它们可成为研究这些现象的有用模式生物;然而,行为工具却非常缺乏。在此,我们描述了一种用于头部固定的小鼠在虚拟现实(VR)环境中导航的新证据积累任务。当它们沿着虚拟T型迷宫的主干向下导航时,会在两侧看到短暂的视觉证据脉冲,并在脉冲数量最多的臂上获取奖励。这些脉冲以泊松统计随机出现,产生了多样但可控的刺激集,使得数据有利于多种计算方法。大量不同基因型的小鼠能够学习并持续执行该任务,其水平与大鼠在类似任务中的表现相似。它们对单个脉冲的两侧差异敏感,并且对线索的记忆随时间稳定。此外,使用非参数方法以及建模方法,我们表明小鼠确实在积累证据:它们利用来自迷宫整个线索区域的多个证据脉冲来做出决策,尽管对早期线索有轻微的过度加权,并且它们的表现受证据的幅度而非持续时间影响。此外,对小鼠奔跑模式的分析表明,轨迹相当刻板,但受感觉证据量的调节,这表明该任务的导航部分可能提供与潜在认知变量相关的连续读数。因此,我们的任务可以很容易地与最先进的技术相结合,是研究感知决策背后的电路机制和动力学,特别是在更复杂行为背景下的宝贵工具。