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自然背景对人类、猕猴和猕猴 V1 群体反应检测性能的类似掩蔽效应。

Similar masking effects of natural backgrounds on detection performances in humans, macaques, and macaque-V1 population responses.

机构信息

Center for Perceptual Systems, University of Texas, Austin, Texas.

Department of Psychology, University of Texas, Austin, Texas.

出版信息

J Neurophysiol. 2021 Jun 1;125(6):2125-2134. doi: 10.1152/jn.00275.2020. Epub 2021 Apr 28.

Abstract

Visual systems evolve to process the stimuli that arise in the organism's natural environment, and hence, to fully understand the neural computations in the visual system, it is important to measure behavioral and neural responses to natural visual stimuli. Here, we measured psychometric and neurometric functions in the macaque monkey for detection of a windowed sine-wave target in uniform backgrounds and in natural backgrounds of various contrasts. The neurometric functions were obtained by near-optimal decoding of voltage-sensitive-dye-imaging (VSDI) responses at the retinotopic scale in primary visual cortex (V1). The results were compared with previous human psychophysical measurements made under the same conditions. We found that human and macaque behavioral thresholds followed the generalized Weber's law as function of contrast, and that both the slopes and the intercepts of the threshold as a function of background contrast match each other up to a single scale factor. We also found that the neurometric thresholds followed the generalized Weber's law with slopes and intercepts matching the behavioral slopes and intercepts up to a single scale factor. We conclude that human and macaque ability to detect targets in natural backgrounds are affected in the same way by background contrast, that these effects are consistent with population decoding at the retinotopic scale by down-stream circuits, and that the macaque monkey is an appropriate animal model for gaining an understanding of the neural mechanisms in humans for detecting targets in natural backgrounds. Finally, we discuss limitations of the current study and potential next steps. We measured macaque detection performance in natural images and compared their performance to the detection sensitivity of neurophysiological responses recorded in the primary visual cortex (V1), and to the performance of human subjects. We found that ) human and macaque behavioral performances are in quantitative agreement and ) are consistent with near-optimal decoding of V1 population responses.

摘要

视觉系统是为处理生物自然环境中出现的刺激而进化的,因此,要全面了解视觉系统的神经计算,重要的是要测量对自然视觉刺激的行为和神经反应。在这里,我们测量了猕猴在均匀背景和各种对比度的自然背景下检测窗口正弦波目标的心理物理和神经测量函数。神经测量函数是通过在初级视觉皮层 (V1) 的视网膜图尺度上对电压敏感染料成像 (VSDI) 响应进行近最优解码获得的。结果与在相同条件下进行的先前人类心理物理学测量进行了比较。我们发现,人类和猕猴的行为阈值随对比度的广义韦伯定律而变化,并且阈值作为背景对比度函数的斜率和截距彼此匹配,直到单个比例因子。我们还发现,神经测量阈值遵循广义韦伯定律,其斜率和截距与行为斜率和截距匹配,直到单个比例因子。我们得出结论,人类和猕猴在自然背景中检测目标的能力受到背景对比度的相同影响,这些影响与下游电路在视网膜图尺度上的群体解码一致,并且猕猴是一种合适的动物模型,可用于了解人类在自然背景中检测目标的神经机制。最后,我们讨论了当前研究的局限性和潜在的下一步措施。我们测量了猕猴在自然图像中的检测性能,并将其与初级视觉皮层 (V1) 记录的神经生理反应的检测灵敏度以及人类受试者的性能进行了比较。我们发现,(i) 人类和猕猴的行为表现定量一致,(ii) 与 V1 群体反应的近最优解码一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edc8/8285657/470c7b0591d1/jn-00275-2020r01.jpg

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