Perceptual decision related activity in the lateral geniculate nucleus
Perceptual decision related activity in the lateral geniculate nucleus
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DOI：
10.1152/jn.00068.2015
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发表时间：
2015-07-01
影响因子：
2.5
通讯作者：
Casagrande, Vivien A.
中科院分区：
文献类型：
--
作者：
Jiang, Yaoguang;Yampolsky, Dmitry;Casagrande, Vivien A.
神经科学的基础是理解神经元的语言如何与行为相关。在外侧膝状体核（LGN）中，细胞显示出不同的特性，例如对特定波长的选择性，对比度的增加或减少，或对精细细节与快速运动的偏好。然而，没有研究测量当动物受到挑战，使用LGN细胞感受野内的信息做出感知决定时，LGN细胞如何反应。在这项研究中，我们测量了猕猴LGN的神经活动在两个选择，强制选择（2AFC）对比度检测任务或在被动固定任务，发现一小部分（13.5%）的单一LGN小细胞（P）和大细胞（M）神经元匹配的猴子的心理物理性能。在这两项任务中测量的大多数LGN神经元都不如猴子敏感。神经反应和行为之间的协变（量化为选择概率）是显着以上的机会，在主动检测，即使没有外部刺激。在相同条件下，神经元间的相关性和任务相关的增益调制可以忽略不计。一个自下而上的汇集模型，使用感觉神经反应来计算感知选择，在没有神经元间的相关性，可以充分解释这些结果在LGN的水平，支持这一假设，感知决策池由多个感觉神经元组成，这些神经元的反应波动可以影响感知。
Fundamental to neuroscience is the understanding of how the language of neurons relates to behavior. In the lateral geniculate nucleus (LGN), cells show distinct properties such as selectivity for particular wavelengths, increments or decrements in contrast, or preference for fine detail versus rapid motion. No studies, however, have measured how LGN cells respond when an animal is challenged to make a perceptual decision using information within the receptive fields of those LGN cells. In this study we measured neural activity in the macaque LGN during a two-alternative, forced-choice (2AFC) contrast detection task or during a passive fixation task and found that a small proportion (13.5%) of single LGN parvocellular (P) and magnocellular (M) neurons matched the psychophysical performance of the monkey. The majority of LGN neurons measured in both tasks were not as sensitive as the monkey. The covariation between neural response and behavior (quantified as choice probability) was significantly above chance during active detection, even when there was no external stimulus. Interneuronal correlations and task-related gain modulations were negligible under the same condition. A bottom- up pooling model that used sensory neural responses to compute perceptual choices in the absence of interneuronal correlations could fully explain these results at the level of the LGN, supporting the hypothesis that the perceptual decision pool consists of multiple sensory neurons and that response fluctuations in these neurons can influence perception.