Feature selectivity can explain mismatch signals in mouse visual cortex.
Feature selectivity can explain mismatch signals in mouse visual cortex.
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DOI：
10.1016/j.celrep.2021.109772
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发表时间：
2021-10-05
期刊：
影响因子：
8.8
通讯作者：
Saleem AB
中科院分区：
文献类型：
--
作者：
Muzzu T;Saleem AB
感官体验往往取决于一个人自己的行动，包括自我运动。预测编码理论假设行为是通过计算预测误差来调节的，预测误差是感官体验和基于自我生成行为的期望之间的差异。当与跑步相关的视觉流意外停止时，在小鼠视觉皮层（V1）中报告了与预测错误一致的信号。在这里，我们表明，这样的信号可以引起视觉刺激解耦的动物运行。我们记录V1神经元，同时呈现意外停止的漂移光栅。我们发现强烈的视觉扰动，这是增强运行过程中的反应。扰动反应在个体神经元的首选方向上最强，并且扰动反应神经元更可能喜欢缓慢的视觉速度。我们的研究结果表明，预测误差信号可以解释为已知的运动和感觉信号的收敛，提供了一个纯粹的感觉和运动的解释声称不匹配的信号。小鼠初级视皮层神经元对视觉流扰动的反应通过跑步增强扰动反应在神经元的首选方向上更强扰动反应神经元被调整为缓慢的视觉速度Muzzu和Saleem发现小鼠视觉皮层中的神经元对开环视觉流的停止或扰动做出反应。扰动反应通过跑步增强，反应神经元更喜欢低视觉速度。这些结果表明，低视觉速度和跑步的同时选择性可以解释视觉皮层中的感觉运动失配信号。
Sensory experience often depends on one’s own actions, including self-motion. Theories of predictive coding postulate that actions are regulated by calculating prediction error, which is the difference between sensory experience and expectation based on self-generated actions. Signals consistent with prediction error have been reported in the mouse visual cortex (V1) when visual flow coupled to running was unexpectedly stopped. Here, we show that such signals can be elicited by visual stimuli uncoupled to an animal running. We record V1 neurons while presenting drifting gratings that unexpectedly stop. We find strong responses to visual perturbations, which are enhanced during running. Perturbation responses are strongest in the preferred orientation of individual neurons, and perturbation-responsive neurons are more likely to prefer slow visual speeds. Our results indicate that prediction error signals can be explained by the convergence of known motor and sensory signals, providing a purely sensory and motor explanation for purported mismatch signals. Mouse primary visual cortex neurons respond to perturbations of visual flow Perturbation responses are enhanced by running Perturbation responses are stronger in the preferred orientation of the neurons Perturbation-responsive neurons are tuned to slow visual speeds Muzzu and Saleem find neurons in the mouse visual cortex responding to stops or perturbations of open-loop visual flow. Perturbation responses are enhanced by running, and responsive neurons prefer low visual speeds. These results suggest concurrent selectivity for low visual speeds and running can explain sensorimotor mismatch signals in the visual cortex.
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