A circuit model for transsaccadic space updating and mislocalization

IF 9.4 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Xiao Wang, Sophia J. Tsien, Min Jin, Michael E. Goldberg, Mingsha Zhang, Ning Qian
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引用次数: 0

Abstract

We perceive a stable, continuous world despite drastic changes of retinal images across saccades. However, while persistent objects in daily life appear stable across saccades, stimuli flashed around saccades can be grossly mislocalized. We address this puzzle with our recently proposed circuit model for perisaccadic receptive-field (RF) remapping in the lateral interparietal area (LIP) and frontal eye fields (FEF). The model uses center-excitation/surround-inhibition connections to store a relevant stimulus’ retinal location in memory as a population activity. This activity profile is updated across each saccade by directional connections gated by the corollary discharge (CD) of the saccade command. The updating is a continuous backward (against the saccade) shift of the population activity (equivalent to continuous forward remapping of the RFs), whose cumulative effect across the saccade is a subtraction of the saccade vector. The model that correctly updates persistent stimuli, and flashes well before and after saccades, produces the observed forward and backward translational mislocalization for flashes around the saccade onset and offset, respectively, because of insufficient and unnecessary cumulative updating after the saccade, caused by visual response latency and sluggish CD time course. We confirm the model prediction that for perisaccadic RFs measured with flashes before the saccades, the forward remapping magnitudes across the saccades are smaller for later flashes. Our work suggests that transsaccadic perception is stable because the presaccadic retinal position of an object is updated to match the postsaccadic (reafferent) retinal position of the same object, and that the brain uses “unaware” decoders which do not distinguish between different origins of neurons’ activities.
跨跳空间更新与错定位的电路模型
尽管视网膜图像在扫视过程中发生了剧烈的变化,但我们仍能感知到一个稳定、连续的世界。然而,尽管日常生活中的持久物体在扫视过程中表现稳定,但在扫视过程中闪现的刺激可能会严重错位。我们通过最近提出的外侧顶叶间区(LIP)和额叶眼野(FEF)的视周接受野(RF)重映射电路模型来解决这个难题。该模型使用中心-兴奋/周围-抑制连接将相关刺激的视网膜位置作为群体活动存储在记忆中。该活动概要文件在每个扫视期间通过由扫视命令的附带放电(CD)控制的定向连接进行更新。更新是种群活动的连续向后(针对扫视)移动(相当于RFs的连续前向重新映射),其跨扫视的累积效应是扫视向量的减法。该模型正确地更新了持续刺激,并在扫视前后良好地闪烁,但由于扫视后的累积更新不足和不必要,导致视觉反应延迟和CD时间过程缓慢,导致扫视开始前后和偏移前后的闪烁分别产生了观察到的正向和向后平移定位错误。我们证实了该模型的预测,即对于在扫视前用闪光测量的近眼动半径,在扫视后的闪光中,跨扫视的正向重映射幅度较小。我们的研究表明,跨视皮层感知是稳定的,因为一个物体的视皮层前位置被更新为与同一物体的视皮层后位置相匹配,而且大脑使用“无意识”解码器,它们不区分神经元活动的不同来源。
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来源期刊
CiteScore
19.00
自引率
0.90%
发文量
3575
审稿时长
2.5 months
期刊介绍: The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.
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