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背侧视觉系统预测未来并记住过去的眼位。

The Dorsal Visual System Predicts Future and Remembers Past Eye Position.

作者信息

Morris Adam P, Bremmer Frank, Krekelberg Bart

机构信息

Neuroscience Program, Department of Physiology, Biomedicine Discovery Institute, Monash University Clayton, VIC, Australia.

Department of Neurophysics, Philipps-Universität Marburg Marburg, Germany.

出版信息

Front Syst Neurosci. 2016 Feb 24;10:9. doi: 10.3389/fnsys.2016.00009. eCollection 2016.

Abstract

Eye movements are essential to primate vision but introduce potentially disruptive displacements of the retinal image. To maintain stable vision, the brain is thought to rely on neurons that carry both visual signals and information about the current direction of gaze in their firing rates. We have shown previously that these neurons provide an accurate representation of eye position during fixation, but whether they are updated fast enough during saccadic eye movements to support real-time vision remains controversial. Here we show that not only do these neurons carry a fast and accurate eye-position signal, but also that they support in parallel a range of time-lagged variants, including predictive and post dictive signals. We recorded extracellular activity in four areas of the macaque dorsal visual cortex during a saccade task, including the lateral and ventral intraparietal areas (LIP, VIP), and the middle temporal (MT) and medial superior temporal (MST) areas. As reported previously, neurons showed tonic eye-position-related activity during fixation. In addition, they showed a variety of transient changes in activity around the time of saccades, including relative suppression, enhancement, and pre-saccadic bursts for one saccade direction over another. We show that a hypothetical neuron that pools this rich population activity through a weighted sum can produce an output that mimics the true spatiotemporal dynamics of the eye. Further, with different pooling weights, this downstream eye position signal (EPS) could be updated long before (<100 ms) or after (<200 ms) an eye movement. The results suggest a flexible coding scheme in which downstream computations have access to past, current, and future eye positions simultaneously, providing a basis for visual stability and delay-free visually-guided behavior.

摘要

眼球运动对灵长类动物的视觉至关重要,但会导致视网膜图像产生潜在的干扰性位移。为了维持稳定的视觉,大脑被认为依赖于那些在放电频率中同时携带视觉信号和当前注视方向信息的神经元。我们之前已经表明,这些神经元在注视过程中能准确表征眼睛位置,但它们在眼球快速运动期间是否能快速更新以支持实时视觉仍存在争议。在这里,我们表明这些神经元不仅携带快速且准确的眼睛位置信号,而且还并行支持一系列时间滞后的变体,包括预测性和后预测性信号。我们在一项快速扫视任务中记录了猕猴背侧视觉皮层四个区域的细胞外活动,包括外侧和腹侧顶内区域(LIP、VIP)以及颞中区(MT)和颞上内侧区(MST)。如先前报道的那样,神经元在注视期间表现出与眼睛位置相关的持续性活动。此外,它们在快速扫视前后还表现出各种活动的瞬态变化,包括相对抑制、增强以及针对一个扫视方向相对于另一个扫视方向的扫视前爆发。我们表明,一个通过加权求和汇总这种丰富群体活动的假设神经元可以产生一个模仿眼睛真实时空动态的输出。此外,通过不同的汇总权重,这个下游眼睛位置信号(EPS)可以在眼球运动之前很久(<100毫秒)或之后(<200毫秒)更新。结果表明存在一种灵活编码方案,其中下游计算可以同时获取过去、当前和未来的眼睛位置,为视觉稳定性和无延迟视觉引导行为提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de2c/4764714/94a127d763b2/fnsys-10-00009-g0001.jpg

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