A neural network model for exogenous perceptual alternations of the Necker cube
A neural network model for exogenous perceptual alternations of the Necker cube
复制标题
内克尔立方体外源感知变化的神经网络模型
DOI：
10.1007/s11571-019-09565-6
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发表时间：
2019
影响因子：
3.7
通讯作者：
Urakawa Tomokazu
中科院分区：
文献类型：
--
作者：
Araki Osamu;Tsuruoka Yuki;Urakawa Tomokazu
当连续观察双稳视觉图像时，例如Necker立方体，图像的感知在一种可能的感知和另一种可能的感知之间内生地交替。然而，知觉的改变也可以由外源性的干扰引起。例如，一个典型的外部干扰是手电筒，预计它会普遍激活大脑的许多区域。因此，与外源性知觉交替相关的神经机制仍有待阐明。作为解决这一问题的线索，我们最近的心理生理学实验报告了视觉刺激顺序规则的中断引起的视觉失配负性的增强与知觉交替的比例呈正相关。为了阐明视觉失配负性引起外源性知觉交替的机制，本研究试图构建Necker立方体双稳态知觉的神经网络模型，视觉失配负性的增加促进了Necker立方体的知觉交替。该模型由预测层和预测误差层组成，遵循变化检测过程和感知交替机制之间生物学上可信的关系的预测编码框架。计算机模拟表明，感知的平均持续时间随着反应的增加而减少，这与实验数据是一致的。这一结果表明兴奋性前馈和抑制性反馈联系起着重要作用。此外，该模型的有效性表明，视觉失配信号在神经系统中传播，并作为预测误差信号影响视觉感知机制。
When a bistable visual image, such as the Necker cube, is continuously viewed, the percept of the image endogenously alternates between one possible percept and the other. However, perceptual alternation can also be induced by an exogenous perturbation. For example, a typical external perturbation is the flashlight, which is expected to pervasively activate many brain regions. Therefore, the neural mechanism related to exogenous perceptual alternation remains to be clarified. As a cue to solving this problem, our recent psychophysiological experiment reported a positive correlation between the enhancement of visual mismatch negativity evoked by breaks in the sequential regularity of the visual stimuli and the proportion of perceptual alternation. To elucidate the mechanism underlying exogenous perceptual alternation induced by visual mismatch negativity, the present study attempted to construct a neural network model for bistable perception of the Necker cube, whose perceptual alternation is facilitated by an increase in visual mismatch negativity. The model consists of both a prediction layer and a prediction error layer, following the predictive coding framework for biologically plausible relationships between the change detection process and the perceptual alternation mechanism. Computer simulations showed that the mean duration of perception decreased as the response increased, which is in concordance with the experimental data. This result suggested that the excitatory feedforward and inhibitory feedback connections play an important role. Additionally, the validity of this model suggests that the visual mismatch signal propagates in the neural systems and affects the visual perceptual mechanism as a prediction error signal.
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作者：
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