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Critical Brain Hypotheses on the Emergence of Cognitive Functions in Simple Circuits for Backward Time Perception

机译:批判性脑假说对简单电路中的认知功能出现的后退时间知觉。

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To reveal the cognitive mechanisms is one of challenging problems in various fields of science, such as neuroscience, cognitive science, and artificial intelligence. Focusing on the cognitive mechanisms of time-series events, we present an analysis on the backward time perception with the flash-lag illusion. In the flash-lag experiment, we experience the visual illusion that a stationary flashed object is perceived to lag behind a spatially aligned moving object. When this moving object changes the direction of motion, the time reversing recognition called postdiction is observed. In other words, the postdiction is a phenomenon that the future stimulus affects the present one backward in time. Although several models have been presented to explain this illusion, the neural basis is not clear. Here we propose the assumption that the simple dual-path process in the critical states can provide the backward time perception and other important features of the visual illusion related to the flash-lag experiment. The dual-path process consists of two pathways: a fast-processing pathway and a slow-processing pathway. The backward time perception can occur as a result of the integration of the information from these two pathways. We implemented the dual-path process in the critical state using a simple lattice model and succeeded in the reproduction of the postdictive property and other features of visual illusions related to the flash-lag effect. According to the criticality hypothesis proposed by Beggs, the brain operates in the critical state. If the critical state accelerates the fast pathway and decelerates the slow pathway, simple circuits can provide the complicated cognitive functions. The concept that simple systems can realize advanced functions utilizing the critical states will contribute to the discovery of the fundamental principles of neural mechanisms and the improvement of cognitive functions of artificial intelligence.
机译:揭示认知机制是神经科学,认知科学和人工智能等各个科学领域中具有挑战性的问题之一。着眼于时间序列事件的认知机制,我们提出了一种具有闪光滞后错觉的后向时间知觉分析。在闪光滞后实验中,我们体验到视觉上的幻觉,即静止的闪光对象被感知为落后于空间对齐的移动对象。当该运动物体改变运动方向时,会观察到称为倒推的时间倒转识别。换句话说,预测是一种未来刺激会在时间上向后影响当前刺激的现象。尽管已经提出了几种模型来解释这种错觉,但神经基础尚不清楚。在这里,我们提出一个假设,即在临界状态下的简单双路径过程可以提供向后的时间感知以及与闪光滞后实验有关的视觉错觉的其他重要特征。双路径过程包括两个路径:快速处理路径和慢速处理路径。由于来自这两个途径的信息的整合,可能会发生向后的时间感知。我们使用简单的晶格模型在临界状态下实现了双路径过程,并成功地再现了预测特性和与闪光滞后效应相关的视觉幻觉的其他特征。根据贝格斯提出的关键性假设,大脑在关键状态下运行。如果临界状态加速了快速路径而使慢速路径减速,则简单的电路可以提供复杂的认知功能。简单系统可以利用临界状态实现高级功能的概念将有助于发现神经机制的基本原理并改善人工智能的认知功能。

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