为地方-网格耦合动力学留出空间

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
J. Fernandez-Leon, Luca Sarramone
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引用次数: 0

摘要

在 "空间调制连续吸引子网络"(SCAN)模型下,有学者提出了精辟的理论论述,认为在运动过程中不需要向网格细胞传递速度信号的直接感觉输入,而且任何位置细胞的活动似乎都不构成网格细胞的总和。该模型不太注重解释作为空间和时间编码基本组成部分的位置细胞和网格细胞之间的动态关系。然而,这篇评论强调,位置-网格耦合动态可能代表了保持空间编码信息一致性的核心机制。在 SCAN 中,网格细胞和地点细胞之间的耦合模式似乎很弱,但它是不可还原的,对认知绘图至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Making Room for the Place-Grid Coupled Dynamics
Under the “spatial modulation continuous attractor network” (SCAN) model, insightful theoretical discussions have been proposed arguing that no direct sensory input signaling velocity to grid cells is required during locomotion, and no place cell activity seems to constitute a summation of grid cells. The model focuses less on explaining the dynamic relationship between place and grid cells as a fundamental component for coding space and time. This commentary highlights, however, that the place-grid coupled dynamics could represent the core mechanism that keeps coherent spatial coded information. This coupling mode between grid- and place-cells seems weak in SCAN, but it is irreducible and crucial for cognitive mapping.
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来源期刊
Adaptive Behavior
Adaptive Behavior 工程技术-计算机:人工智能
CiteScore
4.30
自引率
18.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: _Adaptive Behavior_ publishes articles on adaptive behaviour in living organisms and autonomous artificial systems. The official journal of the _International Society of Adaptive Behavior_, _Adaptive Behavior_, addresses topics such as perception and motor control, embodied cognition, learning and evolution, neural mechanisms, artificial intelligence, behavioral sequences, motivation and emotion, characterization of environments, decision making, collective and social behavior, navigation, foraging, communication and signalling. Print ISSN: 1059-7123
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