视觉空间工作记忆的生物学启发计算模型：系统综述

IF 2.4 3区心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Cognitive Systems Research Pub Date : 2025-09-19 DOI:10.1016/j.cogsys.2025.101410

Viviana Dueñas, Sonia López, José-Antonio Cervantes, Gerardo Ortiz-Torres

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引用次数: 0

摘要

视觉空间工作记忆是人类探索视觉环境并与之互动的基本认知组成部分。本文对过去14年来视觉空间工作记忆的生物启发计算模型进行了系统综述。该综述确定了使用的主要生物启发和算法方法，检查了这些模型中考虑的认知功能和大脑区域，并讨论了用于评估它们的策略。此外，它概述了当前在加强这些模型的设计和实现方面面临的挑战。本综述的研究结果旨在支持和指导未来开发仿生视觉空间工作记忆计算模型的研究，以增强仿生人工智能体的认知能力。

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Biologically inspired computational models of Visuospatial Working Memory: A systematic review

Visuospatial working memory is a fundamental cognitive component that enables humans to explore and interact with their visual environment. This paper presents a systematic review of bio-inspired computational models of visuospatial working memory developed over the past 14 years. The review identifies the main bio-inspired and algorithmic approaches used, examines the cognitive functions and brain areas considered in these models, and discusses the strategies employed to evaluate them. Furthermore, it outlines the current challenges in enhancing the design and implementation of such models. The findings from this meta-review are intended to support and guide future research on developing bio-inspired computational models of visuospatial working memory to enhance the cognitive abilities of bio-inspired artificial agents.

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来源期刊

Cognitive Systems Research 工程技术-计算机：人工智能

CiteScore

9.40

自引率

5.10%

发文量

审稿时长

>12 weeks

期刊介绍： Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.