通过自然和人工体现认知系统推进机械解释。

IF 2 4区医学 Q3 NEUROSCIENCES

Cognitive Neuroscience Pub Date : 2024-07-01 Epub Date: 2024-09-30 DOI:10.1080/17588928.2024.2403348

Fernando Marmolejo-Ramos, Julian Tejada, Alejandra Ciria, Francisco Cruz, Juan F Cardona

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引用次数: 0

摘要

穆根诺和马西森提出，机械模型可以通过描述大脑、身体和环境各组成部分作为一个综合系统之间的复杂互动来解释行为，这与具身认知不谋而合。不过，我们建议纳入认知本体论，并解决退化和神经元重复使用问题。我们还建议通过人工系统研究自然的具身认知，以建立一个全面的机制框架。

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Advancing mechanistic explanations through natural and artificial embodied cognitive systems.

Mougenot and Matheson propose that mechanistic models can explain behavior by describing the complex interactions among components of the brain, body, and environment as an integrated system, which aligns with embodied cognition. However, we suggest incorporating cognitive ontology theory and addressing degeneracy and neuronal reuse. We also recommend studying natural embodied cognition through artificial systems to develop a comprehensive mechanistic framework.

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来源期刊

Cognitive Neuroscience NEUROSCIENCES-

CiteScore

3.60

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Cognitive Neuroscience publishes high quality discussion papers and empirical papers on any topic in the field of cognitive neuroscience including perception, attention, memory, language, action, social cognition, and executive function. The journal covers findings based on a variety of techniques such as fMRI, ERPs, MEG, TMS, and focal lesion studies. Contributions that employ or discuss multiple techniques to shed light on the spatial-temporal brain mechanisms underlying a cognitive process are encouraged.