Giovanni Federico, François Osiurak, Maria A Brandimonte, Paola Marangolo, Ciro Rosario Ilardi
{"title":"技术认知的综合解释。","authors":"Giovanni Federico, François Osiurak, Maria A Brandimonte, Paola Marangolo, Ciro Rosario Ilardi","doi":"10.1080/17588928.2025.2542195","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding how the human brain generates, utilizes, and adapts to technology is one of our most urgent scientific questions today. Recent advances in cognitive neuroscience reveal a complex neurocognitive structure that underpins human interaction with technology. Here, we propose an integrated framework that considers the interplay of causal reasoning, semantic cognition, visuospatial skills, sensorimotor knowledge, and social learning in shaping our technological abilities. Drawing on neuroimaging, lesion studies, and evolutionary evidence, we identify key brain regions that act as specialized <i>processors</i> and integrative <i>hubs</i> within a distributed network supporting 'technological cognition.' We argue that different categories of technologies - mechanical versus digital - activate separate neural subsystems, reflecting their diverse cognitive demands. Ultimately, we situate technological cognition within the broader concepts of <i>embodied cognition</i> and <i>extended mind</i> theories, suggesting that technology can expand human mental capacities and actively influence the structure and functioning of the mind itself. This framework advocates for an interdisciplinary approach to deepen our understanding of how technology influences and integrates with human cognition.</p>","PeriodicalId":10413,"journal":{"name":"Cognitive Neuroscience","volume":" ","pages":"1-13"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An integrated account for technological cognition.\",\"authors\":\"Giovanni Federico, François Osiurak, Maria A Brandimonte, Paola Marangolo, Ciro Rosario Ilardi\",\"doi\":\"10.1080/17588928.2025.2542195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Understanding how the human brain generates, utilizes, and adapts to technology is one of our most urgent scientific questions today. Recent advances in cognitive neuroscience reveal a complex neurocognitive structure that underpins human interaction with technology. Here, we propose an integrated framework that considers the interplay of causal reasoning, semantic cognition, visuospatial skills, sensorimotor knowledge, and social learning in shaping our technological abilities. Drawing on neuroimaging, lesion studies, and evolutionary evidence, we identify key brain regions that act as specialized <i>processors</i> and integrative <i>hubs</i> within a distributed network supporting 'technological cognition.' We argue that different categories of technologies - mechanical versus digital - activate separate neural subsystems, reflecting their diverse cognitive demands. Ultimately, we situate technological cognition within the broader concepts of <i>embodied cognition</i> and <i>extended mind</i> theories, suggesting that technology can expand human mental capacities and actively influence the structure and functioning of the mind itself. This framework advocates for an interdisciplinary approach to deepen our understanding of how technology influences and integrates with human cognition.</p>\",\"PeriodicalId\":10413,\"journal\":{\"name\":\"Cognitive Neuroscience\",\"volume\":\" \",\"pages\":\"1-13\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/17588928.2025.2542195\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17588928.2025.2542195","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
An integrated account for technological cognition.
Understanding how the human brain generates, utilizes, and adapts to technology is one of our most urgent scientific questions today. Recent advances in cognitive neuroscience reveal a complex neurocognitive structure that underpins human interaction with technology. Here, we propose an integrated framework that considers the interplay of causal reasoning, semantic cognition, visuospatial skills, sensorimotor knowledge, and social learning in shaping our technological abilities. Drawing on neuroimaging, lesion studies, and evolutionary evidence, we identify key brain regions that act as specialized processors and integrative hubs within a distributed network supporting 'technological cognition.' We argue that different categories of technologies - mechanical versus digital - activate separate neural subsystems, reflecting their diverse cognitive demands. Ultimately, we situate technological cognition within the broader concepts of embodied cognition and extended mind theories, suggesting that technology can expand human mental capacities and actively influence the structure and functioning of the mind itself. This framework advocates for an interdisciplinary approach to deepen our understanding of how technology influences and integrates with human cognition.
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.