认知神经科学的新纪元：人工智能（AI）的浪潮。
A new era in cognitive neuroscience: the tidal wave of artificial intelligence (AI).
机构信息
Experimental Research Center for Medical and Psychological Science (ERC-MPS), School of Psychology, Third Military Medical University, No.30 Gao Tan-Yan Main Street, Shapingba, Chongqing, 400038, People's Republic of China.
Faculty of Psychology, Southwest University, Chongqing, People's Republic of China.
出版信息
BMC Neurosci. 2024 May 6;25(1):23. doi: 10.1186/s12868-024-00869-w.
Abstract
Translating artificial intelligence techniques into the realm of cognitive neuroscience holds promise for significant breakthroughs in our ability to probe the intrinsic mechanisms of the brain. The recent unprecedented development of robust AI models is changing how and what we understand about the brain. In this Editorial, we invite contributions for a BMC Neuroscience Collection on "AI and Cognitive Neuroscience".
摘要
将人工智能技术转化到认知神经科学领域有望使我们深入探究大脑内在机制的能力取得重大突破。最近，强大的人工智能模型取得了前所未有的发展，正在改变我们理解大脑的方式和内容。在本期社论中，我们邀请来稿参加 BMC 神经科学专辑“人工智能与认知神经科学”。
相似文献
1
A new era in cognitive neuroscience: the tidal wave of artificial intelligence (AI).认知神经科学的新纪元：人工智能（AI）的浪潮。
BMC Neurosci. 2024 May 6;25(1):23. doi: 10.1186/s12868-024-00869-w.
2
Effects of generative artificial intelligence on cognitive effort and task performance: study protocol for a randomized controlled experiment among college students.生成式人工智能对认知努力和任务表现的影响：一项针对大学生的随机对照实验的研究方案
Trials. 2025 Jul 11;26(1):244. doi: 10.1186/s13063-025-08950-3.
3
Ethical considerations for artificial intelligence in dermatology: a scoping review.人工智能在皮肤科应用的伦理考量：范围综述。
Br J Dermatol. 2024 May 17;190(6):789-797. doi: 10.1093/bjd/ljae040.
4
Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine.普通内科医学协会关于临床医生、技术专家和医疗保健组织在医学中使用生成式人工智能的建议：立场声明
J Gen Intern Med. 2025 Feb;40(3):694-702. doi: 10.1007/s11606-024-09102-0. Epub 2024 Nov 12.
5
A Scoping Review of AI/ML Algorithm Updating Practices for Model Continuity and Patient Safety Using a Simplified Checklist.使用简化清单对用于模型连续性和患者安全的人工智能/机器学习算法更新实践的范围审查
Stud Health Technol Inform. 2025 Aug 7;329:809-813. doi: 10.3233/SHTI250952.
6
The Lived Experience of Autistic Adults in Employment: A Systematic Search and Synthesis.成年自闭症患者的就业生活经历：系统检索与综述
Autism Adulthood. 2024 Dec 2;6(4):495-509. doi: 10.1089/aut.2022.0114. eCollection 2024 Dec.
7
Precision Neuro-Oncology in Glioblastoma: AI-Guided CRISPR Editing and Real-Time Multi-Omics for Genomic Brain Surgery.胶质母细胞瘤中的精准神经肿瘤学：用于基因组脑手术的人工智能引导的CRISPR编辑和实时多组学技术
Int J Mol Sci. 2025 Jul 30;26(15):7364. doi: 10.3390/ijms26157364.
9
Establishing a Health CASCADE-Curated Open-Access Database to Consolidate Knowledge About Co-Creation: Novel Artificial Intelligence-Assisted Methodology Based on Systematic Reviews.建立一个健康 CASCADE 策划的开放获取数据库，以整合关于共同创造的知识：基于系统评价的新型人工智能辅助方法。
J Med Internet Res. 2023 Jul 18;25:e45059. doi: 10.2196/45059.
10
Artificial intelligence for detecting keratoconus.人工智能在圆锥角膜检测中的应用。
Cochrane Database Syst Rev. 2023 Nov 15;11(11):CD014911. doi: 10.1002/14651858.CD014911.pub2.
引用本文的文献
1
A paper-and-pencil questionnaire outperforms GPT for measuring cognitive vulnerability to depression and predicting depressive symptoms.在测量对抑郁症的认知易感性和预测抑郁症状方面，纸质问卷比GPT表现更优。
Sci Rep. 2025 Jun 5;15(1):19782. doi: 10.1038/s41598-025-03740-y.
2
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications.人工智能与神经科学：脑研究及临床应用中的变革性协同作用
J Clin Med. 2025 Jan 16;14(2):550. doi: 10.3390/jcm14020550.
本文引用的文献
1
Learnable latent embeddings for joint behavioural and neural analysis.可学习的潜在嵌入物，用于联合行为和神经分析。
Nature. 2023 May;617(7960):360-368. doi: 10.1038/s41586-023-06031-6. Epub 2023 May 3.
2
Semantic reconstruction of continuous language from non-invasive brain recordings.从非侵入性脑记录中重建连续语言的语义。
Nat Neurosci. 2023 May;26(5):858-866. doi: 10.1038/s41593-023-01304-9. Epub 2023 May 1.
3
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.基于神经影像学的人工智能模型在精神疾病诊断中的偏倚风险评估：系统综述。
JAMA Netw Open. 2023 Mar 1;6(3):e231671. doi: 10.1001/jamanetworkopen.2023.1671.
4
Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research.驯服混乱？！利用可解释人工智能（XAI）应对心理健康研究中的复杂性。
Eur Child Adolesc Psychiatry. 2021 Aug;30(8):1143-1146. doi: 10.1007/s00787-021-01836-0.
5
Computational methods in social neuroscience: recent advances, new tools and future directions.社会神经科学中的计算方法：最新进展、新工具和未来方向。
Soc Cogn Affect Neurosci. 2021 Aug 6;16(8):739-744. doi: 10.1093/scan/nsab073.
6
A deep learning framework for neuroscience.深度学习在神经科学中的应用框架。
Nat Neurosci. 2019 Nov;22(11):1761-1770. doi: 10.1038/s41593-019-0520-2. Epub 2019 Oct 28.
7
Big Data and Artificial Intelligence Modeling for Drug Discovery.大数据和人工智能在药物发现中的建模。
Annu Rev Pharmacol Toxicol. 2020 Jan 6;60:573-589. doi: 10.1146/annurev-pharmtox-010919-023324. Epub 2019 Sep 13.
8
Using neuroscience to develop artificial intelligence.利用神经科学开发人工智能。
Science. 2019 Feb 15;363(6428):692-693. doi: 10.1126/science.aau6595.
9
Designing and Implementing an ANFIS Based Medical Decision Support System to Predict Chronic Kidney Disease Progression.设计并实现基于自适应神经模糊推理系统的医学决策支持系统以预测慢性肾病进展
Front Physiol. 2018 Dec 6;9:1753. doi: 10.3389/fphys.2018.01753. eCollection 2018.
10
Artificial Intelligence in Medicine AIME 2015.2015年医学人工智能大会（AIME 2015）
Artif Intell Med. 2017 Sep;81:1-2. doi: 10.1016/j.artmed.2017.06.011. Epub 2017 Jul 18.
Zotero 插件