从神经成像信号中检测欺骗——一种数据驱动的视角。 - Suppr

Suppr

超能文献

Detecting deception from neuroimaging signals--a data-driven perspective.

作者信息

Haynes John-Dylan

出版信息

Trends Cogn Sci. 2008 Apr;12(4):126-7; author reply 127-8. doi: 10.1016/j.tics.2008.01.003. Epub 2008 Mar 4.

DOI:10.1016/j.tics.2008.01.003

PMID:18308617

Abstract

摘要

相似文献

Detecting deception from neuroimaging signals--a data-driven perspective.

Trends Cogn Sci. 2008 Apr;12(4):126-7; author reply 127-8. doi: 10.1016/j.tics.2008.01.003. Epub 2008 Mar 4.

Classifying spatial patterns of brain activity with machine learning methods: application to lie detection.

Neuroimage. 2005 Nov 15;28(3):663-8. doi: 10.1016/j.neuroimage.2005.08.009. Epub 2005 Oct 5.

A replication study of the neural correlates of deception.

Behav Neurosci. 2004 Aug;118(4):852-6. doi: 10.1037/0735-7044.118.4.852.

[Technical development of detecting deception].

Fa Yi Xue Za Zhi. 2007 Feb 15;23(1):52-6.

The production and detection of deception in an interactive game.

Neuropsychologia. 2010 Oct;48(12):3619-26. doi: 10.1016/j.neuropsychologia.2010.08.013. Epub 2010 Aug 19.

Cognitive conjunction and cognitive functions.

Neuroimage. 2004 Feb;21(2):751-6. doi: 10.1016/j.neuroimage.2003.09.061.

Detecting concealed information using brain-imaging technology.

Neurocase. 2008;14(1):82-92. doi: 10.1080/13554790801992784.

Detection of deception using fMRI: better than chance, but well below perfection.

Soc Neurosci. 2009;4(6):528-38. doi: 10.1080/17470910801903530.

The neural circuitry of a broken promise.

Neuron. 2009 Dec 10;64(5):756-70. doi: 10.1016/j.neuron.2009.11.017.

An introduction to anatomical ROI-based fMRI classification analysis.

Brain Res. 2009 Jul 28;1282:114-25. doi: 10.1016/j.brainres.2009.05.090. Epub 2009 Jun 6.

引用本文的文献

Distinguishing deception from its confounds by improving the validity of fMRI-based neural prediction.

Proc Natl Acad Sci U S A. 2024 Dec 10;121(50):e2412881121. doi: 10.1073/pnas.2412881121. Epub 2024 Dec 6.

Cognitive neuroscience of honesty and deception: A signaling framework.

Curr Opin Behav Sci. 2016 Oct;11:130-137. doi: 10.1016/j.cobeha.2016.09.005.

Prospects of functional magnetic resonance imaging as lie detector.

Front Hum Neurosci. 2013 Sep 24;7:594. doi: 10.3389/fnhum.2013.00594.

[Lie detection and mind reading: is there a use for fMRI?: A critical survey and reflection].

Nervenarzt. 2010 Sep;81(9):1085-91. doi: 10.1007/s00115-009-2921-z.

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型，支持多种主流文档格式。

立即体验

相似文献

Detecting deception from neuroimaging signals--a data-driven perspective.

Trends Cogn Sci. 2008 Apr;12(4):126-7; author reply 127-8. doi: 10.1016/j.tics.2008.01.003. Epub 2008 Mar 4.

Classifying spatial patterns of brain activity with machine learning methods: application to lie detection.

Neuroimage. 2005 Nov 15;28(3):663-8. doi: 10.1016/j.neuroimage.2005.08.009. Epub 2005 Oct 5.

A replication study of the neural correlates of deception.

Behav Neurosci. 2004 Aug;118(4):852-6. doi: 10.1037/0735-7044.118.4.852.

[Technical development of detecting deception].

Fa Yi Xue Za Zhi. 2007 Feb 15;23(1):52-6.

The production and detection of deception in an interactive game.

Neuropsychologia. 2010 Oct;48(12):3619-26. doi: 10.1016/j.neuropsychologia.2010.08.013. Epub 2010 Aug 19.

Cognitive conjunction and cognitive functions.

Neuroimage. 2004 Feb;21(2):751-6. doi: 10.1016/j.neuroimage.2003.09.061.

Detecting concealed information using brain-imaging technology.

Neurocase. 2008;14(1):82-92. doi: 10.1080/13554790801992784.

Detection of deception using fMRI: better than chance, but well below perfection.

Soc Neurosci. 2009;4(6):528-38. doi: 10.1080/17470910801903530.

The neural circuitry of a broken promise.

Neuron. 2009 Dec 10;64(5):756-70. doi: 10.1016/j.neuron.2009.11.017.

An introduction to anatomical ROI-based fMRI classification analysis.

Brain Res. 2009 Jul 28;1282:114-25. doi: 10.1016/j.brainres.2009.05.090. Epub 2009 Jun 6.

引用本文的文献

Distinguishing deception from its confounds by improving the validity of fMRI-based neural prediction.

Proc Natl Acad Sci U S A. 2024 Dec 10;121(50):e2412881121. doi: 10.1073/pnas.2412881121. Epub 2024 Dec 6.

Cognitive neuroscience of honesty and deception: A signaling framework.

Curr Opin Behav Sci. 2016 Oct;11:130-137. doi: 10.1016/j.cobeha.2016.09.005.

Prospects of functional magnetic resonance imaging as lie detector.

Front Hum Neurosci. 2013 Sep 24;7:594. doi: 10.3389/fnhum.2013.00594.

[Lie detection and mind reading: is there a use for fMRI?: A critical survey and reflection].

Nervenarzt. 2010 Sep;81(9):1085-91. doi: 10.1007/s00115-009-2921-z.