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

DG Shen, M Acharyya - Neuroimage, 2005 - Elsevier
Patterns of brain activity during deception have recently been characterized with fMRI on the
multi-subject average group level. The clinical value of fMRI in lie detection will be …
被引用次数：596 相关文章
[PDF] core.ac.uk

[PDF][PDF] Classifying spatial patterns of brain activity with machine learning methods: application to lie detection

C Davatzikos, K Ruparel, Y Fan, D Shen, M Acharyya - core.ac.uk
Patterns of brain activity during deception have recently been characterized with fMRI on the
multisubject average group level. The clinical value of fMRI in lie detection will be …
[PDF] upenn.edu

[PDF][PDF] Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

C Davatzikos, K Ruparel, Y Fan, DG Shen… - …, 2005 - cbica.upenn.edu
A large body of functional neuroimaging literature has elucidated relationships between
structure and function, as well as functional activity patterns during a variety of functional …
[PDF] academia.edu

[PDF][PDF] Classifying spatial patterns of brain activity with machine learning methods: application to lie detection

C Davatzikos, K Ruparel, Y Fan, D Shen, M Acharyya - academia.edu
A large body of functional neuroimaging literature has elucidated relationships between
structure and function, as well as functional activity patterns during a variety of functional …

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

C Davatzikos, K Ruparel, Y Fan, DG Shen… - NeuroImage, 2005 - pure.korea.ac.kr
Patterns of brain activity during deception have recently been characterized with fMRI on the
multi-subject average group level. The clinical value of fMRI in lie detection will be …

[引用][C] Classifying Spatial Patterns of Brain Activity with Machine Learning Methods: Application to Lie Detection

C DAVATZIKOS - NeuroImage, 2005 - cir.nii.ac.jp
Classifying Spatial Patterns of Brain Activity with Machine Learning Methods : Application to Lie
Detection | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …

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

C Davatzikos, K Ruparel, Y Fan, DG Shen, M Acharyya… - NeuroImage, 2005 - infona.pl
Patterns of brain activity during deception have recently been characterized with fMRI on the
multi-subject average group level. The clinical value of fMRI in lie detection will be …
[PDF] researchgate.net

[PDF][PDF] Classifying spatial patterns of brain activity with machine learning methods: application to lie detection

C Davatzikos, K Ruparel, Y Fan, D Shen, M Acharyya - researchgate.net
Patterns of brain activity during deception have recently been characterized with fMRI on the
multi-subject average group level. The clinical value of fMRI in lie detection will be …

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

C Davatzikos, K Ruparel, Y Fan, DG Shen… - …, 2005 - pure.johnshopkins.edu
Patterns of brain activity during deception have recently been characterized with fMRI on the
multi-subject average group level. The clinical value of fMRI in lie detection will be …

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

C Davatzikos, K Ruparel, Y Fan, DG Shen… - …, 2005 - researchwithrutgers.com
Patterns of brain activity during deception have recently been characterized with fMRI on the
multi-subject average group level. The clinical value of fMRI in lie detection will be …