Pattern classification predicts individuals’ responses to affective stimuli

Kenneth Yuen; Stephen Johnston; Federico Martino; Bettina Sorger; Elia Formisano; David Linden; Rainer Goebel

doi:10.2478/s13380-012-0029-6

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Pattern classification predicts individuals’ responses to affective stimuli

Kenneth Yuen , Stephen Johnston , Federico Martino , Bettina Sorger , Elia Formisano , David Linden and Rainer Goebel

Published/Copyright: August 28, 2012

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From the journal Translational Neuroscience Volume 3 Issue 3

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MLA
APA
Harvard
Chicago
Vancouver

Yuen, Kenneth, Johnston, Stephen, Martino, Federico, Sorger, Bettina, Formisano, Elia, Linden, David and Goebel, Rainer. "Pattern classification predicts individuals’ responses to affective stimuli" Translational Neuroscience, vol. 3, no. 3, 2012, pp. 278-287. https://doi.org/10.2478/s13380-012-0029-6

Yuen, K., Johnston, S., Martino, F., Sorger, B., Formisano, E., Linden, D. & Goebel, R. (2012). Pattern classification predicts individuals’ responses to affective stimuli. Translational Neuroscience, 3(3), 278-287. https://doi.org/10.2478/s13380-012-0029-6

Yuen, K., Johnston, S., Martino, F., Sorger, B., Formisano, E., Linden, D. and Goebel, R. (2012) Pattern classification predicts individuals’ responses to affective stimuli. Translational Neuroscience, Vol. 3 (Issue 3), pp. 278-287. https://doi.org/10.2478/s13380-012-0029-6

Yuen, Kenneth, Johnston, Stephen, Martino, Federico, Sorger, Bettina, Formisano, Elia, Linden, David and Goebel, Rainer. "Pattern classification predicts individuals’ responses to affective stimuli" Translational Neuroscience 3, no. 3 (2012): 278-287. https://doi.org/10.2478/s13380-012-0029-6

Yuen K, Johnston S, Martino F, Sorger B, Formisano E, Linden D, Goebel R. Pattern classification predicts individuals’ responses to affective stimuli. Translational Neuroscience. 2012;3(3): 278-287. https://doi.org/10.2478/s13380-012-0029-6

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Published Online: 2012-8-28

Published in Print: 2012-9-1

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https://doi.org/10.2478/s13380-012-0029-6

Keywords for this article

Pattern classification; Multivoxel pattern classification (MVPA); Machine learning; Emotion; Affective processing; fMRI

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Articles in the same Issue

Soluble forms of tau are toxic in Alzheimer’s disease
Neuroprotection by dietary restriction and the PPAR transcription complex
Expression analysis of pluripotency-associated genes in human fetal cortical and striatal neural stem cells during differentiation
α-synuclein regulation of dopamine transporter
Rodent models of early environment effects on offspring development and susceptibility to neurological diseases in adulthood
Tumour necrosis factor - alpha mediated mechanisms of cognitive dysfunction
Pattern classification predicts individuals’ responses to affective stimuli
Osteopontin: A key link between immunity, inflammation and the central nervous system
Roles of σ1 receptors in the mechanisms of action of CNS drugs
Translational strategies to schizophrenia from a proteomic perspective
Ischemic stroke appearing as a tumor
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