Interpreting Patterns of Brain Activation in Human Fear Conditioning With an Attentional-Associative Learning Model.
J. E. Dunsmoor, P. A. Bandettini, and D. C. Knight (2007) conducted a neuroimaging study of human fear conditioning and analyzed brain activity under various pairing rates between a conditioned and an unconditioned stimulus. Computer simulations with an attenlional-associative model introduced by N....
| Publicado en: | Behavioral Neuroscience Vol. 123; no. 4; pp. 851 - 856 |
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| Autores principales: | , |
| Formato: | Artículo |
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American Psychological Association
August 2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=506914000&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 506914000 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07357044 BEN jtl: Behavioral Neuroscience issn: 07357044 maglogo: N pubinfo: dt: August 2009 vid: 123 iid: 4 pid: 34 pub: American Psychological Association artinfo: ui: 506914000 10.1037/a0016334 ppf: 851 ppct: 5 formats: tig: atl: Interpreting Patterns of Brain Activation in Human Fear Conditioning With an Attentional-Associative Learning Model. aug: au: Dunsmoor, Joseph Schmajuk, Nestor su: Electroencephalography Fear Emotional conditioning Brain function localization sug: subj: Electroencephalography Fear Emotional conditioning Brain function localization ab: J. E. Dunsmoor, P. A. Bandettini, and D. C. Knight (2007) conducted a neuroimaging study of human fear conditioning and analyzed brain activity under various pairing rates between a conditioned and an unconditioned stimulus. Computer simulations with an attenlional-associative model introduced by N. A. Schmajuk, Y. W. Lam, and J. A. Gray (1996) show that activity in the amygdala and anterior cingulate cortex is well described by a variable representing the prediction of the unconditioned stimulus, whereas activity in the dorsolateral prefrontal cortex and insula is well captured by a variable coding the attentional-modulated representation of conditioned stimuli. In addition, the model explains how those variables control behavior and provides a clear framework in which those variables play important roles in the description of numerous classical conditioning paradigms. Also, the model offers a number of predictions related to stimulus novelty for future neuroimaging studies of associative learning. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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