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  1. Adam R. Aron, Trevor W. Robbins & Russell A. Poldrack (forthcoming). Inhibition and the Right Inferior Frontal Cortex: One Decade On. Trends in Cognitive Sciences.
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  2. Nicholas J. Malecek & Russell A. Poldrack (2013). Beyond Dopamine: The Noradrenergic System and Mental Effort. Behavioral and Brain Sciences 36 (6):698-699.
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  3. Eliza Congdon, Jeanette A. Mumford, Jessica R. Cohen, Adriana Galvan, Turhan Canli & Russell A. Poldrack (2012). Measurement and Reliability of Response Inhibition. Frontiers in Psychology 3.
    Response inhibition plays a critical role in adaptive functioning and can be assessed with the Stop-signal task, which requires participants to suppress prepotent motor responses. Evidence suggests that this ability to inhibit a motor response that has already been initiated (reflected as Stop-signal reaction time (SSRT)) is a quantitative and heritable measure of interindividual variation in brain function. In order to examine the reliability of this measure, we pooled data across three separate studies and examined the influence of multiple SSRT (...)
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  4. Tom Schonberg, Craig R. Fox & Russell A. Poldrack (2011). Mind the Gap: Bridging Economic and Naturalistic Risk-Taking with Cognitive Neuroscience. Trends in Cognitive Sciences 15 (1):11.
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  5. Jessica R. Cohen, Robert F. Asarnow, Fred W. Sabb, Robert M. Bilder, Susan Y. Bookheimer, Barbara J. Knowlton & Russell A. Poldrack (2010). Decoding Developmental Differences and Individual Variability in Response Inhibition Through Predictive Analyses Across Individuals. Frontiers in Human Neuroscience 4.
    Response inhibition is thought to improve throughout childhood and into adulthood. Despite the relationship between age and the ability to stop ongoing behavior, questions remain regarding whether these age-related changes reflect improvements in response inhibition or in other factors that contribute to response performance variability. Functional neuroimaging data shows age-related changes in neural activity during response inhibition. While traditional methods of exploring neuroimaging data are limited to determining correlational relationships, newer methods can determine predictability and can begin to answer these (...)
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  6. Agatha Lenartowicz, Donald J. Kalar, Eliza Congdon & Russell A. Poldrack (2010). Towards an Ontology of Cognitive Control. Topics in Cognitive Science 2 (4):678-692.
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  7. Tal Yarkoni, Russell A. Poldrack, David C. Van Essen & Tor D. Wager (2010). Cognitive Neuroscience 2.0: Building a Cumulative Science of Human Brain Function. Trends in Cognitive Sciences 14 (11):489-496.
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  8. Rajeev D. S. Raizada & Russell A. Poldrack (2007). Challenge-Driven Attention: Interacting Frontal and Brainstem Systems. Frontiers in Human Neuroscience 2.
    The world is an unpredictable place, presenting challenges that fl uctuate from moment to moment. However, the neural systems for responding to such challenges are far from fully understood. Using fMRI, we studied an audiovisual task in which the trials' diffi culty and onset times varied unpredictably. Two regions were found to increase their activation for challenging trials, with their activities strongly correlated: right frontal cortex and the brainstem. The frontal area matched regions found in previous human studies of cognitive (...)
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  9. Russell A. Poldrack (2006). Bayes' Theorem. Trends in Cognitive Sciences 10 (2):59-63.
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  10. Russell A. Poldrack (2006). Can Cognitive Processes Be Inferred From Neuroimaging Data? Trends in Cognitive Sciences 10 (2):59-63.
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