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    <title>Bechara, A.</title>
    <link>http://repub.eur.nl/res/aut/14601/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
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    <item>
      <title>Decision neuroscience and consumer decision making (Article)</title>
      <link>http://repub.eur.nl/res/pub/37698/</link>
      <pubDate>2012-06-01T00:00:00Z</pubDate>
      <description>This article proposes that neuroscience can shape future theory and models in consumer decision making and suggests ways that neuroscience methods can be used in decision-making research. The article argues that neuroscience facilitates better theory development and empirical testing by considering the physiological context and the role of constructs such as hunger, stress, and social influence on consumer choice and preferences. Neuroscience can also provide new explanations for different sources of heterogeneity within and across populations, suggest novel hypotheses with respect to choices and underlying mechanisms that accord with an understanding of biology, and allow for the use of neural data to make better predictions about consumer behavior. The article suggests that despite some challenges associated with incorporating neuroscience into research on consumer decision processes, the use of neuroscience paradigms will produce a deeper understanding of decision making that can lead to the development of more effective decision aids and interventions. </description>
    </item> <item>
      <title>Towards a brain-to-society systems model of individual choice (Article)</title>
      <link>http://repub.eur.nl/res/pub/14952/</link>
      <pubDate>2009-03-01T00:00:00Z</pubDate>
      <description></description>
    </item> <item>
      <title>Towards a brain-to-society systems model of individual choice (Article)</title>
      <link>http://repub.eur.nl/res/pub/13941/</link>
      <pubDate>2008-09-30T00:00:00Z</pubDate>
      <description>Canonical models of rational choice fail to account for many forms of motivated adaptive behaviors, specifically in domains such as food selections. To describe behavior in such emotion- and reward-laden scenarios, researchers have proposed dual-process models that posit competition between a slower, analytic faculty and a fast, impulsive, emotional faculty. In this paper, we examine the assumptions and limitations of these approaches to modeling motivated choice. We argue that models of this form, though intuitively attractive, are biologically implausible. We describe an approach to motivated choice based on sequential sampling process models that can form a solid theoretical bridge between what is known about brain function and environmental influences upon choice. We further suggest that the complex and dynamic relationships between biology, behavior, and environment affecting choice at the individual level must inform aggregate models of consumer choice. Models using agent-based complex systems may further provide a principled way to relate individual and aggregate consumer choices to the aggregate choices made by businesses and social institutions. We coin the term “brain-to-society systems” choice model for this broad integrative approach.</description>
    </item> <item>
      <title>Decision Neuroscience (Article)</title>
      <link>http://repub.eur.nl/res/pub/12169/</link>
      <pubDate>2005-12-01T00:00:00Z</pubDate>
      <description>This article presents an introduction to and analysis of an emerging area of research, namely decision neuroscience, whose goal is to integrate research in neuroscience and behavioral decision making. The article includes an exposition of (1) how the exponential accumulation of knowledge in neuroscience can potentially enrich research on decision making, (2) the range of techniques in neuroscience that can be used to shed light on various decision making phenomena, (3) examples of potential research in this emerging area, and (4) some of the challenges readers need to be cognizant of while venturing into this new area of research.</description>
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