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Decision Neurobiology

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6 papers 25 to 100 followers
By Abraham Nunes Psychiatry resident interested in computational neuroscience, forensic psychiatry, and neuropsychiatry.
Guillaume Viejo, Mehdi Khamassi, Andrea Brovelli, BenoƮt Girard
Current learning theory provides a comprehensive description of how humans and other animals learn, and places behavioral flexibility and automaticity at heart of adaptive behaviors. However, the computations supporting the interactions between goal-directed and habitual decision-making systems are still poorly understood. Previous functional magnetic resonance imaging (fMRI) results suggest that the brain hosts complementary computations that may differentially support goal-directed and habitual processes in the form of a dynamical interplay rather than a serial recruitment of strategies...
2015: Frontiers in Behavioral Neuroscience
Praneeth Namburi, Anna Beyeler, Suzuko Yorozu, Gwendolyn G Calhoon, Sarah A Halbert, Romy Wichmann, Stephanie S Holden, Kim L Mertens, Melodi Anahtar, Ada C Felix-Ortiz, Ian R Wickersham, Jesse M Gray, Kay M Tye
The ability to differentiate stimuli predicting positive or negative outcomes is critical for survival, and perturbations of emotional processing underlie many psychiatric disease states. Synaptic plasticity in the basolateral amygdala complex (BLA) mediates the acquisition of associative memories, both positive and negative. Different populations of BLA neurons may encode fearful or rewarding associations, but the identifying features of these populations and the synaptic mechanisms of differentiating positive and negative emotional valence have remained unknown...
April 30, 2015: Nature
Gregory R Samanez-Larkin, Brian Knutson
As the global population ages, older decision makers will be required to take greater responsibility for their own physical, psychological and financial well-being. With this in mind, researchers have begun to examine the effects of ageing on decision making and associated neural circuits. A new 'affect-integration-motivation' (AIM) framework may help to clarify how affective and motivational circuits support decision making. Recent research has shed light on whether and how ageing influences these circuits, providing an interdisciplinary account of how ageing can alter decision making...
May 2015: Nature Reviews. Neuroscience
Laurie R Santos, Alexandra G Rosati
Humans exhibit a suite of biases when making economic decisions. We review recent research on the origins of human decision making by examining whether similar choice biases are seen in nonhuman primates, our closest phylogenetic relatives. We propose that comparative studies can provide insight into four major questions about the nature of human choice biases that cannot be addressed by studies of our species alone. First, research with other primates can address the evolution of human choice biases and identify shared versus human-unique tendencies in decision making...
January 3, 2015: Annual Review of Psychology
Daniel M Oppenheimer, Evan Kelso
For decades, the dominant paradigm for studying decision making--the expected utility framework--has been burdened by an increasing number of empirical findings that question its validity as a model of human cognition and behavior. However, as Kuhn (1962) argued in his seminal discussion of paradigm shifts, an old paradigm cannot be abandoned until a new paradigm emerges to replace it. In this article, we argue that the recent shift in researcher attention toward basic cognitive processes that give rise to decision phenomena constitutes the beginning of that replacement paradigm...
January 3, 2015: Annual Review of Psychology
Wei Ji Ma, Mehrdad Jazayeri
Organisms must act in the face of sensory, motor, and reward uncertainty stemming from a pandemonium of stochasticity and missing information. In many tasks, organisms can make better decisions if they have at their disposal a representation of the uncertainty associated with task-relevant variables. We formalize this problem using Bayesian decision theory and review recent behavioral and neural evidence that the brain may use knowledge of uncertainty, confidence, and probability.
2014: Annual Review of Neuroscience
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