Decision Making: From Neuroscience to Psychiatry

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Decision Making: From Neuroscience to Psychiatry Daeyeol Lee  Neuron  Volume 78, Issue 2, Pages 233-248 (April 2013) DOI: 10.1016/j.neuron.2013.04.008 Copyright © 2013 Elsevier Inc. Terms and Conditions

Figure 1 Models of Decision Making (A) Utility functions with different types of risk preference. (B) Value functions in prospect theory. Solid (dotted) line shows the value function with (without) loss aversion. (C) Exponential versus hyperbolic temporal discount functions. (D) Weights assigned to the previous outcomes at different time lags according to two different learning rates (α) in a model-free reinforcement learning algorithm. Neuron 2013 78, 233-248DOI: (10.1016/j.neuron.2013.04.008) Copyright © 2013 Elsevier Inc. Terms and Conditions

Figure 2 Ubiquitous Reward Signals in the Brain Brain areas encoding reward signals during a matching pennies task that was identified with a multivoxel pattern analysis (Vickery et al., 2011). Neuron 2013 78, 233-248DOI: (10.1016/j.neuron.2013.04.008) Copyright © 2013 Elsevier Inc. Terms and Conditions

Figure 3 Hypothetical Outcome Signals in the Orbitofrontal Cortex (A) Visual stimuli displayed during the choice and feedback epochs of a rock-paper-scissors task used in Abe and Lee (2011). Different colors for feedback stimuli were associated with different amounts of juice reward. (B) Payoff matrix (left) and changes in choice probabilities (right) during the same task (R, rock; P, paper; S, scissors). Dotted lines correspond to the Nash-equilibrium strategy (0.5 for rock and 0.25 for paper and scissors, respectively). (C) Activity of a neuron in the orbitofrontal cortex that encoded the hypothetical outcomes from unchosen actions. Spike density functions are plotted separately according to the position (columns) and payoffs (line colors) of the winning target and the position of the target chosen by the animal (rows). Neuron 2013 78, 233-248DOI: (10.1016/j.neuron.2013.04.008) Copyright © 2013 Elsevier Inc. Terms and Conditions

Figure 4 Functions and Dysfunctions of the Default Network (A–C) Cortical areas activated by the recall of autobiographical memory (A), episodic future thinking (B), and mental simulation of other people’s perspective (C). Reproduced from Buckner et al. (2008). (D) Deactivation in the default network (blue, top) is absent in the brains of autistic individuals (black outlines, bottom; Kennedy et al., 2006). Neuron 2013 78, 233-248DOI: (10.1016/j.neuron.2013.04.008) Copyright © 2013 Elsevier Inc. Terms and Conditions