Thaler RH, Sunstein CR (2008) Nudge: Improving Decisions about Health, Wealth, and Happiness (Yale Univ Press, New Haven, CT).
Romo R, Schultz W (1990) Dopamine neurons of the monkey midbrain: Contingencies of responses to active touch during self-initiated arm movements. J Neurophysiol 63:592–606.
Schultz W, Romo R (1990) Dopamine neurons of the monkey midbrain: Contingencies of responses to stimuli eliciting immediate behavioral reactions. J Neurophysiol 63:607–624.
Schultz W (2015) Neuronal reward and decision signals: From theories to data. Physiol Rev 95:853–951.
Genest W, Stauffer WR, Schultz W (2016) Utility functions predict variance and skewness risk preferences in monkeys. Proc Natl Acad Sci USA 113:8402–8407.
Mauss IB, Robinson MD (2009) Measures of emotion: A review. Cogn Emot 23:209–237.
Kelly SP, O’Connell RG (2015) The neural processes underlying perceptual decision making in humans: Recent progress and future directions. J Physiol Paris 109:27–37.
Petrides M, Alivisatos B, Evans AC, Meyer E (1993) Dissociation of human mid-dorsolateral from posterior dorsolateral frontal cortex in memory processing. Proc Natl Acad Sci USA 90:873–877.
Ernst M (2002) Decision-making in a risk-taking task: A PET study. Neuropsychophar-macology 26:682–691.
Sanfey AG, Rilling JK, Aronson JA, Nystrom LE, Cohen JD (2003) The neural basis of economic decision-making in the ultimatum game. Science 300:1755–1758.
Heekeren HR, Marrett S, Bandettini PA, Ungerleider LG (2004) A general mechanism for perceptual decision-making in the human brain. Nature 431:859–862.
De Martino B, Kumaran D, Seymour B, Dolan RJ (2006) Frames, biases, and rational decision-making in the human brain. Science 313:684–687.
Logothetis NK, Pauls J, Augath M, Trinath T, Oeltermann A (2001) Neurophysiological investigation of the basis of the fMRI signal. Nature 412:150–157.
Logothetis NK (2008) What we can do and what we cannot do with fMRI. Nature 453:869–878.
Guggisberg A, Dalal S, Findlay A, Nagarajan S (2008) High-frequency oscillations in distributed neural networks reveal the dynamics of human decision making. Front Hum Neurosci 1:14.
Ratcliff R, Philiastides MG, Sajda P (2009) Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG. Proc Natl Acad Sci USA 106:6539–6544.
Gale JT, Martinez-Rubio C, Sheth SA, Eskandar EN (2011) Intra-operative behavioral tasks in awake humans undergoing deep brain stimulation surgery. J Vis Exp, 6:e2156.
Solomon RC (1993) The Passions: Emotions and the Meaning of Life (Hackett, Indianapolis, IN), 2nd Ed..
Lerner JS, Li Y, Valdesolo P, Kassam KS (2015) Emotion and decision making. Annu Rev Psychol 66:799–823.
Phelps EA, Lempert KM, Sokol-Hessner P (2014) Emotion and decision making: Multiple modulatory neural circuits. Annu Rev Neurosci 37:263–287.
Graybiel AM (1996) Basal ganglia: New therapeutic approaches to Parkinson’s disease. Curr Biol 6:368–371.
Uhlhaas PJ, Singer W (2006) Neural synchrony in brain disorders: Relevance for cognitive dysfunctions and pathophysiology. Neuron 52:155–168.
Hirsch JA, et al. (2003) Functionally distinct inhibitory neurons at the first stage of visual cortical processing. Nat Neurosci 6:1300–1308.
Khambhati AN, Davis KA, Lucas TH, Litt B, Bassett DS (2016) Virtual cortical resection reveals push-pull network control preceding seizure evolution. Neuron 91:1170–1182.
Rutherford HJV, Lindell AK (2011) Thriving and surviving: Approach and avoidance motivation and lateralization. Emot Rev 3:333–343.
Tops M, Quirin M, Boksem MAS, Koole SL (2017) Large-scale neural networks and the lateralization of motivation and emotion. Int J Psychophysiol 119:41–49.
Patel SR, et al. (2012) Single-neuron responses in the human nucleus accumbens during a financial decision-making task. J Neurosci 32:7311–7315.
Sacré P, et al. (2016) Lucky rhythms in orbitofrontal cortex bias gambling decisions in humans. Sci Rep 6:36206.
Sacré P, et al. (2017) The influences and neural correlates of past and present during gambling in humans. Sci Rep 7:17111.
Abrahamyan A, Silva LL, Dakin SC, Carandini M, Gardner JL (2016) Adaptable history biases in human perceptual decisions. Proc Natl Acad Sci USA 113:E3548–E3557.
Hwang EJ, Dahlen JE, Mukundan M, Komiyama T (2017) History-based action selection bias in posterior parietal cortex. Nat Commun 8:1242.
Kitagawa G, Gersch W (1996) Smoothness Priors Analysis of Time Series (Springer, New York), Vol 116.
Moon TK (1996) The expectation-maximization algorithm. IEEE Signal Process Mag 13:47–60.
Roweis ST, Ghahramani Z (2001) Learning nonlinear dynamical system using the expectation-maximization algorithm. Kalman Filtering and Neural Networks, ed Haykin S (John Wiley, New York), pp 175–220.
Bishop CM (2006) Pattern Recognition and Machine Learning (Springer, New York).
Maris E, Oostenveld R (2007) Nonparametric statistical testing of EEG- and MEG-data. J Neurosci Methods 164:177–190.
Thut G, Nietzel A, Brandt SA, Pascual-Leone A (2006) α-band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection. J Neurosci 26:9494–9502.
Händel BF, Haarmeier T, Jensen O (2011) Alpha oscillations correlate with the successful inhibition of unattended stimuli. J Cogn Neurosci 23:2494–2502.
Mo J, Schroeder CE, Ding M (2011) Attentional modulation of alpha oscillations in macaque inferotemporal cortex. J Neurosci 31:878–882.
Foxe JJ, Simpson GV, Ahlfors SP (1998) Parieto-occipital ∼10 Hz activity reflects anticipatory state of visual attention mechanisms. Neuroreport 9:3929–3933.
Snyder AC, Foxe JJ (2010) Anticipatory attentional suppression of visual features indexed by oscillatory alpha-band power increases: A high-density electrical mapping study. J Neurosci 30:4024–4032.
Klimesch W (2012) Alpha-band oscillations, attention, and controlled access to stored information. Trends Cogn Sci 16:606–617.
Sporns O, Chialvo DR, Kaiser M, Hilgetag CC (2004) Organization, development and function of complex brain networks. Trends Cogn Sci 8:418–425.
Ray S, Crone NE, Niebur E, Franaszczuk PJ, Hsiao SS (2008) Neural correlates of high-gamma oscillations (60–200 Hz) in macaque local field potentials and their potential implications in electrocorticography. J Neurosci 28:11526–11536.
Johnson MD, Hyngstrom AS, Manuel M, Heckman CJ (2012) Push–pull control of motor output. J Neurosci 32:4592–4599.
Vallortigara G, Rogers LJ (2005) Survival with an asymmetrical brain: Advantages and disadvantages of cerebral lateralization. Behav Brain Sci 28:575–589.
Tranel D, Bechara A, Denburg NL (2002) Asymmetric functional roles of right and left ventromedial prefrontal cortices in social conduct, decision-making, and emotional processing. Cortex 38:589–612.
Tranel D, Damasio H, Denburg NL, Bechara A (2005) Does gender play a role in functional asymmetry of ventromedial prefrontal cortex? Brain 128:2872–2881.
Sutterer MJ, Koscik TR, Tranel D (2015) Sex-related functional asymmetry of the ventromedial prefrontal cortex in regard to decision-making under risk and ambiguity. Neuropsychologia 75:265–273.
Tranel D, Bechara A (2009) Sex-related functional asymmetry of the amygdala: Preliminary evidence using a case-matched lesion approach. Neurocase 15:217–234.
Knoch D, et al. (2006) Disruption of right prefrontal cortex by low-frequency repetitive transcranial magnetic stimulation induces risk-taking behavior. J Neurosci 26:6469–6472.
Knoch D, Pascual-Leone A, Meyer K, Treyer V, Fehr E (2006) Diminishing reciprocal fairness by disrupting the right prefrontal cortex. Science 314:829–832.
Fecteau S, et al. (2007) Diminishing risk-taking behavior by modulating activity in the prefrontal cortex: A direct current stimulation study. J Neurosci 27:12500–12505.
Fecteau S, et al. (2007) Activation of prefrontal cortex by transcranial direct current stimulation reduces appetite for risk during ambiguous decision making. J Neurosci 27:6212–6218.
Simon HA (1955) A behavioral model of rational choice. Q J Econ 69:99–118.
Paulus MP, Feinstein JS, Leland D, Simmons AN (2005) Superior temporal gyrus and insula provide response and outcome-dependent information during assessment and action selection in a decision-making situation. NeuroImage 25:607–615.
Schultz W, Dayan P, Montague PR (1997) A neural substrate of prediction and reward. Science 275:1593–1599.
McClure SM, Daw ND, Montague PR (2003) A computational substrate for incentive salience. Trends Neurosci 26:423–428.
Schultz W (2016) Dopamine reward prediction-error signalling: A two-component response. Nat Rev Neurosci 17:183–195.
