Individual differences in social information gathering revealed through Bayesian hierarchical models

Frontiers in Neuroscience

Volumn , Issue 7 SEP, 2013, Pages

  Pearson, John M ^a   Watson, Karli K ^a   Klein, Jeffrey T ^b   Becket Ebitz, R ^a   Platt, Michael L ^a,c  

^a DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c DUKE UNIVERSITY   (United States)

Author keywords

Bayesian hierarchical model; Pay per view; Social information

Indexed keywords

ARTICLE; BAYES THEOREM; CONTROLLED STUDY; DECISION MAKING; FEMALE; INFORMATION PROCESSING; NONHUMAN; POPULATION DISTRIBUTION; RHESUS MONKEY; SOCIAL BEHAVIOR; STIMULUS; TIME;

EID: 84904740600     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2013.00165     Document Type: Article

References (28)

1. Behrens, T. E. J., Woolrich, M. W., Walton, M. E., and Rushworth, M. F. S. (2007). Learning the value of information in an uncertain world. Nat. Neurosci. 10, 1214-1221. doi: 10.1038/nn1954
2. Berg, A., Meyer, R., and Yu, J. (2004). Deviance information criterion for comparing stochastic volatility models. J. Bus. Econ. Stat. 22, 107-120.
3. Buckholtz, J. W., Callicott, J. H., Kolachana, B., Hariri, A. R., Goldberg, T. E., Genderson, M., et al. (2007). Genetic variation in MAOA modulates ventromedial prefrontal circuitry mediating individual differences in human personality. Mol. Psychiatry 13, 313-324. doi: 10.1038/sj.mp.4002020
4. Chib, S., and Greenberg, E. (1995). Understanding the metropolis-hastings algorithm. Am. Stat. 49, 327-335.
5. Daw, N. D., O'Doherty, J. P., Dayan, P., Seymour, B., and Dolan, R. J. (2006). Cortical substrates for exploratory decisions in humans. Nature 441, 876-879. doi: 10.1038/nature04766
6. Deaner, R. O., Khera, A. V., and Platt, M. L. (2005). Monkeys pay per view: adaptive valuation of social images by rhesus macaques. Curr. Biol. 15, 543-548. doi: 10.1016/j.cub.2005.01.044
7. Friston K., Stephan, K., Lund, T., Morcom, A., and Kiebel, S. (2005). Mixed-effects and fMRI studies. Neuroimage 24, 244-252. doi: 10.1016/j.neuroimage.2004.08.055
8. Friston K. J., Harrison L., and Penny W. (2003). Dynamic causal modelling. Neuroimage 19, 1273-1302. doi: 10.1016/S1053-8119(03)00202-7
9. Gelman, A., Carlin, J. B., Stern, H. S., and Rubin, D. B. (2003). Bayesian Data Analysis, 2nd Edn. Boca Raton, FL: CRC Press.
10. Gelman, A., and Hill, J. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. New York, NY: Cambridge University Press.
11. Hariri, A. R. (2009). The neurobiology of individual differences in complex behavioral traits. Annu. Rev. Neurosci. 32, 225-247. doi: 10.1146/annurev.neuro.051508.135335
12. Hariri, A. R., Mattay, V. S., Tessitore, A., Kolachana, B., Fera, F., Goldman, D., et al. (2002). Serotonin transporter genetic variation and the response of the human amygdala. Science 297, 400-403. doi: 10.1126/science.1071829
13. Kennerley, S. W., Walton, M. E., Behrens, T. E. J., Buckley, M. J., and Rushworth, M. F. S. (2006). Optimal decision making and the anterior cingulate cortex. Nat. Neurosci. 9, 940-947. doi: 10.1038/nn1724
14. Klein, J., and Platt, M. (2013). Social information signaling by neurons in primate striatum. Curr. Biol. 23, 691-696. doi: 10.1016/j.cub.2013.03.022
15. Klein, J. T., Deaner, R. O., and Platt, M. L. (2008). Neural correlates of social target value in macaque parietal cortex. Curr. Biol. 18, 419-424. doi: 10.1016/j.cub.2008.02.047
16. Krajbich, I., Camerer, C., Ledyard, J., and Rangel, A. (2009). Using neural measures of economic value to solve the public goods free-rider problem. Science 326, 596-599. doi: 10.1126/science.1177302
17. Louie, K., and Glimcher, P. W. (2010). Separating value from choice: delay discounting activity in the lateral intraparietal area. J. Neurosci. 30, 5498-5507. doi: 10.1523/JNEUROSCI.5742-09.2010
18. Lunn, D., Jackson, C., Spiegelhalter, D. J., Best, N., and Thomas, A. (2012). The Bugs Book: A Practical Introduction to Bayesian Analysis. Boca Raton, FL: CRC Press.
19. MacKay, D. J. (2003). Information Theory, Inference and Learning Algorithms. Cambridge: Cambridge University Press.
20. Montague, P. R., Hyman, S. E., and Cohen, J. D. (2004). Computational roles for dopamine in behavioural control. Nature 431, 760-767. doi: 10.1038/nature03015
21. Pearson, J. M., Hayden, B. Y., and Platt, M. L. (2010). Explicit information reduces discounting behavior in monkeys. Front. Psychol. 1. doi: 10.3389/fpsyg.2010.00237
22. Pearson, J. M., Hayden, B. Y., Raghavachari, S., and Platt, M. L. (2009). Neurons in posterior cingulate cortex signal exploratory decisions in a dynamic multioption choice task. Curr. Biol. 19, 1532-1537. doi: 10.1016/j.cub.2009.07.048
23. Pinheiro, J. C., and Bates, D. M. (2000). Mixed-Effects Models in S and S-Plus. New York, NY: Springer.
24. Plummer, M. (2003). JAGS: a program for analysis of bayesian graphical models using gibbs sampling. Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003), 20-22. Available online at: http://cran.r-project.org/web/packages/RWinEdt/citation.html
25. Quilodran, R., Roth, M., and Procyk, E. (2008). Behavioral shifts and action valuation in the anterior cingulate cortex. Neuron 57, 314-325. doi: 10.1016/j.neuron.2007.11.031
26. Schultz, W., Dayan, P., and Montague, P. R. (1997). A neural substrate of prediction and reward. Science 275, 1593-1599. doi: 10.1126/science.275.5306.1593
27. Shiffrin, R. M., Lee, M. D., Kim, W., and Wagenmakers, E.-J. (2008). A survey of model evaluation approaches with a tutorial on hierarchical bayesian methods. Cogn. Sci. 32, 1248-1284. doi: 10.1080/03640210802414826
28. Watson, K., and Platt, M. (2012). Social signals in primate orbitofrontal cortex. Curr. Biol. 22, 2268-2273. doi: 10.1016/j.cub.2012.10.016