Individual differences in social information gathering revealed through Bayesian hierarchical models
As studies of the neural circuits underlying choice expand to include more complicated behaviors, analysis of behaviors elicited in laboratory paradigms has grown increasingly difficult. Social behaviors present a particular challenge, since inter- and intra-individual variation are expected to play...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2013-09-01
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Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00165/full |
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author | John ePearson John ePearson John ePearson Karli K Watson Karli K Watson Karli K Watson Jeffrey T Klein R Becket Ebitz R Becket Ebitz R Becket Ebitz Michael L Platt Michael L Platt Michael L Platt Michael L Platt |
author_facet | John ePearson John ePearson John ePearson Karli K Watson Karli K Watson Karli K Watson Jeffrey T Klein R Becket Ebitz R Becket Ebitz R Becket Ebitz Michael L Platt Michael L Platt Michael L Platt Michael L Platt |
author_sort | John ePearson |
collection | DOAJ |
description | As studies of the neural circuits underlying choice expand to include more complicated behaviors, analysis of behaviors elicited in laboratory paradigms has grown increasingly difficult. Social behaviors present a particular challenge, since inter- and intra-individual variation are expected to play key roles. However, due to limitations on data collection, studies must often choose between pooling data across all subjects or using individual subjects' data in isolation. Hierarchical models mediate between these two extremes by modeling individual subjects as drawn from a population distribution, allowing the population at large to serve as prior information about individuals' behavior. Here, we apply this method to data collected across multiple experimental sessions from a set of rhesus macaques performing a social information valuation task. We show that, while the values of social images vary markedly between individuals and between experimental sessions for the same individual, individuals also differentially value particular categories of social images. Furthermore, we demonstrate covariance between values for image categories within individuals and find evidence suggesting that magnitudes of stimulus values tend to diminish over time. |
first_indexed | 2024-04-13T08:45:32Z |
format | Article |
id | doaj.art-7118b91c5b6745cbbd6451a18034dcaa |
institution | Directory Open Access Journal |
issn | 1662-453X |
language | English |
last_indexed | 2024-04-13T08:45:32Z |
publishDate | 2013-09-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neuroscience |
spelling | doaj.art-7118b91c5b6745cbbd6451a18034dcaa2022-12-22T02:53:43ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2013-09-01710.3389/fnins.2013.0016559275Individual differences in social information gathering revealed through Bayesian hierarchical modelsJohn ePearson0John ePearson1John ePearson2Karli K Watson3Karli K Watson4Karli K Watson5Jeffrey T Klein6R Becket Ebitz7R Becket Ebitz8R Becket Ebitz9Michael L Platt10Michael L Platt11Michael L Platt12Michael L Platt13Duke University Medical CenterCenter for Cognitive NeuroscienceDuke Institute for Brain SciencesDuke University Medical CenterCenter for Cognitive NeuroscienceDuke Institute for Brain SciencesUniversity of North CarolinaDuke University Medical CenterCenter for Cognitive NeuroscienceDuke Institute for Brain SciencesDuke University Medical CenterCenter for Cognitive NeuroscienceDuke Institute for Brain SciencesDuke UniversityAs studies of the neural circuits underlying choice expand to include more complicated behaviors, analysis of behaviors elicited in laboratory paradigms has grown increasingly difficult. Social behaviors present a particular challenge, since inter- and intra-individual variation are expected to play key roles. However, due to limitations on data collection, studies must often choose between pooling data across all subjects or using individual subjects' data in isolation. Hierarchical models mediate between these two extremes by modeling individual subjects as drawn from a population distribution, allowing the population at large to serve as prior information about individuals' behavior. Here, we apply this method to data collected across multiple experimental sessions from a set of rhesus macaques performing a social information valuation task. We show that, while the values of social images vary markedly between individuals and between experimental sessions for the same individual, individuals also differentially value particular categories of social images. Furthermore, we demonstrate covariance between values for image categories within individuals and find evidence suggesting that magnitudes of stimulus values tend to diminish over time.http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00165/fullsocial neuroscienceforagingBayesian Modelsinformation foragingpay-per-view |
spellingShingle | John ePearson John ePearson John ePearson Karli K Watson Karli K Watson Karli K Watson Jeffrey T Klein R Becket Ebitz R Becket Ebitz R Becket Ebitz Michael L Platt Michael L Platt Michael L Platt Michael L Platt Individual differences in social information gathering revealed through Bayesian hierarchical models Frontiers in Neuroscience social neuroscience foraging Bayesian Models information foraging pay-per-view |
title | Individual differences in social information gathering revealed through Bayesian hierarchical models |
title_full | Individual differences in social information gathering revealed through Bayesian hierarchical models |
title_fullStr | Individual differences in social information gathering revealed through Bayesian hierarchical models |
title_full_unstemmed | Individual differences in social information gathering revealed through Bayesian hierarchical models |
title_short | Individual differences in social information gathering revealed through Bayesian hierarchical models |
title_sort | individual differences in social information gathering revealed through bayesian hierarchical models |
topic | social neuroscience foraging Bayesian Models information foraging pay-per-view |
url | http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00165/full |
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