Bursts and heavy tails in temporal and sequential dynamics of foraging decisions

PLoS Comput Biol. 2014 Aug 14;10(8):e1003759. doi: 10.1371/journal.pcbi.1003759. eCollection 2014 Aug.

Abstract

A fundamental understanding of behavior requires predicting when and what an individual will choose. However, the actual temporal and sequential dynamics of successive choices made among multiple alternatives remain unclear. In the current study, we tested the hypothesis that there is a general bursting property in both the timing and sequential patterns of foraging decisions. We conducted a foraging experiment in which rats chose among four different foods over a continuous two-week time period. Regarding when choices were made, we found bursts of rapidly occurring actions, separated by time-varying inactive periods, partially based on a circadian rhythm. Regarding what was chosen, we found sequential dynamics in affective choices characterized by two key features: (a) a highly biased choice distribution; and (b) preferential attachment, in which the animals were more likely to choose what they had previously chosen. To capture the temporal dynamics, we propose a dual-state model consisting of active and inactive states. We also introduce a satiation-attainment process for bursty activity, and a non-homogeneous Poisson process for longer inactivity between bursts. For the sequential dynamics, we propose a dual-control model consisting of goal-directed and habit systems, based on outcome valuation and choice history, respectively. This study provides insights into how the bursty nature of behavior emerges from the interaction of different underlying systems, leading to heavy tails in the distribution of behavior over time and choices.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Appetitive Behavior / physiology*
  • Choice Behavior / physiology*
  • Circadian Rhythm / physiology
  • Male
  • Models, Biological*
  • Rats
  • Rats, Sprague-Dawley
  • Time Factors

Grants and funding

KJ and JJ thank the Korea Science and Engineering Foundation (KOSEF) through grant NRF-2013R1A1A2011570 and NRF-2006-2005399 No. R01-2007-000-21094-0, and No. M10644000028-06N4400-02810 for funding during this project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.