The Effects of Time Horizon and Guided Choices on Explore–Exploit Decisions in Rodents

Siyu Wang, Blake Gerken, Julia R. Wieland, Robert C. Wilson, Jean Marc Fellous

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Humans and animals have to balance the need for exploring new options with exploiting known options that yield good outcomes. This tradeoff is known as the explore–exploit dilemma. To better understand the neural mechanisms underlying how humans and animals address the explore–exploit dilemma, a good animal behavioral model is critical. Most previous rodents explore–exploit studies used ethologically unrealistic operant boxes and reversal learning paradigms in which the decision to abandon a bad option is confounded by the need for exploring a novel option for information collection, making it difficult to separate different drives and heuristics for exploration. In this study, we investigated how rodents make explore–exploit decisions using a spatial navigation horizon task (Wilson et al., 2014) adapted to rats to address the above limitations. We compared the rats’ performance to that of humans using identical measures. We showed that rats use prior information to effectively guide exploration. In addition, rats use information-driven directed exploration like humans, but the extent to which they explore has the opposite dependance on time horizon than humans. Moreover, we found that free choices and guided choices have different influences on exploration in rodents, a finding that has not yet been tested in humans. This study reveals that the explore–exploit spatial behavior of rats is more complex than previously thought.

Original languageEnglish (US)
Pages (from-to)127-142
Number of pages16
JournalBehavioral Neuroscience
Volume137
Issue number2
DOIs
StatePublished - Jan 12 2023

Keywords

  • directed and random exploration
  • explore–exploit dilemma
  • guided versus free exploration
  • prior information

ASJC Scopus subject areas

  • Behavioral Neuroscience

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