Comparing Learning Speed of new Mazes in Rats with and without Prior Maze Learning Experience

Rashid, Khosro; Beiranvand, Arezou Delfan; Farhadi, Mehran

doi:10.14257/ijel.2017.6.1.01

Cited by 3 publications

(1 citation statement)

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“…A range of transfer outcomes have been observed, ranging from positive transfer (improvement in performance) to neutral effect (no change) to negative transfer (worsening) (Webb, 1917;Wiltbank, 1919;Dennis et al, 1932). Further, transfer was reported for different degrees of experience: rats performed fewer errors when learning a new maze even with partial training of a different maze (Ho, 1928;Bunch and Lang, 1939) or after training in multiple mazes (Dashiell, 1920;Rashid et al, 2017). Further, solving new problems can also improve when rats had dissimilar past experience, such as prior operant learning improving new spatial learning (Adams, 2003) or positive transfer between mazes with different rules (Gallup and Diamond, 1960).…”

Section: Introductionmentioning

confidence: 99%

Experience shapes initial exploration for non-generalizable spatial learning

Awh,

Latimer,

Zhou

et al. 2023

Preprint

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Experience can change how individuals learn. Learning to solve a new problem can be accelerated by generalizing known rules in the new context, but the impact of experience on solving problems where generalization cannot be applied remains unclear. To study the impact of experience on solving new problems that are distinct from previously learned tasks, we examined how rats learned a new spatial navigation task after having previously learned different sets of spatial navigation tasks. The new task differed from the previous tasks in spatial layout and navigation rule, and could not be solved by applying previously learned rules. We found that different experience histories did not impact task performance in the new task. However, by examining navigation choices made by rats, we found exploration patterns during the early stage of learning in the new task was dependent on experience history. We identified these behavioral differences by analyzing each rat’s navigation choices and by modeling their choice sequences with a modified distance dependent Chinese restaurant process. We further pinpointed the behavioral difference to sequential turn/no turn decisions made at choice points. Our results indicate that experience can influence problem-solving strategies when learning to solve new problems. Individuals with distinct experience histories can approach new problems from different starting points but converge on the same solution.

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Section: Introductionmentioning

confidence: 99%

Experience shapes initial exploration for non-generalizable spatial learning

Awh,

Latimer,

Zhou

et al. 2023

Preprint

View full text Add to dashboard Cite

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Persistent Impact of Prior Experience on Spatial Learning

Awh,

Latimer,

Zhou

et al. 2024

eNeuro

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Learning to solve a new problem involves identifying the operating rules, which can be accelerated if known rules generalize in the new context. We ask how prior experience affects learning a new rule that is distinct from known rules. We examined how rats learned a new spatial navigation task after having previously learned tasks with different navigation rules. The new task differed from the previous tasks in spatial layout and navigation rule. We found that experience history did not impact overall performance. However, by examining navigation choice sequences in the new task, we found experience-dependent differences in exploration patterns during early stages of learning, as well as differences in the types of errors made during stable performance. The differences were consistent with the animals adopting experience-dependent memory strategies to discover and implement the new rule. Our results indicate prior experience shapes the strategies for solving novel problems, and the impact of prior experience remains persistent.

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