Abstract
Cognitive functioning is vital for enabling animals of all taxa to optimise their chances of survival and reproductive success. Learning and memory in particular are drivers of many evolutionary processes. In this study, we examine how developmental plasticity can affect cognitive ability by exploring the role the early social environment has on problem solving ability and learning of female black field crickets, Teleogryllus commodus. We used two learning paradigms, an analog of the Morris water maze and a novel linear maze, to examine cognitive differences between individuals reared in two acoustic treatments: silence or calling. Although there was no evidence of learning or memory, individuals that took longer to mature solved the Morris water maze more quickly. Our results suggest that increased investment into cognitive development is likely associated with increased development time during immature stages. Inconsistent individual performance and motivation during the novel linear maze task highlights the difficulties of designing ecologically relevant learning tasks within a lab setting. The role of experimental design in understanding cognitive ability and learning in more natural circumstances is discussed.
Highlights
Vital tasks for all animals, such as survival and reproduction, are facilitated by their ability to perceive and interpret their world and are heavily reliant on cognitive functioning (Buchanan, Grindstaff & Pravosudov, 2013)
In our linear mixed model, we found no evidence that treatment (t = −0.05, P = 0.96), development rate (t = 0.09, P = 0.93), or weight (t = 1.70, P = 0.10) predicted the completion time of the successful trials
We found no evidence that individuals improved in how quickly they completed the heat maze over subsequent trials (Table 1, Fig. 4), suggesting that individuals did not learn during the trials
Summary
Vital tasks for all animals, such as survival and reproduction, are facilitated by their ability to perceive and interpret their world and are heavily reliant on cognitive functioning (Buchanan, Grindstaff & Pravosudov, 2013). It is important to understand the various environmental factors that can affect how immature individuals allocate resources during development and how changes in allocation strategies shape cognitive performance at maturity (Buchanan, Grindstaff & Pravosudov, 2013) Along those lines, there are many studies that demonstrate how environmental variation in food types (Kotrschal & Taborsky, 2010), habitat complexity (Sheenaja & Thomas, 2011), or visual environments (Girvan & Braithwaite, 2000), during the juvenile stage can trigger differences in how resources are allocated towards cognitive development and other fitness related traits
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