bioRxiv · 10.1101/2023.01.10.523416
Comparing rapid rule-learning strategies in humans and monkeys
Abstract
Inter-species comparisons are key to deriving an understanding of the behavioral and neural correlates of human cognition from animal models. We perform a detailed comparison of macaque monkey and human strategies on an analogue of the Wisconsin Card Sort Test, a widely studied and applied multi-attribute measure of cognitive function, wherein performance requires the inference of a changing rule given ambiguous feedback. We found that well-trained monkeys rapidly infer rules but are three times slower than humans. Model fits to their choices revealed hidden states akin to feature-based attention in both species, and decision processes that resembled a Win-stay lose-shift strategy with key differences. Monkeys and humans test multiple rule hypotheses over a series of rule-search trials and perform inference-like computations to exclude candidates. An attention-set based learning stage categorization revealed that perseveration, random exploration and poor sensitivity to negative feedback explain the under-performance in monkeys.
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Goudar, V., Kim, J.-W., Liu, Y., Dede, A. J. O., Jutras, M. J., Skelin, I., Ruvalcaba, M., Chang, W., Fairhall, A. L., Lin, J. J., Knight, R. T., Buffalo, E. A., Wang, X.-J.. 2023-01-10. Comparing rapid rule-learning strategies in humans and monkeys. https://doi.org/10.1101/2023.01.10.523416
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