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Different time courses of learning-related activity in the prefrontal cortex and striatum

Author

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  • Anitha Pasupathy

    (Massachusetts Institute of Technology)

  • Earl K. Miller

    (Massachusetts Institute of Technology)

Abstract

In two minds... The ability to follow arbitrary associations, such as “stop at red”, is integral to everyday behaviour and the primate brain is quick to learn them. Both the prefrontal complex and the striatum have been implicated in this process, but their respective roles are largely unknown. An experiment in which brain activity in these two areas was recorded while monkeys learned new associations shows that the learning-related changes occur much more quickly in the striatum, but that changes in the prefrontal cortex were more closely related to improved performance of the new task. It is possible that the striatum learns first, then ‘trains’ the prefrontal cortex.

Suggested Citation

  • Anitha Pasupathy & Earl K. Miller, 2005. "Different time courses of learning-related activity in the prefrontal cortex and striatum," Nature, Nature, vol. 433(7028), pages 873-876, February.
    • Handle: RePEc:nat:nature:v:433:y:2005:i:7028:d:10.1038_nature03287
    DOI: 10.1038/nature03287
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    Cited by:

    1. Richard Freund & Marta Favara & Catherine Porter & Jere Behrman, 2024. "Social Protection and Foundational Cognitive Skills during Adolescence: Evidence from a Large Public Works Program," The World Bank Economic Review, World Bank, vol. 38(2), pages 296-318.
    2. Johannes Algermissen & Jennifer C. Swart & René Scheeringa & Roshan Cools & Hanneke E. M. den Ouden, 2024. "Prefrontal signals precede striatal signals for biased credit assignment in motivational learning biases," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    3. Naveen Sendhilnathan & Anna Ipata & Michael E. Goldberg, 2021. "Mid-lateral cerebellar complex spikes encode multiple independent reward-related signals during reinforcement learning," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. Makoto Ito & Kenji Doya, 2015. "Parallel Representation of Value-Based and Finite State-Based Strategies in the Ventral and Dorsal Striatum," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-25, November.
    5. Francesco Ceccarelli & Lorenzo Ferrucci & Fabrizio Londei & Surabhi Ramawat & Emiliano Brunamonti & Aldo Genovesio, 2023. "Static and dynamic coding in distinct cell types during associative learning in the prefrontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    6. Lisa Katharina Pendt & Iris Reuter & Hermann Müller, 2011. "Motor Skill Learning, Retention, and Control Deficits in Parkinson's Disease," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-10, July.

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