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Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making

Author

Listed:
  • Diksha Gupta

    (Princeton University
    University College London)

  • Brian DePasquale

    (Princeton University
    Boston University)

  • Charles D. Kopec

    (Princeton University)

  • Carlos D. Brody

    (Princeton University
    Princeton University)

Abstract

Trial history biases and lapses are two of the most common suboptimalities observed during perceptual decision-making. These suboptimalities are routinely assumed to arise from distinct processes. However, previous work has suggested that they covary in their prevalence and that their proposed neural substrates overlap. Here we demonstrate that during decision-making, history biases and apparent lapses can both arise from a common cognitive process that is optimal under mistaken beliefs that the world is changing i.e. nonstationary. This corresponds to an accumulation-to-bound model with history-dependent updates to the initial state of the accumulator. We test our model’s predictions about the relative prevalence of history biases and lapses, and show that they are robustly borne out in two distinct decision-making datasets of male rats, including data from a novel reaction time task. Our model improves the ability to precisely predict decision-making dynamics within and across trials, by positing a process through which agents can generate quasi-stochastic choices.

Suggested Citation

  • Diksha Gupta & Brian DePasquale & Charles D. Kopec & Carlos D. Brody, 2024. "Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44880-5
    DOI: 10.1038/s41467-024-44880-5
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    References listed on IDEAS

    as
    1. Ainhoa Hermoso-Mendizabal & Alexandre Hyafil & Pavel E. Rueda-Orozco & Santiago Jaramillo & David Robbe & Jaime Rocha, 2020. "Author Correction: Response outcomes gate the impact of expectations on perceptual decisions," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    2. Timothy D. Hanks & Charles D. Kopec & Bingni W. Brunton & Chunyu A. Duan & Jeffrey C. Erlich & Carlos D. Brody, 2015. "Distinct relationships of parietal and prefrontal cortices to evidence accumulation," Nature, Nature, vol. 520(7546), pages 220-223, April.
    3. Ainhoa Hermoso-Mendizabal & Alexandre Hyafil & Pavel E. Rueda-Orozco & Santiago Jaramillo & David Robbe & Jaime Rocha, 2020. "Response outcomes gate the impact of expectations on perceptual decisions," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    4. Alex T. Piet & Ahmed El Hady & Carlos D. Brody, 2018. "Rats adopt the optimal timescale for evidence integration in a dynamic environment," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    5. Athena Akrami & Charles D. Kopec & Mathew E. Diamond & Carlos D. Brody, 2018. "Posterior parietal cortex represents sensory history and mediates its effects on behaviour," Nature, Nature, vol. 554(7692), pages 368-372, February.
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