ArticleScientific reports2021
Modified leaky competing accumulator model of decision making with multiple alternatives: the Lie-algebraic approach.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Probing the origins of subjective confidence in source memory decisions in young and older adults: A sequential sampling account.Journal of experimental psychology. General · 2025Article
- Article
- Mnemonic vs. Executive Contributions to the N400: A Connectionist Approach to False Memories.Computational brain & behavior · 2024Article
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Authors and funding
2 authors.
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Abstract
In this communication, based upon the stochastic Gompertz law of population growth, we have reformulated the Leaky Competing Accumulator (LCA) model with multiple alternatives such that the positive-definiteness of evidence accumulation is automatically satisfied. By exploiting the Lie symmetry of the backward Kolmogorov equation (or Fokker-Planck equation) assoicated with the modified model and applying the Wei-Norman theorem, we have succeeded in deriving the N-dimensional joint probability density function (p.d.f.) and marginal p.d.f. for each alternative in closed form. With this joint p.d.f., a likelihood function can be constructed and thus model-fitting procedures become feasible. We have also demonstrated that the calibration of model parameters based upon the Monte Carlo simulated time series is indeed both efficient and accurate. Moreover, it should be noted that the proposed Lie-algebraic approach can also be applied to tackle the modified LCA model with time-varying parameters.
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