cognitive neuroscience 1drift diffusion models 1first passage time models 1likelihood computation 1stochastic differential equations 1
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2 papers
stat.ME2026★ 1 cited
Efficient Inference in First Passage Time Models
Sicheng Liu, Alexander Fengler, Michael J. Frank +1
The paper introduces a fast algorithm for computing likelihoods in generalized drift diffusion models, a type of first passage time model, by dividing trials into stages and using…
stat.ME2026
Time-Averaged Drift Approximations are Inconsistent for Inference in Drift Diffusion Models
Sicheng Liu, Alexander Fengler, Michael J. Frank +1
Drift diffusion models (DDMs) have found widespread use in computational neuroscience, cognitive science, mathematical psychology as well as other fields. They model evidence accum…