Stochastic Models of Evidence Accumulation in Changing Environments

DOI10.1137/15M1028443zbMath1419.62017arXiv1505.04195MaRDI QIDQ2805268

Zachary P. Kilpatrick, Alan Veliz-Cuba, Krešimir Josić

Publication date: 10 May 2016

Published in: SIAM Review (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1505.04195

zbMATH Keywords

decision makingdrift-diffusion modeldynamic environmentBayesian inferencesequential probability ratio testmathematical neurosciencerecursive Bayesian estimation

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Neural biology (92C20) Sequential statistical analysis (62L10) Psychophysics and psychophysiology; perception (91E30)

Related Items (6)

Decision-time statistics of nonlinear diffusion models: characterizing long sequences of subsequent trials ⋮ The Hitchhiker's guide to nonlinear filtering ⋮ Evidence Accumulation and Change Rate Inference in Dynamic Environments ⋮ Optimizing sequential decisions in the drift-diffusion model ⋮ Analyzing dynamic decision-making models using Chapman-Kolmogorov equations ⋮ Bayesian Evidence Accumulation on Social Networks

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