TY - GEN A1 - Hoxha, Isabelle A1 - Chevallier, Sylvain A1 - Ciarchi, Matteo A1 - Glasauer, Stefan A1 - Delorme, Arnaud A1 - Amorim, Michel‐Ange T1 - Accounting for endogenous effects in decision‐making with a non‐linear diffusion decision model T2 - Scientific Reports N2 - The Drift‐Diffusion Model (DDM) is widely accepted for two‐alternative forced‐choice decision paradigms thanks to its simple formalism and close fit to behavioral and neurophysiological data. However, this formalism presents strong limitations in capturing inter‐trial dynamics at the single‐ trial level and endogenous influences. We propose a novel model, the non‐linear Drift‐Diffusion Model (nl‐DDM), that addresses these issues by allowing the existence of several trajectories to the decision boundary. We show that the non‐linear model performs better than the drift‐diffusion model for an equivalent complexity. To give better intuition on the meaning of nl‐DDM parameters, we compare the DDM and the nl‐DDM through correlation analysis. This paper provides evidence of the functioning of our model as an extension of the DDM. Moreover, we show that the nl‐DDM captures time effects better than the DDM. Our model paves the way toward more accurately analyzing across‐trial variability for perceptual decisions and accounts for peri‐stimulus influences. Y1 - 2023 UR - https://opus4.kobv.de/opus4-UBICO/frontdoor/index/index/docId/32153 SN - 2045-2322 VL - 13 ER -