@misc{HoxhaChevallierCiarchietal., author = {Hoxha, Isabelle and Chevallier, Sylvain and Ciarchi, Matteo and Glasauer, Stefan and Delorme, Arnaud and Amorim, Michel-Ange}, title = {Accounting for endogenous effects in decision-making with a non-linear diffusion decision model}, series = {Scientific Reports}, volume = {13}, journal = {Scientific Reports}, issn = {2045-2322}, doi = {10.1038/s41598-023-32841-9}, abstract = {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.}, language = {en} }