Accounting for endogenous effects in decision-making with a non-linear diffusion decision model
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-32841-9 |
| _version_ | 1797841117278896128 |
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| author | Isabelle Hoxha Sylvain Chevallier Matteo Ciarchi Stefan Glasauer Arnaud Delorme Michel-Ange Amorim |
| author_facet | Isabelle Hoxha Sylvain Chevallier Matteo Ciarchi Stefan Glasauer Arnaud Delorme Michel-Ange Amorim |
| author_sort | Isabelle Hoxha |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T16:25:48Z |
| format | Article |
| id | doaj.art-f77ddbcb743c4853b324f5ad95684f15 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T16:25:48Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-f77ddbcb743c4853b324f5ad95684f152023-04-23T11:15:51ZengNature PortfolioScientific Reports2045-23222023-04-0113111510.1038/s41598-023-32841-9Accounting for endogenous effects in decision-making with a non-linear diffusion decision modelIsabelle Hoxha0Sylvain Chevallier1Matteo Ciarchi2Stefan Glasauer3Arnaud Delorme4Michel-Ange Amorim5CIAMS, Université Paris-SaclayLISN, Université Paris-SaclayMax-Planck Institute for the Physics of Complex SystemsComputational Neuroscience, Brandenburg University of Technology Cottbus-SenftenbergCerCo, CNRS, Université Toulouse III - Paul SabatierCIAMS, Université Paris-SaclayAbstract 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.https://doi.org/10.1038/s41598-023-32841-9 |
| spellingShingle | Isabelle Hoxha Sylvain Chevallier Matteo Ciarchi Stefan Glasauer Arnaud Delorme Michel-Ange Amorim Accounting for endogenous effects in decision-making with a non-linear diffusion decision model Scientific Reports |
| title | Accounting for endogenous effects in decision-making with a non-linear diffusion decision model |
| title_full | Accounting for endogenous effects in decision-making with a non-linear diffusion decision model |
| title_fullStr | Accounting for endogenous effects in decision-making with a non-linear diffusion decision model |
| title_full_unstemmed | Accounting for endogenous effects in decision-making with a non-linear diffusion decision model |
| title_short | Accounting for endogenous effects in decision-making with a non-linear diffusion decision model |
| title_sort | accounting for endogenous effects in decision making with a non linear diffusion decision model |
| url | https://doi.org/10.1038/s41598-023-32841-9 |
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