A comparison of bounded diffusion models for choice in time controlled tasks.

The Wiener diffusion model (WDM) for 2-alternative tasks assumes that sensory information is integrated over time. Recent neurophysiological studies have found neural correlates of this integration process in certain neuronal populations. This paper analyses the properties of the WDM with two differ...

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Main Authors: Zhang, J, Bogacz, R, Holmes, P
Format: Journal article
Language:English
Published: 2009
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author Zhang, J
Bogacz, R
Holmes, P
author_facet Zhang, J
Bogacz, R
Holmes, P
author_sort Zhang, J
collection OXFORD
description The Wiener diffusion model (WDM) for 2-alternative tasks assumes that sensory information is integrated over time. Recent neurophysiological studies have found neural correlates of this integration process in certain neuronal populations. This paper analyses the properties of the WDM with two different boundary conditions in decision making tasks in which the time of response is indicated by a cue. A dual reflecting boundary mechanism is proposed and its performance is compared with a well-established absorbing boundary in the cases of the WDM, the WDM with extensions, and the WDM with prior probability. The two types of boundary influence the dynamics of the model and introduce differential weighting of evidence. Comparisons with Ornstein-Uhlenbeck models are also done, and it is shown that the WDM with both types of boundaries achieves similar performance and produce similar fits to existing behavioural data. Further studies are proposed to distinguish which boundary mechanism is more consistent with experimental data.
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spelling oxford-uuid:4053939b-7bab-4223-a351-9405471471362022-03-26T14:37:17ZA comparison of bounded diffusion models for choice in time controlled tasks.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:4053939b-7bab-4223-a351-940547147136EnglishSymplectic Elements at Oxford2009Zhang, JBogacz, RHolmes, PThe Wiener diffusion model (WDM) for 2-alternative tasks assumes that sensory information is integrated over time. Recent neurophysiological studies have found neural correlates of this integration process in certain neuronal populations. This paper analyses the properties of the WDM with two different boundary conditions in decision making tasks in which the time of response is indicated by a cue. A dual reflecting boundary mechanism is proposed and its performance is compared with a well-established absorbing boundary in the cases of the WDM, the WDM with extensions, and the WDM with prior probability. The two types of boundary influence the dynamics of the model and introduce differential weighting of evidence. Comparisons with Ornstein-Uhlenbeck models are also done, and it is shown that the WDM with both types of boundaries achieves similar performance and produce similar fits to existing behavioural data. Further studies are proposed to distinguish which boundary mechanism is more consistent with experimental data.
spellingShingle Zhang, J
Bogacz, R
Holmes, P
A comparison of bounded diffusion models for choice in time controlled tasks.
title A comparison of bounded diffusion models for choice in time controlled tasks.
title_full A comparison of bounded diffusion models for choice in time controlled tasks.
title_fullStr A comparison of bounded diffusion models for choice in time controlled tasks.
title_full_unstemmed A comparison of bounded diffusion models for choice in time controlled tasks.
title_short A comparison of bounded diffusion models for choice in time controlled tasks.
title_sort comparison of bounded diffusion models for choice in time controlled tasks
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