Audiovisual detection at different intensities and delays

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Audiovisual detection at different intensities and delays. / Chandrasekaran, Chandramouli; Blurton, Steven; Gondan, Matthias.

In: Journal of Mathematical Psychology, Vol. 91, 2019, p. 159-175.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Chandrasekaran, C, Blurton, S & Gondan, M 2019, 'Audiovisual detection at different intensities and delays', Journal of Mathematical Psychology, vol. 91, pp. 159-175. https://doi.org/10.1016/j.jmp.2019.05.001

APA

Chandrasekaran, C., Blurton, S., & Gondan, M. (2019). Audiovisual detection at different intensities and delays. Journal of Mathematical Psychology, 91, 159-175. https://doi.org/10.1016/j.jmp.2019.05.001

Vancouver

Chandrasekaran C, Blurton S, Gondan M. Audiovisual detection at different intensities and delays. Journal of Mathematical Psychology. 2019;91:159-175. https://doi.org/10.1016/j.jmp.2019.05.001

Author

Chandrasekaran, Chandramouli ; Blurton, Steven ; Gondan, Matthias. / Audiovisual detection at different intensities and delays. In: Journal of Mathematical Psychology. 2019 ; Vol. 91. pp. 159-175.

Bibtex

@article{254f80f500f04a9697edd92cfc5ea342,
title = "Audiovisual detection at different intensities and delays",
abstract = "In the redundant signals task, two target stimuli are associated with the same response. If both targets are presented together, redundancy gains are observed, as compared with single-target presentation. Different models explain these redundancy gains, including race and coactivation models (e.g., the Wiener diffusion superposition model, Schwarz, 1994, Journal of Mathematical Psychology, and the Ornstein Uhlenbeck diffusion superposition model, Diederich, 1995, Journal of Mathematical Psychology). In the present study, two monkeys performed a simple detection task with auditory, visual and audiovisual stimuli of different intensities and onset asynchronies. In its basic form, a Wiener diffusion superposition model provided only a poor description of the observed data, especially of the detection rate (i.e., accuracy or hit rate) for low stimulus intensity. We expanded the model in two ways, by (A) adding a temporal deadline, that is, restricting the evidence accumulation process to a stopping time, and (B) adding a second “nogo” barrier representing target absence. We present closed-form solutions for the mean absorption times and absorption probabilities for a Wiener diffusion process with a drift towards a single barrier in the presence of a temporal deadline (A), and numerically improved solutions for the two-barrier model (B). The best description of the data was obtained from the deadline model and substantially outperformed the two-barrier approach.",
keywords = "Faculty of Social Sciences, Multisensory processing, Monkey, Decision-making, Wiener diffusion process, Reaction times",
author = "Chandramouli Chandrasekaran and Steven Blurton and Matthias Gondan",
year = "2019",
doi = "10.1016/j.jmp.2019.05.001",
language = "English",
volume = "91",
pages = "159--175",
journal = "Journal of Mathematical Psychology",
issn = "0022-2496",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Audiovisual detection at different intensities and delays

AU - Chandrasekaran, Chandramouli

AU - Blurton, Steven

AU - Gondan, Matthias

PY - 2019

Y1 - 2019

N2 - In the redundant signals task, two target stimuli are associated with the same response. If both targets are presented together, redundancy gains are observed, as compared with single-target presentation. Different models explain these redundancy gains, including race and coactivation models (e.g., the Wiener diffusion superposition model, Schwarz, 1994, Journal of Mathematical Psychology, and the Ornstein Uhlenbeck diffusion superposition model, Diederich, 1995, Journal of Mathematical Psychology). In the present study, two monkeys performed a simple detection task with auditory, visual and audiovisual stimuli of different intensities and onset asynchronies. In its basic form, a Wiener diffusion superposition model provided only a poor description of the observed data, especially of the detection rate (i.e., accuracy or hit rate) for low stimulus intensity. We expanded the model in two ways, by (A) adding a temporal deadline, that is, restricting the evidence accumulation process to a stopping time, and (B) adding a second “nogo” barrier representing target absence. We present closed-form solutions for the mean absorption times and absorption probabilities for a Wiener diffusion process with a drift towards a single barrier in the presence of a temporal deadline (A), and numerically improved solutions for the two-barrier model (B). The best description of the data was obtained from the deadline model and substantially outperformed the two-barrier approach.

AB - In the redundant signals task, two target stimuli are associated with the same response. If both targets are presented together, redundancy gains are observed, as compared with single-target presentation. Different models explain these redundancy gains, including race and coactivation models (e.g., the Wiener diffusion superposition model, Schwarz, 1994, Journal of Mathematical Psychology, and the Ornstein Uhlenbeck diffusion superposition model, Diederich, 1995, Journal of Mathematical Psychology). In the present study, two monkeys performed a simple detection task with auditory, visual and audiovisual stimuli of different intensities and onset asynchronies. In its basic form, a Wiener diffusion superposition model provided only a poor description of the observed data, especially of the detection rate (i.e., accuracy or hit rate) for low stimulus intensity. We expanded the model in two ways, by (A) adding a temporal deadline, that is, restricting the evidence accumulation process to a stopping time, and (B) adding a second “nogo” barrier representing target absence. We present closed-form solutions for the mean absorption times and absorption probabilities for a Wiener diffusion process with a drift towards a single barrier in the presence of a temporal deadline (A), and numerically improved solutions for the two-barrier model (B). The best description of the data was obtained from the deadline model and substantially outperformed the two-barrier approach.

KW - Faculty of Social Sciences

KW - Multisensory processing

KW - Monkey

KW - Decision-making

KW - Wiener diffusion process

KW - Reaction times

U2 - 10.1016/j.jmp.2019.05.001

DO - 10.1016/j.jmp.2019.05.001

M3 - Journal article

C2 - 31404455

VL - 91

SP - 159

EP - 175

JO - Journal of Mathematical Psychology

JF - Journal of Mathematical Psychology

SN - 0022-2496

ER -

ID: 218221137