Building a Boolean framework of multisensory decision making.

Otto, Thomas (PI)

School of Psychology and Neuroscience

Project: Standard

Acronym	Boolean framework
Status	Finished
Effective start/end date	1/05/16 → 30/04/19

Funding

BBSRC: £321,730.29

3 Article

No selective integration required: a race model explains responses to audiovisual motion-in-depth
Chua, S. F. A., Liu, Y., Harris, J. & Otto, T. U., 1 Oct 2022, In: Cognition. 227, 14 p., 105204.
Research output: Contribution to journal › Article › peer-review

Open Access
File
RSE-box: an analysis and modelling package to study response times to multiple signals
Otto, T. U., 11 Sept 2019, In: The Quantitative Methods for Psychology. 15, 2, p. 112-133 22 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Multisensory decisions: the test of a race model, its logic, and power
Otto, T. & Mamassian, P., Jan 2017, In: Multisensory Research. 30, 1, p. 1–24
Research output: Contribution to journal › Article › peer-review

Open Access
File

3 Presentation
1 Invited talk

The associative property holds for combination of auditory, visual, and tactile signals in multisensory decisions
Otto, T. (Speaker)
Sept 2019
Activity: Talk or presentation types › Presentation
Trimodal is faster than bimodal and race models can explain it all
Otto, T. (Invited speaker)
19 Oct 2018
Activity: Talk or presentation types › Invited talk

File
The effect of pre-period design in multisensory RT experiments
Pike, C. D. (Speaker) & Otto, T. (Speaker)
28 Aug 2018
Activity: Talk or presentation types › Presentation

No selective integration required: a race model explains responses to audiovisual motion-in-depth (dataset)
Chua, S. F. A. (Creator), Liu, Y. (Creator), Harris, J. (Creator) & Otto, T. (Creator), University of St Andrews, 27 Jun 2022
DOI: 10.17630/362541c2-ac2a-40d5-8d27-26d47a464e12
Dataset

File
RSE-box, Version 1.0
Otto, T. (Creator), GitHub, 2018
https://github.com/tomotto/RSE-box/ and one more link, http://lclab.wp.st-andrews.ac.uk/rse-box (show fewer)
Dataset: Software