August 2016
Volume 16, Issue 12
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2016
Temporal Onset Diffusion Model for spatial attention
Author Affiliations
  • Joseph MacInnes
    Higher School of Economics, department of psychology
Journal of Vision September 2016, Vol.16, 192. doi:10.1167/16.12.192
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      Joseph MacInnes; Temporal Onset Diffusion Model for spatial attention. Journal of Vision 2016;16(12):192. doi: 10.1167/16.12.192.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Cuing a location in space produces a short lived advantage in reaction time to targets at that location. Multiple diffusion models are presented for saccadic and manual reaction time for spatial cuing experiments with random CTOA and probe locations. Diffusion models can generate accurate distributions of reaction time data by modelling a response as a build-up of evidence towards a response threshold (Ratcliffe, 2008). An adapted diffusion model is presented which allows for spatiotemporal events to trigger changes in signal strength over time. One of the strengths of diffusion models is the ability to match model parameters with experimental manipulations to discover the potential underlying mechanisms of the decision process (Ludwig et al, 2009). Diffusion Models which allow temporal onsets have added potential to implement theories of attention which rely on sequential events and internal feedback mechanisms. Data from two experiments are presented with this model: pre and post cue effects thought to be caused feedback mechanisms and perceptual merging (Krueger et al, 2014); and new data on the transition timing of facilitation and Inhibition of Return.

Meeting abstract presented at VSS 2016

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