The capacity limitations of visual attention
Grant number: DP140102970 | Funding period: 2014 - 2017
Processes of attention allow the brain to select relevant stimuli from the environment and protect its limited information-processing capacity from overload. This project will develop and test a neurally-plausible, computational model of attentional selection and capacity limitations. The model describes how performance in simple cognitive tasks is determined by selection competition, the information and item capacity of visual short-term memory, and decision noise. It provides an account of how the effects of these various kinds of capacity limitation vary with strategy or task set, and provides a metric for the information capacity of visual short-term memory based on the additivity of sig..View full description
Related publications (13)
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The circular diffusion model is extended to provide a theory of the speed and accuracy of continuous outcome color decisions and u..
Dissociating neural variability related to stimulus quality and response times in perceptual decision-making
Stefan Bode, Daniel Bennett, David K Sewell, Bryan Paton, Gary F Egan, Philip L Smith, Carsten Murawski
According to sequential sampling models, perceptual decision-making is based on accumulation of noisy evidence towards a decision ..
The attention-weighted sample-size model of visual short-term memory: Attention capture predicts resource allocation and memory load
Philip L Smith, Simon D Lilburn, Elaine A Corbett, David K Sewell, Soren Kyllingsbaek
We investigated the capacity of visual short-term memory (VSTM) in a phase discrimination task that required judgments about the c..
From shunting inhibition to dynamic normalization: Attentional selection and decision-making in brief visual displays
Philip L Smith, David K Sewell, Simon D Lilburn
Normalization models of visual sensitivity assume that the response of a visual mechanism is scaled divisively by the sum of the a..