Journal article

The Poisson shot noise model of visual short-term memory and choice response time: Normalized coding by neural population size

Philip L Smith

JOURNAL OF MATHEMATICAL PSYCHOLOGY | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2015

Abstract

A normalized coding condition is proposed that provides a theoretical link between the Poisson shot noise model of choice response time and a Poisson neuron model of the information capacity of visual short-term memory (VSTM). In both models, noise in the cognitive representations of stimuli is attributed to Poisson variability in the neural processes that encode them. In VSTM, a Poisson coding model predicts the invariance of [Formula: See text] across displays of different sizes, as is found experimentally, but it incorrectly predicts that the diffusion coefficient of the approximating diffusion process will decrease with its drift rate. Normalized coding assumes that the squared magnitude..

View full abstract

Grants

Awarded by Australian Research Council


Funding Acknowledgements

The research in this article was supported by Australian Research Council Discovery Grant DP140102970. I would like to express my appreciation for the hospitality of the Department of Psychology at Vanderbilt University, where preparation of this article was carried out and, in particular, to Gordon Logan, for research support. I thank E-J. Wagenmakers, Rani Moran, and Chris Donkin for helpful comments on an earlier version of the article.