TEMPORAL LIMITATIONS OF THE STANDARD LEAKY INTEGRATE AND FIRE MODEL

Liya Merzon (), Georgiy Zhulikov (), Tatiana Malevich (), Sofia Krasovskaya () and Joseph MacInnes ()
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Liya Merzon: National Research University Higher School of Economics
Georgiy Zhulikov: National Research University Higher School of Economics
Tatiana Malevich: National Research University Higher School of Economics
Sofia Krasovskaya: National Research University Higher School of Economics
Joseph MacInnes: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: The leaky integrate and fire model of neural spiking has been used extensively to simulate saccadic responses in a variety of tasks from visual search to simple reaction times. Although it has been tested for its neural spiking accuracy and its spatial prediction of fixations in visual salience, it has not been well tested for its temporal accuracy. Saccade generation invariably results in a positively skewed distribution of saccadic reaction times over large numbers of samples, yet we show that the LIF algorithm tends to produce a distribution shifted to shorter fixations (in comparison with human data) in its classic implementation. Further, parameter optimization using a genetic algorithm and Nelder–Mead method does improve the fit of the resulting distribution, but is still unable to match temporal distributions of human responses in a simple visual search task. Further analysis revealed, that the LIF algorithm produces discrete reaction times instead of distributions. Aggregated over many pictures they may be treated as a distribution although the form of this distribution depends on the input images used to create it

Keywords: saccade generation; salience model; visual search; leaky integrate and fire model (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 21 pages
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in WP BRP Series: Science, Psychology / PSY, October 2018, pages 1-21

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Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:94psy2018

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