Temporal Limitations of the Standard Leaky Integrate and Fire Model

21 Pages Posted: 16 Oct 2018

See all articles by Liya Merzon

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 W. MacInnes

National Research University Higher School of Economics

Date Written: October 10, 2018

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

JEL Classification: Z

Suggested Citation

Merzon, Liya and Zhulikov, Georgiy and Malevich, Tatiana and Krasovskaya, Sofia and MacInnes, Joseph W., Temporal Limitations of the Standard Leaky Integrate and Fire Model (October 10, 2018). Higher School of Economics Research Paper No. WP BRP 94/PSY/2018. Available at SSRN: https://ssrn.com/abstract=3263967 or http://dx.doi.org/10.2139/ssrn.3263967

Liya Merzon (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Georgiy Zhulikov

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Tatiana Malevich

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Sofia Krasovskaya

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Joseph W. MacInnes

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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