Understanding cone distributions from saccadic dynamics. Is information rate 
maximised?

Lewis, A; Garcia, R; Zhaoping, L

doi:10.1016/j.neucom.2004.01.131

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Understanding cone distributions from saccadic dynamics. Is information rate maximised?

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https://www.sciencedirect.com/science/article/pii/S0925231204001365
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Lewis, A., Garcia, R., & Zhaoping, L. (2004). Understanding cone distributions from saccadic dynamics. Is information rate maximised? Neurocomputing, 58-60, 807-813. doi:10.1016/j.neucom.2004.01.131.

Cite as: https://hdl.handle.net/21.11116/0000-0002-D79A-E

Abstract

There is not yet a fully satisfactory and quantitative explanation as to why human cones have their particular distribution on the retina. If this distribution is to maximise the rate of the information transfer, it should be proportional to the probability distribution of locations of attended objects. We derive this probability distribution from experiment data on eye movements to test this hypothesis, which provides a quantitative link between saccadic dynamics and the cone distribution.