Home > Papers from 2010 > The impact of noise on models of path integration

The impact of noise on models of path integration

Opening the black box to see how brains perform path integration (PI) is out of reach of our current techniques. To better understand fundamental processes like path integration requires a creative touch with analytical and experimental approaches; Rob Vickerstaff and Allen Cheung have taken a modelling approach to their studies of PI. By assessing the impact of noise on various models of PI, they are able to rate the robustness of various co-ordinate frames for PI – surely a major factor in rating their biological plausibility.

Cheung A, Vickerstaff R, 2010 Finding the Way with a Noisy Brain. PLoS Comput Biol 6(11): e1000992. doi:10.1371/journal.pcbi.1000992

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Categories: Papers from 2010
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