muller lab department of applied mathematics western university

we are a lab for computational and theoretical neuroscience at western university in london, ontario. we develop computational tools and mathematical models to solve problems in sensory processing and memory.

code repositories --------------------------------------------

wave: toolbox for analysis and visualization of noisy multisite spatiotemporal data. Originally developed for multichannel recordings in neuroscience, the functions in wave are general and applicable to multisite data in biology, ecology, climatology, and experimental physics. [MATLAB]

Published in: Muller et al., Nature Communications 5, 2014; Muller et al., eLife 5, 2016

generalized-phase: implementation of the "generalized phase" (GP) approach to analysis of wideband signals. the GP represents a comprehensive numerical approach to the original analytical signal framework introduced by Denis Gabor in 1946, correcting technical limitations that appear in the complex representation of non-stationary, non-narrowband signals. [MATLAB]

Published in: Davis*, Muller* et al., Nature, 2020 (*equal contribution)


contact ------------------------------------------------------

Lyle Muller: 

acknowledgements ---------------------------------------------

our research work is generously supported by BrainsCAN and an international NSF NeuroNex award (#2015276)