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The lsnm_in_python repository contains Python scripts to simulate auditory and visual working memory experiments. The Python scripts in this repository are based on C and Matlab code originally developed by Malle Tagamets and Barry Horwitz in the 1990's to simulate a visual working memory experiment (see Tagamets and Horwitz, 1998) and on adaptations to it by Fatima Husain to simulate an auditory working memory experiment (see [Husain et al, 2004] (http://www.ncbi.nlm.nih.gov/pubmed/15050592)). It is also based on Barry Horwitz and Brent Warner's functional connectivity simulations (see [Horwitz et al, 2005] (http://www.ncbi.nlm.nih.gov/pubmed/16087450)). Although the code was originally developed for simulating electrical neuronal activity and PET (Tagamets and Horwitz), extensions were added to the code to simulate fMRI (Horwitz and Tagamets, 1999 and Husain et al, 2004) and MEG (Banerjee et al, 2012).